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Ferreira MFS, Brambilla G, Thévenaz L, Feng X, Zhang L, Sumetsky M, Jones C, Pedireddy S, Vollmer F, Dragic PD, Henderson-Sapir O, Ottaway DJ, Strupiechonski E, Hernandez-Cardoso GG, Hernandez-Serrano AI, González FJ, Castro Camus E, Méndez A, Saccomandi P, Quan Q, Xie Z, Reinhard BM, Diem M. Roadmap on optical sensors. J Opt 2024; 26:013001. [PMID: 38116399 PMCID: PMC10726224 DOI: 10.1088/2040-8986/ad0e85] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 06/09/2023] [Accepted: 11/21/2023] [Indexed: 12/21/2023]
Abstract
Optical sensors and sensing technologies are playing a more and more important role in our modern world. From micro-probes to large devices used in such diverse areas like medical diagnosis, defence, monitoring of industrial and environmental conditions, optics can be used in a variety of ways to achieve compact, low cost, stand-off sensing with extreme sensitivity and selectivity. Actually, the challenges to the design and functioning of an optical sensor for a particular application requires intimate knowledge of the optical, material, and environmental properties that can affect its performance. This roadmap on optical sensors addresses different technologies and application areas. It is constituted by twelve contributions authored by world-leading experts, providing insight into the current state-of-the-art and the challenges their respective fields face. Two articles address the area of optical fibre sensors, encompassing both conventional and specialty optical fibres. Several other articles are dedicated to laser-based sensors, micro- and nano-engineered sensors, whispering-gallery mode and plasmonic sensors. The use of optical sensors in chemical, biological and biomedical areas is discussed in some other papers. Different approaches required to satisfy applications at visible, infrared and THz spectral regions are also discussed.
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Affiliation(s)
| | | | | | - Xian Feng
- Jiangsu Normal University, People’s Republic of China
| | - Lei Zhang
- Zhejiang University, People’s Republic of China
| | - Misha Sumetsky
- Aston Institute of Photonic Technologies, Aston University, Birmingham, United Kingdom
| | - Callum Jones
- Department of Physics and Astronomy, Living Systems Institute, University of Exeter, United Kingdom
| | - Srikanth Pedireddy
- Department of Physics and Astronomy, Living Systems Institute, University of Exeter, United Kingdom
| | - Frank Vollmer
- Department of Physics and Astronomy, Living Systems Institute, University of Exeter, United Kingdom
| | - Peter D Dragic
- University of Illinois at Urbana-Champaign, United States of America
| | - Ori Henderson-Sapir
- Department of Physics and Institute of Photonics and Advanced Sensing, The University of Adelaide, SA, Australia
- OzGrav, University of Adelaide, Adelaide, SA, Australia
- Mirage Photonics, Oaklands Park, SA, Australia
| | - David J Ottaway
- Department of Physics and Institute of Photonics and Advanced Sensing, The University of Adelaide, SA, Australia
- OzGrav, University of Adelaide, Adelaide, SA, Australia
| | | | | | | | | | | | | | - Paola Saccomandi
- Department of Mechanical Engineering, Politecnico di Milano, Italy
| | - Qimin Quan
- NanoMosaic Inc., United States of America
| | - Zhongcong Xie
- Massachusetts General Hospital and Harvard Medical School, United States of America
| | - Björn M Reinhard
- Department of Chemistry and The Photonics Center, Boston University, United States of America
| | - Max Diem
- Northeastern University and CIRECA LLC, United States of America
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2
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Pereira TM, Diem M, Bachmann L, Bird B, Miljković M, Zezell DM. Evaluating biochemical differences in thyroglobulin from normal and goiter tissues by infrared spectral imaging. Analyst 2021; 145:7907-7915. [PMID: 33016272 DOI: 10.1039/d0an00700e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Thyroglobulin is a glycoiodoprotein that is produced by thyroid follicular cells; it is stored in follicles in structures known as colloids. The main function of this protein is to stock the hormones triiodothyronine (T3) and thyroxine (T4) until the body requires them. This study aims to demonstrate that infrared spectral imaging with appropriate multivariate analysis can reveal biochemical changes in this glycoprotein. The results achieved herein point out biochemical differences in the colloid samples obtained from normal and goiter patients including glycosylation and changes in the secondary conformational structure. We have presented the first spectral histopathology-based method to detect biochemical differences in thyroid colloids, such as TG iodination, glycosylation, and changes in the secondary structure in normal and goiter patients. The observed changes in the colloids were mainly due to the alterations in amide I and amide II (secondary conformation of proteins) and there is a correlation with different glycosylation between normal and goiter tissues.
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Affiliation(s)
- Thiago Martini Pereira
- Instituto de Ciência e Tecnologia, Universidade Federal de São Paulo, Rua Talim, 330-12231-280 - São José dos Campos, Brazil.
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3
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Diem M, Ergin A, Mu X. Spectral histopathology of the lung: A review of two large studies. J Biophotonics 2019; 12:e201900061. [PMID: 31177622 DOI: 10.1002/jbio.201900061] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 05/06/2019] [Accepted: 06/04/2019] [Indexed: 06/09/2023]
Abstract
This paper summarizes results from two large lung cancer studies comprising over 700 samples that demonstrate the ability of spectral histopathology (SHP) to distinguish cancerous tissue regions from normal tissue, to differentiate benign lesions from normal tissue and cancerous lesions, and to classify lung cancer types. Furthermore, malignancy-associated changes can be identified in cancer-adjacent normal tissue. The ability to differentiate a multitude of normal cells and tissue types allow SHP to identify tumor margins and immune cell infiltration. Finally, SHP easily distinguishes small cell lung cancer (SCLC) from non-SCLC (NSCLC) and provides a further differentiation of NSCLC into adenocarcinomas and squamous cell carcinomas with an accuracy comparable of classical histopathology combined with immunohistochemistry. Case studies are presented that demonstrates that SHP can resolve interobserver discrepancies in standard histopathology.
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Affiliation(s)
- Max Diem
- CIRECA LLC, Cambridge, Massachusetts
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts
| | | | - Xinying Mu
- CIRECA LLC, Cambridge, Massachusetts
- Department of Mathematics and Statistics, Boston University, Boston, Massachusetts
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4
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Akalin A, Ergin A, Remiszewski S, Mu X, Raz D, Diem M. Resolving Interobserver Discrepancies in Lung Cancer Diagnoses by Spectral Histopathology. Arch Pathol Lab Med 2019; 143:157-173. [PMID: 30141697 PMCID: PMC8817896 DOI: 10.5858/arpa.2017-0476-sa] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
This paper reports the results of a collaborative lung cancer study between City of Hope Cancer Center (Duarte, California) and CIRECA, LLC (Cambridge, Massachusetts), comprising 328 samples from 249 patients, that used an optical technique known as spectral histopathology (SHP) for tissue classification. Because SHP is based on a physical measurement, it renders diagnoses on a more objective and reproducible basis than methods based on assessing cell morphology and tissue architecture. This report demonstrates that SHP provides distinction of adenocarcinomas from squamous cell carcinomas of the lung with an accuracy comparable to that of immunohistochemistry and highly reliable classification of adenosquamous carcinoma. Furthermore, this report shows that SHP can be used to resolve interobserver differences in lung pathology. Spectral histopathology is based on the detection of changes in biochemical composition, rather than morphologic features, and is therefore more akin to methods such as matrix-assisted laser desorption ionization time-of-flight mass spectrometry imaging. Both matrix-assisted laser desorption ionization time-of-flight mass spectrometry and SHP imaging modalities demonstrate that changes in tissue morphologic features observed in classical pathology are accompanied by, and may be correlated to, changes in the biochemical composition at the cellular level. Thus, these imaging methods provide novel insight into biochemical changes due to disease.
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Affiliation(s)
- Ali Akalin
- From the Department of Pathology, University of Massachusetts Medical School, Worcester (Dr Akalin); CIRECA, LLC, Cambridge, Massachusetts (Drs Ergin and Diem, Mr Remiszewski, and Ms Mu); the Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, Massachusetts (Ms Mu); the Division of Thoracic Surgery, City of Hope Medical Center, Duarte, California (Dr Raz); and the Department of Chemistry & Chemical Biology, Northeastern University, Boston, Massachusetts (Dr Diem)
| | - Ayşegül Ergin
- From the Department of Pathology, University of Massachusetts Medical School, Worcester (Dr Akalin); CIRECA, LLC, Cambridge, Massachusetts (Drs Ergin and Diem, Mr Remiszewski, and Ms Mu); the Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, Massachusetts (Ms Mu); the Division of Thoracic Surgery, City of Hope Medical Center, Duarte, California (Dr Raz); and the Department of Chemistry & Chemical Biology, Northeastern University, Boston, Massachusetts (Dr Diem)
| | - Stanley Remiszewski
- From the Department of Pathology, University of Massachusetts Medical School, Worcester (Dr Akalin); CIRECA, LLC, Cambridge, Massachusetts (Drs Ergin and Diem, Mr Remiszewski, and Ms Mu); the Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, Massachusetts (Ms Mu); the Division of Thoracic Surgery, City of Hope Medical Center, Duarte, California (Dr Raz); and the Department of Chemistry & Chemical Biology, Northeastern University, Boston, Massachusetts (Dr Diem)
| | - Xinying Mu
- From the Department of Pathology, University of Massachusetts Medical School, Worcester (Dr Akalin); CIRECA, LLC, Cambridge, Massachusetts (Drs Ergin and Diem, Mr Remiszewski, and Ms Mu); the Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, Massachusetts (Ms Mu); the Division of Thoracic Surgery, City of Hope Medical Center, Duarte, California (Dr Raz); and the Department of Chemistry & Chemical Biology, Northeastern University, Boston, Massachusetts (Dr Diem)
| | - Dan Raz
- From the Department of Pathology, University of Massachusetts Medical School, Worcester (Dr Akalin); CIRECA, LLC, Cambridge, Massachusetts (Drs Ergin and Diem, Mr Remiszewski, and Ms Mu); the Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, Massachusetts (Ms Mu); the Division of Thoracic Surgery, City of Hope Medical Center, Duarte, California (Dr Raz); and the Department of Chemistry & Chemical Biology, Northeastern University, Boston, Massachusetts (Dr Diem)
| | - Max Diem
- From the Department of Pathology, University of Massachusetts Medical School, Worcester (Dr Akalin); CIRECA, LLC, Cambridge, Massachusetts (Drs Ergin and Diem, Mr Remiszewski, and Ms Mu); the Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, Massachusetts (Ms Mu); the Division of Thoracic Surgery, City of Hope Medical Center, Duarte, California (Dr Raz); and the Department of Chemistry & Chemical Biology, Northeastern University, Boston, Massachusetts (Dr Diem)
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5
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Abstract
This paper reviews methods to arrive at optimum decision tree or label tree structures to analyze large SHP datasets. Supervised methods of analysis can utilize either sequential or (flat) multi-classifiers depending on the variance in the data, and on the number of spectral classes to be distinguished. For small number of spectral classes, multi-classifiers have been used in the past, but for the analysis of datasets containing large numbers (∼20) of disease or tissue types, mixed decision tree structures were found to be advantageous. In these mixed structures, discrimination into classes and subclasses is achieved via hierarchical decision/label tree structures.
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Affiliation(s)
- Xinying Mu
- Boston University, Department of Mathematics and Statistics, MA, USA.
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6
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Chrabaszcz K, Jasztal A, Smęda M, Zieliński B, Blat A, Diem M, Chlopicki S, Malek K, Marzec KM. Label-free FTIR spectroscopy detects and visualizes the early stage of pulmonary micrometastasis seeded from breast carcinoma. Biochim Biophys Acta Mol Basis Dis 2018; 1864:3574-3584. [DOI: 10.1016/j.bbadis.2018.08.022] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 08/06/2018] [Accepted: 08/17/2018] [Indexed: 12/18/2022]
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7
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Diem M. Comments on recent reports on infrared spectral detection of disease markers in blood components. J Biophotonics 2018; 11:e201800064. [PMID: 29774984 DOI: 10.1002/jbio.201800064] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 04/12/2018] [Indexed: 06/08/2023]
Abstract
The search for disease markers in whole blood, or easily accessible blood components by spectral methods is a highly important aspect in the field of biophotonic research for disease diagnostics and screening, since it promises a minimally invasive approach to assess an individual's state of health. Fourier transform infrared spectroscopy, in particular, promises to be a fast, inexpensive method to search for markers of disease, since it detects variation in the proteome, lipidome and metabolome of biofluids, or activation of immune cells. However, the analysis of any materials by spectral methods is confounded by external factors such as those related to sample deposition and data acquisition, and by inherent variations in blood plasma concentration of small molecules (lactate, carbonate, phosphate, glucose) that varies between individual subjects and even for a given individual, as a function of time. Furthermore, observed differences in spectral patterns between patient samples and the control group may be due to the body's immune response (in particular, to the albumin to globulin ratio) and therefore, may not be specific to disease. These factors need to be accounted for in any effort to reliably detect much smaller variations in the concentration of disease-specific markers.
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Affiliation(s)
- Max Diem
- CIRECA, LLC, Cambridge, Massachusetts
- Department of Chemistry and Chemical Biology (Emeritus), Northeastern University, Boston, Massachusetts
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8
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Perez-Guaita D, Marzec KM, Hudson A, Evans C, Chernenko T, Matthäus C, Miljkovic M, Diem M, Heraud P, Richards JS, Andrew D, Anderson DA, Doerig C, Garcia-Bustos J, McNaughton D, Wood BR. Parasites under the Spotlight: Applications of Vibrational Spectroscopy to Malaria Research. Chem Rev 2018; 118:5330-5358. [DOI: 10.1021/acs.chemrev.7b00661] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- David Perez-Guaita
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria 3800, Australia
| | - Katarzyna M. Marzec
- Jagiellonian Centre for Experimental Therapeutics (JCET), Jagiellonian University, Bobrzyńskiego 14, Kraków 30-348, Poland
- Center for Medical Genomics (OMICRON), Jagiellonian University, Kopernika 7C, Krakow 31-034, Poland
| | - Andrew Hudson
- Department of Chemistry, University of Leicester, University Road, Leicester LE1 7RH, United Kingdom
| | - Corey Evans
- Department of Chemistry, University of Leicester, University Road, Leicester LE1 7RH, United Kingdom
| | - Tatyana Chernenko
- Becton Dickinson and Company, 2350 Qume Drive, San Jose, California 95131, United States
| | - Christian Matthäus
- Leibniz Institute of Photonic Technology, Albert Einstein Straße 9, Jena 07745, Germany
- Institute of Physical Chemistry and Abbe School of Photonics, Friedrich Schiller University, Helmholtz Weg 4, Jena 07743, Germany
| | - Milos Miljkovic
- Department of Mechanical Engineering, Tufts University, 200 Boston Avenue, Medford, Massachusetts 02155, United States
| | - Max Diem
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, 316 Hurtig Hall, 360 Huntington Avenue, Boston, Massachusetts 02155, United States
| | - Philip Heraud
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria 3800, Australia
| | - Jack S. Richards
- Centre for Biomedical Research, Burnet Institute, Melbourne, Victoria 3004, Australia
- Department of Microbiology, Monash University, Clayton, Victoria 3800, Australia
- Department of Medicine, University of Melbourne, Parkville, Victoria 3050, Australia
| | - Dean Andrew
- Centre for Biomedical Research, Burnet Institute, Melbourne, Victoria 3004, Australia
| | - David A. Anderson
- Centre for Biomedical Research, Burnet Institute, Melbourne, Victoria 3004, Australia
| | - Christian Doerig
- Department of Microbiology and the Biomedical Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Jose Garcia-Bustos
- Department of Microbiology and the Biomedical Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Don McNaughton
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria 3800, Australia
| | - Bayden R. Wood
- Centre for Biospectroscopy, School of Chemistry, Monash University, Clayton, Victoria 3800, Australia
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9
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Goodacre R, Sergo V, Barr H, Sammon C, Schultz ZD, Baker MJ, Graham D, Marques MP, Sulé-Suso J, Livermore J, Faulds K, Sinjab F, Matousek P, Campbell CJ, Dluhy R, Gardner P, Phillips C, Diem M, Wood B, Apolonskiy A, Kazarian S, Fullwood L, Gough K, Petrich W, Lloyd G, Ibrahim O, Cinque G, Sockalingum GD, Stone N, Kendall C, McAughtrie S, Perez-Guaita D, Clark L, Gerwert K, Bonifacio A, Notingher I, Lasch P, Bhargava R, Lepert G, Mader K, Paterson C. Clinical Spectroscopy: general discussion. Faraday Discuss 2018; 187:429-60. [PMID: 27282545 DOI: 10.1039/c6fd90013e] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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10
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Goodacre R, Baker MJ, Graham D, Schultz ZD, Diem M, Marques MP, Cinque G, Vernooij R, Sulé-Suso J, Byrne HJ, Faulds K, Hermes M, Fleming H, Bonifacio A, Dluhy R, Gardner P, El-Mashtoly S, Wood B, Gough K, Fornasaro S, Kazarian S, Jamieson L, Petrich W, Sockalingum GD, Stone N, Kendall C, Sinjab F, Haris P, Subaihi A, Remiszewski S, Hellwig P, Sergo V, Gerwert K, Phillips C, Campbell CJ. Biofluids and other techniques: general discussion. Faraday Discuss 2018; 187:575-601. [PMID: 27282657 DOI: 10.1039/c6fd90014c] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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11
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Diem M, Ergin A, Remiszewski S, Mu X, Akalin A, Raz D. Infrared micro-spectroscopy of human tissue: principles and future promises. Faraday Discuss 2018; 187:9-42. [PMID: 27075634 DOI: 10.1039/c6fd00023a] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
This article summarizes the methods employed, and the progress achieved over the past two decades in applying vibrational (Raman and IR) micro-spectroscopy to problems of medical diagnostics and cellular biology. During this time, several research groups have verified the enormous information contained in vibrational spectra; in fact, information on protein, lipid and metabolic composition of cells and tissues can be deduced by decoding the observed vibrational spectra. This decoding process is aided by the availability of computer workstations and advanced algorithms for data analysis. Furthermore, commercial instrumentation for the fast collection of both Raman and infrared micro-spectral data has enabled the collection of images of cells and tissues based solely on vibrational spectroscopic data. The progress in the field has been manifested by a steady increase in the number and quality of publications submitted by established and new research groups in vibrational spectroscopy in the biological and biomedical arenas.
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Affiliation(s)
- Max Diem
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, 316 Hurtig Hall, 360 Huntington Ave, Boston, MA, USA. and Cireca Theranostics, LLC, 19 Blackstone St, Cambridge, MA, USA
| | - Ayşegül Ergin
- Cireca Theranostics, LLC, 19 Blackstone St, Cambridge, MA, USA
| | | | - Xinying Mu
- Cireca Theranostics, LLC, 19 Blackstone St, Cambridge, MA, USA and Department of Mathematics and Statistics and Program in Bioinformatics, Boston University, Boston, MA, USA
| | - Ali Akalin
- Department of Pathology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Dan Raz
- Division of Thoracic Surgery, City of Hope Medical Center, Duarte, CA, USA
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12
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Ferreira MFS, Castro-Camus E, Ottaway DJ, López-Higuera JM, Feng X, Jin W, Jeong Y, Picqué N, Tong L, Reinhard BM, Pellegrino PM, Méndez A, Diem M, Vollmer F, Quan Q. Roadmap on optical sensors. J Opt 2017; 19:083001. [PMID: 29375751 PMCID: PMC5781231 DOI: 10.1088/2040-8986/aa7419] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Sensors are devices or systems able to detect, measure and convert magnitudes from any domain to an electrical one. Using light as a probe for optical sensing is one of the most efficient approaches for this purpose. The history of optical sensing using some methods based on absorbance, emissive and florescence properties date back to the 16th century. The field of optical sensors evolved during the following centuries, but it did not achieve maturity until the demonstration of the first laser in 1960. The unique properties of laser light become particularly important in the case of laser-based sensors, whose operation is entirely based upon the direct detection of laser light itself, without relying on any additional mediating device. However, compared with freely propagating light beams, artificially engineered optical fields are in increasing demand for probing samples with very small sizes and/or weak light-matter interaction. Optical fiber sensors constitute a subarea of optical sensors in which fiber technologies are employed. Different types of specialty and photonic crystal fibers provide improved performance and novel sensing concepts. Actually, structurization with wavelength or subwavelength feature size appears as the most efficient way to enhance sensor sensitivity and its detection limit. This leads to the area of micro- and nano-engineered optical sensors. It is expected that the combination of better fabrication techniques and new physical effects may open new and fascinating opportunities in this area. This roadmap on optical sensors addresses different technologies and application areas of the field. Fourteen contributions authored by experts from both industry and academia provide insights into the current state-of-the-art and the challenges faced by researchers currently. Two sections of this paper provide an overview of laser-based and frequency comb-based sensors. Three sections address the area of optical fiber sensors, encompassing both conventional, specialty and photonic crystal fibers. Several other sections are dedicated to micro- and nano-engineered sensors, including whispering-gallery mode and plasmonic sensors. The uses of optical sensors in chemical, biological and biomedical areas are described in other sections. Different approaches required to satisfy applications at visible, infrared and THz spectral regions are also discussed. Advances in science and technology required to meet challenges faced in each of these areas are addressed, together with suggestions on how the field could evolve in the near future.
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Affiliation(s)
- Mário F S Ferreira
- Department of Physics, I3N-Institute of Nanostructures, Nanomodelling and Nanofabrication, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Enrique Castro-Camus
- Centro de Investigaciones en Optica A.C. Loma del Bosque 115, Lomas del Campestre. Leon, Guanajuato, 37150, Mexico
| | - David J Ottaway
- Department of Physics and Institute of Photonics and Advanced Sensing, The University of Adelaide, Adelaide, South Australia, Australia
| | - José Miguel López-Higuera
- Photonics Engineering Group (GIF), Department TEISA, University of Cantabria, E-39005 Santander, Spain
- CIBER-bbn, Instituto de Salud Carlos III, E-28029 Madrid, Spain
- IDIVAL, Instituto de Investigación Marques Valdecilla, E-39011 Santander, Cantabria, Spain
| | - Xian Feng
- Beijing Engineering Research Center of Applied Laser Technology; Institute of Laser Engineering, Beijing University of Technology, Beijing 100124, People's Republic of China
| | - Wei Jin
- Department of Electrical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong
| | - Yoonchan Jeong
- Laser Engineering and Applications Laboratory, Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Nathalie Picqué
- Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Str. 1. D-85748 Garching, Germany
| | - Limin Tong
- State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China
| | - Björn M Reinhard
- Photonics Center, Boston University, 8 Saint Mary's Street, Boston, Massachusetts 02215, United States of America
- Chemistry Department, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, United States of America
| | - Paul M Pellegrino
- RDRL-SEE-O, US Army Research Laboratory, 2800 Powder Mill Road, Adelphi, Maryland 20783, United States of America
| | - Alexis Méndez
- MCH Engineering LLC, Alameda, California 94501, United States of America
| | - Max Diem
- Laboratory for Spectral Diagnosis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States of America
- Cireca Theranostics, LLC, Cambridge, Massachusetts 02139, United States of America
| | - Frank Vollmer
- Living Systems Institute, Department of Physics and Astronomy, University of Exeter, Exeter, EX4 4QD, United Kingdom
| | - Qimin Quan
- Rowland Institute at Harvard University, Cambridge, Massachusetts 02142, United States of America
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13
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Diem M, Miljković M, Bird B, Mazur AI, Schubert JM, Townsend D, Laver N, Almond M, Old O. Cancer screening via infrared spectral cytopathology (SCP): results for the upper respiratory and digestive tracts. Analyst 2017; 141:416-28. [PMID: 26421636 DOI: 10.1039/c5an01751c] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Instrumental advances in infrared micro-spectroscopy have made possible the observation of individual human cells and even subcellular structures. The observed spectra represent a snapshot of the biochemical composition of a cell; this composition varies subtly but reproducibly with cellular effects such as progression through the cell cycle, cell maturation and differentiation, and disease. The aim of this summary is to provide a synopsis of the progress achieved in infrared spectral cytopathology (SCP) - the combination of infrared micro-spectroscopy and multivariate methods of analysis - for the detection of abnormalities in exfoliated human cells of the upper respiratory and digestive tract, namely the oral and nasopharyngeal cavities, and the esophagus.
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Affiliation(s)
- Max Diem
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA and Cireca Theranostics, LLC, 19 Blackstone St, Cambridge, MA 02139, USA.
| | - Miloš Miljković
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Benjamin Bird
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Antonella I Mazur
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Jen M Schubert
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Douglas Townsend
- Laboratory for Spectral Diagnosis (LSpD), Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
| | - Nora Laver
- Department of Pathology, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA
| | - Max Almond
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, UK
| | - Oliver Old
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, Great Western Road, Gloucester, UK
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14
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Livi LF, Cappellini G, Diem M, Franchi L, Clivati C, Frittelli M, Levi F, Calonico D, Catani J, Inguscio M, Fallani L. Synthetic Dimensions and Spin-Orbit Coupling with an Optical Clock Transition. Phys Rev Lett 2016; 117:220401. [PMID: 27925719 DOI: 10.1103/physrevlett.117.220401] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Indexed: 06/06/2023]
Abstract
We demonstrate a novel way of synthesizing spin-orbit interactions in ultracold quantum gases, based on a single-photon optical clock transition coupling two long-lived electronic states of two-electron ^{173}Yb atoms. By mapping the electronic states onto effective sites along a synthetic "electronic" dimension, we have engineered fermionic ladders with synthetic magnetic flux in an experimental configuration that has allowed us to achieve uniform fluxes on a lattice with minimal requirements and unprecedented tunability. We have detected the spin-orbit coupling with fiber-link-enhanced clock spectroscopy and directly measured the emergence of chiral edge currents, probing them as a function of the flux. These results open new directions for the investigation of topological states of matter with ultracold atomic gases.
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Affiliation(s)
- L F Livi
- LENS European Laboratory for Nonlinear Spectroscopy, I-50019 Sesto Fiorentino, Italy
- INO-CNR Istituto Nazionale di Ottica del CNR, Sezione di Sesto Fiorentino, I-50019 Sesto Fiorentino, Italy
| | - G Cappellini
- Department of Physics and Astronomy, University of Florence, I-50019 Sesto Fiorentino, Italy
- INO-CNR Istituto Nazionale di Ottica del CNR, Sezione di Sesto Fiorentino, I-50019 Sesto Fiorentino, Italy
| | - M Diem
- ILP Institut für Laserphysik, Universität Hamburg, D-20355 Hamburg, Germany
- INRIM Istituto Nazionale di Ricerca Metrologica, I-10135 Torino, Italy
| | - L Franchi
- Department of Physics and Astronomy, University of Florence, I-50019 Sesto Fiorentino, Italy
| | - C Clivati
- INRIM Istituto Nazionale di Ricerca Metrologica, I-10135 Torino, Italy
| | - M Frittelli
- INRIM Istituto Nazionale di Ricerca Metrologica, I-10135 Torino, Italy
| | - F Levi
- INRIM Istituto Nazionale di Ricerca Metrologica, I-10135 Torino, Italy
| | - D Calonico
- INRIM Istituto Nazionale di Ricerca Metrologica, I-10135 Torino, Italy
| | - J Catani
- LENS European Laboratory for Nonlinear Spectroscopy, I-50019 Sesto Fiorentino, Italy
- INO-CNR Istituto Nazionale di Ottica del CNR, Sezione di Sesto Fiorentino, I-50019 Sesto Fiorentino, Italy
- INFN Istituto Nazionale di Fisica Nucleare, Sezione di Firenze, I-50019 Sesto Fiorentino, Italy
| | - M Inguscio
- LENS European Laboratory for Nonlinear Spectroscopy, I-50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, I-50019 Sesto Fiorentino, Italy
- INO-CNR Istituto Nazionale di Ottica del CNR, Sezione di Sesto Fiorentino, I-50019 Sesto Fiorentino, Italy
| | - L Fallani
- LENS European Laboratory for Nonlinear Spectroscopy, I-50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, I-50019 Sesto Fiorentino, Italy
- INO-CNR Istituto Nazionale di Ottica del CNR, Sezione di Sesto Fiorentino, I-50019 Sesto Fiorentino, Italy
- INFN Istituto Nazionale di Fisica Nucleare, Sezione di Firenze, I-50019 Sesto Fiorentino, Italy
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15
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Diem M, Ergin A, Remiszewski S, Mu X. PS01.31: A Reagent-Free, High Resolution Lung Cancer Diagnostic Method Based on Phenotypic Infrared Spectral Imaging. J Thorac Oncol 2016. [DOI: 10.1016/j.jtho.2016.09.066] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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16
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Baker MJ, Goodacre R, Sammon C, Marques MP, Gardner P, Tipping W, Sulé-Suso J, Wood B, Byrne HJ, Hermes M, Matousek P, Campbell CJ, El-Mashtoly S, Frost J, Phillips C, Diem M, Kohler A, Lau K, Kazarian S, Petrich W, Lloyd G, Delfino I, Cinque G, Isabelle M, Stone N, Kendall C, Jamieson L, Perez-Guaita D, Clark L, Gerwert K, Notingher I, Quaroni L, Bhargava R, Meade A, Lyng F. Single cell analysis/data handling: general discussion. Faraday Discuss 2016; 187:299-327. [PMID: 27282416 DOI: 10.1039/c6fd90012g] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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17
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Sammon C, Schultz ZD, Kazarian S, Barr H, Goodacre R, Graham D, Baker MJ, Gardner P, Wood B, Campbell CJ, Dluhy R, El-Mashtoly S, Phillips C, Frost J, Diem M, Kohler A, Haris P, Apolonskiy A, Amrania H, Lasch P, Zhang Z, Petrich W, Sockalingum GD, Stone N, Gerwert K, Notingher I, Bhargava R, Kröger-Lui N, Isabelle M, Pilling M. Spectral Pathology: general discussion. Faraday Discuss 2016; 187:155-86. [DOI: 10.1039/c6fd90011a] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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18
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Townsend D, Miljković M, Bird B, Lenau K, Old O, Almond M, Kendall C, Lloyd G, Shepherd N, Barr H, Stone N, Diem M. Infrared micro-spectroscopy for cyto-pathological classification of esophageal cells. Analyst 2015; 140:2215-23. [PMID: 25594077 DOI: 10.1039/c4an01884b] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
We report results from a study utilizing infrared spectral cytopathology (SCP) to detect abnormalities in exfoliated esophageal cells. SCP has been developed over the past decade as an ancillary tool to classical cytopathology. In SCP, the biochemical composition of individual cells is probed by collecting infrared absorption spectra from each individual, unstained cell, and correlating the observed spectral patterns, and the variations therein, against classical diagnostic methods to obtain an objective, machine-based classification of cells. In the past, SCP has been applied to the analysis and classification of cells exfoliated from the cervix and the oral cavity. In these studies, it was established that SCP can distinguish normal and abnormal cell types. Furthermore, SCP can differentiate between truly normal cells, and cells with normal morphology from the vicinity of abnormalities. Thus, SCP may be a valuable tool for the screening of early stages of dysplasia and pre-cancer.
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Affiliation(s)
- Douglas Townsend
- Laboratory for Spectral Diagnosis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA.
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19
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Ergin A, Großerüschkamp F, Theisen O, Gerwert K, Remiszewski S, Thompson CM, Diem M. A method for the comparison of multi-platform spectral histopathology (SHP) data sets. Analyst 2015; 140:2465-72. [PMID: 25664352 DOI: 10.1039/c4an01879f] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Results of a study comparing infrared imaging data sets collected on different instruments or instrument platforms are reported, along with detailed methods developed to permit such comparisons. It was found that different instrument platforms, although employing different detector technologies and pixel sizes, produce highly similar and reproducible spectral results. However, differences in the absolute intensity values of the reflectance data sets were observed that were caused by heterogeneity of the sample substrate in terms of reflectivity and planarity.
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20
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Chernenko T, Buyukozturk F, Miljkovic M, Carrier R, Diem M, Amiji M. Label-Free Raman Microspectral Analysis for Comparison of Cellular Uptake and Distribution between Non-Targeted and EGFR-Targeted Biodegradable Polymeric Nanoparticles. Drug Deliv Transl Res 2015; 3. [PMID: 24298430 DOI: 10.1007/s13346-013-0178-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Active targeted delivery of nanoparticle-encapsulated agents to tumor cells in vivo is expected to enhance therapeutic effect with significantly less non-specific toxicity. Active targeting is based on surface modification of nanoparticles with ligands that bind with extracellular targets and enhance payload delivery in the cells. In this study, we have used label-free Raman micro-spectral analysis and kinetic modeling to study cellular interactions and intracellular delivery of C6-ceramide using a non-targeted and an epidermal growth factor receptor (EGFR) targeted biodegradable polymeric nano-delivery systems, in EGFR-expressing human ovarian adenocarcinoma (SKOV3) cells. The results show that EGFR peptide-modified nanoparticles were rapidly internalized in SKOV3 cells leading to significant intracellular accumulation as compared to non-specific uptake by the non-targeted nanoparticles. Raman micro-spectral analysis enables visualization and quantification of the carrier system, drug-load, and responses of the biological systems interrogated, without exogenous staining and labeling procedures.
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Affiliation(s)
- Tatyana Chernenko
- Department of Pharmaceutical Sciences, School of Pharmacy, Bouve College of Health Sciences
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21
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Cherchi C, Miljkovic M, Diem M, Gu AZ. nTiO₂ induced changes in intracellular composition and nutrient stoichiometry in primary producer--cyanobacteria. Sci Total Environ 2015; 512-513:345-352. [PMID: 25636065 DOI: 10.1016/j.scitotenv.2015.01.037] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Revised: 12/31/2014] [Accepted: 01/15/2015] [Indexed: 06/04/2023]
Abstract
The widely and increasing use of nano-titanium dioxide (nTiO2) has led to its release in the environment and concerns of consequent impact on aquatic eco-relevant biota. Previous studies indicated possible physiological changes (i.e., nitrogen storage) induced by nano-titanium dioxide (nTiO2) exposure in algae, which will likely have ecological implications. This study investigated the short- (96 h) and long-term (21 days) ecotoxic impact of environmentally relevant nTiO2 concentrations on the cellular biochemical pools and nutrient stoichiometry in the nitrogen-fixing cyanobacteria Anabaena variabilis. Changes in nutrient element ratios and cellular composition were analyzed using both chemical elemental analysis and Fourier Transform Infrared (FT-IR) spectroscopy. Chemical elemental analysis showed that exposure to nTiO2 at varying dose concentrations and exposure duration led to statistically significant changes in intracellular C:N, C:P and N:P stoichiometries compared with those in the controls. In general, there seemed to be a decreasing trends of cellular C:N ratio and increase in the cellular C:P and N:P ratios with the increasing level of nTiO2 exposure. Further FT-IR analysis results revealed both temporal and dose-dependent change patterns of major macromolecules, including protein, lipids, nucleic acids and carbohydrates, in A. variabilis upon nTiO2 exposure. The relative ratio of amide II, lipids, nucleic acids and carbohydrates to the cellular protein content (quantified as amide I stretch) changed significantly within the initial 96 h of exposure and, both the magnitude of changes and levels of recovery seemed to be nTiO2 dose-dependent. This study, for the first time, demonstrated that the intracellular composition and nutrient stoichiometry changes could be induced by long-term and short-term exposures to nTiO2 to primary producers, which may have ecological implications for interspecies equilibriums and community dynamics in aquatic ecosystems.
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Affiliation(s)
- Carla Cherchi
- Department of Civil & Environmental Engineering, 360 Huntington Avenue, Northeastern University, Boston, MA 02115, USA
| | - Milos Miljkovic
- Department of Chemistry and Chemical Biology, 360 Huntington Avenue, Northeastern University, Boston, MA 02115, USA
| | - Max Diem
- Department of Chemistry and Chemical Biology, 360 Huntington Avenue, Northeastern University, Boston, MA 02115, USA
| | - April Z Gu
- Department of Civil & Environmental Engineering, 360 Huntington Avenue, Northeastern University, Boston, MA 02115, USA.
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22
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Mu X, Kon M, Ergin A, Remiszewski S, Akalin A, Thompson CM, Diem M. Statistical analysis of a lung cancer spectral histopathology (SHP) data set. Analyst 2015; 140:2449-64. [DOI: 10.1039/c4an01832j] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
We report results on a statistical analysis of an infrared spectral dataset comprising a total of 388 lung biopsies from 374 patients.
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Affiliation(s)
- Xinying Mu
- Department of Mathematics and Statistics and Program in Bioinformatics
- Boston University
- Boston
- USA
- Cireca Theranostics
| | - Mark Kon
- Department of Mathematics and Statistics and Program in Bioinformatics
- Boston University
- Boston
- USA
- Cireca Theranostics
| | | | | | - Ali Akalin
- Department of Pathology
- University of Massachusetts Medical School
- Worcester
- USA
| | | | - Max Diem
- Cireca Theranostics
- Cambridge
- USA
- Laboratory for Spectral Diagnosis
- Department of Chemistry and Chemical Biology
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23
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Diem M, Mazur A, Lenau K, Schubert J, Bird B, Miljković M, Krafft C, Popp J. Molecular pathology via IR and Raman spectral imaging. J Biophotonics 2013; 6:855-86. [PMID: 24311233 DOI: 10.1002/jbio.201300131] [Citation(s) in RCA: 123] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Accepted: 09/03/2013] [Indexed: 05/21/2023]
Abstract
During the last 15 years, vibrational spectroscopic methods have been developed that can be viewed as molecular pathology methods that depend on sampling the entire genome, proteome and metabolome of cells and tissues, rather than probing for the presence of selected markers. First, this review introduces the background and fundamentals of the spectroscopies underlying the new methodologies, namely infrared and Raman spectroscopy. Then, results are presented in the context of spectral histopathology of tissues for detection of metastases in lymph nodes, squamous cell carcinoma, adenocarcinomas, brain tumors and brain metastases. Results from spectral cytopathology of cells are discussed for screening of oral and cervical mucosa, and circulating tumor cells. It is concluded that infrared and Raman spectroscopy can complement histopathology and reveal information that is available in classical methods only by costly and time-consuming steps such as immunohistochemistry, polymerase chain reaction or gene arrays. Due to the inherent sensitivity toward changes in the bio-molecular composition of different cell and tissue types, vibrational spectroscopy can even provide information that is in some cases superior to that of any one of the conventional techniques.
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Affiliation(s)
- Max Diem
- Laboratory for Spectral Diagnosis LSpD, Department of Chemistry & Chemical Biology, Northeastern University, Boston, MA 02115, USA
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24
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Castro-Suarez JR, Pacheco-Londoño LC, Vélez-Reyes M, Diem M, Tague TJ, Hernandez-Rivera SP. FT-IR standoff detection of thermally excited emissions of trinitrotoluene (TNT) deposited on aluminum substrates. Appl Spectrosc 2013; 67:181-186. [PMID: 23622437 DOI: 10.1366/11-06229] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
A standoff detection system was assembled by coupling a reflecting telescope to a Fourier transform infrared spectrometer equipped with a cryo-cooled mercury cadmium telluride detector and used for detection of solid-phase samples deposited on substrates. Samples of highly energetic materials were deposited on aluminum substrates and detected at several collector-target distances by performing passive-mode, remote, infrared detection measurements on the heated analytes. Aluminum plates were used as support material, and 2,4,6-Trinitrotoluene (TNT) was used as the target. For standoff detection experiments, the samples were placed at different distances (4 to 55 m). Several target surface temperatures were investigated. Partial least squares regression analysis was applied to the analysis of the intensities of the spectra obtained. Overall, standoff detection in passive mode was useful for quantifying TNT deposited on the aluminum plates with high confidence up to target-collector distances of 55 m.
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25
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Miljković M, Bird B, Lenau K, Mazur AI, Diem M. Spectral cytopathology: new aspects of data collection, manipulation and confounding effects. Analyst 2013; 138:3975-82. [DOI: 10.1039/c3an00185g] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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26
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Pereira TM, Zezell DM, Bird B, Miljković M, Diem M. The characterization of normal thyroid tissue by micro-FTIR spectroscopy. Analyst 2013; 138:7094-100. [DOI: 10.1039/c3an00296a] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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27
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Kallenbach-Thieltges A, Großerüschkamp F, Mosig A, Diem M, Tannapfel A, Gerwert K. Immunohistochemistry, histopathology and infrared spectral histopathology of colon cancer tissue sections. J Biophotonics 2013; 6:88-100. [PMID: 23225612 DOI: 10.1002/jbio.201200132] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2012] [Revised: 10/26/2012] [Accepted: 11/12/2012] [Indexed: 06/01/2023]
Abstract
During the past years, many studies have shown that infrared spectral histopathology (SHP) can distinguish different tissue types and disease types independently of morphological criteria. In this manuscript, we report a comparison of immunohistochemical (IHC), histopathological and spectral histopathological results for colon cancer tissue sections. A supervised algorithm, based on the "random forest" methodology, was trained using classical histopathology, and used to automatically identify colon tissue types, and areas of colon adenocarcinoma. The SHP images subsequently were compared to IHC-based images. This comparison revealed excellent agreement between the methods, and demonstrated that label-free SHP detects compositional changes in tissue that are the basis of the sensitivity of IHC.
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28
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Mazur AI, Marcsisin EJ, Bird B, Miljković M, Diem M. Evaluating different fixation protocols for spectral cytopathology, part 2: cultured cells. Anal Chem 2012; 84:8265-71. [PMID: 22935013 DOI: 10.1021/ac3017407] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Spectral cytopathology (SCP) is a robust and reproducible diagnostic technique that employs infrared spectroscopy and multivariate statistical methods, such as principal component analysis to interrogate unstained cellular samples and discriminate changes on the biochemical level. In the past decade, SCP has taken considerable strides in its application for disease diagnosis. Cultured cell lines have proven to be useful model systems to provide detailed biological information to this field; however, the effects of sample fixation and storage of cultured cells are still not entirely understood in SCP. Conventional cytopathology utilizes fixation and staining methods that have been established and widely accepted for nearly a century and are focused on maintaining the morphology of a cell. Conversely, SCP practices must implement fixation protocols that preserve the sample's biochemical composition and maintain its spectral integrity so not to introduce spectral changes that may mask variance significant to disease. It is not only necessary to evaluate the effects on fixed exfoliated cells but also fixed cultured cells because although they are similar systems, they exhibit distinct differences. We report efforts to study the effects of fixation methodologies commonly used in traditional cytopathology and SCP including both fixed and unfixed routines applied to cultured HeLa cells, an adherent cervical cancer cell line. Data suggest parallel results to findings in Part 1 of this series for exfoliated cells, where the exposure time in fixative and duration of sample storage via desiccation contribute to minor spectral changes only. The results presented here reinforce observations from Part 1 indicating that changes induced by disease are much greater than changes observed as a result of alternate fixation methodologies. Principal component analysis of HeLa cells fixed via the same conditions and protocols as exfoliated cells (Part 1) yield nearly identical results. More importantly, the overall conclusion is that it is necessary that all samples subjected to comparative analysis should be prepared identically because although changes are minute, they are present.
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Affiliation(s)
- Antonella I Mazur
- Department of Chemistry & Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts, USA.
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29
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Bird B, Miljković MS, Remiszewski S, Akalin A, Kon M, Diem M. Infrared spectral histopathology (SHP): a novel diagnostic tool for the accurate classification of lung cancer. J Transl Med 2012; 92:1358-73. [PMID: 22751349 DOI: 10.1038/labinvest.2012.101] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
We report results of a study utilizing a recently developed tissue diagnostic method, based on label-free spectral techniques, for the classification of lung cancer histopathological samples from a tissue microarray. The spectral diagnostic method allows reproducible and objective diagnosis of unstained tissue sections. This is accomplished by acquiring infrared hyperspectral data sets containing thousands of spectra, each collected from tissue pixels about 6 μm on edge; these pixel spectra contain an encoded snapshot of the entire biochemical composition of the pixel area. The hyperspectral data sets are subsequently decoded by methods of multivariate analysis, which reveal changes in the biochemical composition between tissue types, and between various stages and states of disease. In this study, a detailed comparison between classical and spectral histopathology (SHP) is presented, which suggests SHP can achieve levels of diagnostic accuracy that is comparable to that of multi-panel immunohistochemistry.
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Affiliation(s)
- Benjamin Bird
- Laboratory for Spectral Diagnosis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA
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30
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Majed N, Chernenko T, Diem M, Gu AZ. Identification of functionally relevant populations in enhanced biological phosphorus removal processes based on intracellular polymers profiles and insights into the metabolic diversity and heterogeneity. Environ Sci Technol 2012; 46:5010-5017. [PMID: 22471394 DOI: 10.1021/es300044h] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
This study proposed and demonstrated the application of a new Raman microscopy-based method for metabolic state-based identification and quantification of functionally relevant populations, namely polyphosphate accumulating organisms (PAOs) and glycogen accumulating organisms (GAOs), in enhanced biological phosphorus removal (EBPR) system via simultaneous detection of multiple intracellular polymers including polyphosphate (polyP), glycogen, and polyhydroxybutyrate (PHB). The unique Raman spectrum of different combinations of intracellular polymers within a cell at a given stage of the EBPR cycle allowed for its identification as PAO, GAO, or neither. The abundance of total PAOs and GAOs determined by Raman method were consistent with those obtained with polyP staining and fluorescence in situ hybridization (FISH). Different combinations and quantities of intracellular polymer inclusions observed in single cells revealed the distribution of different sub-PAOs groups among the total PAO populations, which exhibit phenotypic and metabolic heterogeneity and diversity. These results also provided evidence for the hypothesis that different PAOs may employ different extents of combination of glycolysis and TCA cycle pathways for anaerobic reducing power and energy generation and it is possible that some PAOs may rely on TCA cycle solely without glycolysis. Sum of cellular level quantification of the internal polymers associated with different population groups showed differentiated and distributed trends of glycogen and PHB level between PAOs and GAOs, which could not be elucidated before with conventional bulk measurements of EBPR mixed cultures.
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Affiliation(s)
- Nehreen Majed
- Department of Civil & Environmental Engineering, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts 02115, USA
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31
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Chernenko T, Sawant RR, Miljkovic M, Quintero L, Diem M, Torchilin V. Raman microscopy for noninvasive imaging of pharmaceutical nanocarriers: intracellular distribution of cationic liposomes of different composition. Mol Pharm 2012; 9:930-6. [PMID: 22376068 DOI: 10.1021/mp200519y] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Nanotechnology is playing an increasing role in targeted drug delivery into pathological tissues. Drug-loaded pharmaceutical nanocarriers can be delivered into diseased sites by passive targeting (spontaneous accumulation of nanocarriers in the areas with affected vasculature) or by active targeting (via site-specific ligands attached to the surface of drug-loaded nanocarriers). Subsequent level of targeting requires cellular internalization of nanocarriers and their specific association with certain individual cell organelles. The control over intracellular distribution of pharmaceutical nanocarriers requires effective and noninvasive methods of their visualization inside cells. In an attempt to enhance cellular internalization of pharmaceutical nanocarriers and their association with mitochondria specifically, we have prepared three types of cationic liposomes and investigated their intracellular distribution. The analysis was performed using Raman microspectroscopy in order to provide morphological information as well as biochemical signatures of the sample. It was demonstrated that Raman microscopy allows evaluation of the extent of mitochondrial association depending on the liposome composition.
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Affiliation(s)
- T Chernenko
- Center for Pharmaceutical Biotechnology and Nanomedicine, Pharmaceutical Department, Northeastern University, Boston, Massachusetts 02115, USA.
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32
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Abstract
Spectral cytopathology (SCP) is a novel approach for disease diagnosis that utilizes infrared spectroscopy to interrogate the biochemical components of cellular samples and multivariate statistical methods, such as principal component analysis, to analyze and diagnose spectra. SCP has taken vast strides in its application for disease diagnosis over the past decade; however, fixation-induced changes and sample handling methods are still not systematically understood. Conversely, fixation and staining methods in conventional cytopathology, typically involving protocols to maintain the morphology of cells, have been documented and widely accepted for nearly a century. For SCP, fixation procedures must preserve the biochemical composition of samples so that spectral changes significant to disease diagnosis are not masked. We report efforts to study the effects of fixation protocols commonly used in traditional cytopathology and SCP, including fixed and unfixed methods applied to exfoliated oral (buccal) mucosa cells. Data suggest that the length of time in fixative and duration of sample storage via desiccation contribute to minor spectral changes where spectra are nearly superimposable. These findings illustrate that changes influenced by fixation are negligible in comparison to changes induced by disease.
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Affiliation(s)
- Antonella I Mazur
- Department of Chemistry & Chemical Biology, Northeastern University, 360 Huntington Avenue, Boston, Massachusetts, USA.
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33
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(Swain) Marcsisin EJ, Uttero CM, Mazur AI, Miljković M, Bird B, Diem M. Noise Adjusted Principal Component reconstruction to optimize infrared microspectroscopy of individual live cells. Analyst 2012; 137:2958-64. [DOI: 10.1039/c2an15868j] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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34
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35
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Cherchi C, Chernenko T, Diem M, Gu AZ. Impact of nano titanium dioxide exposure on cellular structure of Anabaena variabilis and evidence of internalization. Environ Toxicol Chem 2011; 30:861-869. [PMID: 21184530 DOI: 10.1002/etc.445] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2010] [Revised: 09/06/2010] [Accepted: 10/05/2010] [Indexed: 05/29/2023]
Abstract
The present study investigated the impact of nano titanium dioxide (nTiO(2) ) exposure on the cellular structures of the nitrogen-fixing cyanobacteria Anabaena variabilis. Results of the present study showed that nTiO(2) exposure led to observable alteration in various intracellular structures and induced a series of recognized stress responses, including production of reactive oxygen species (ROS), appearance and increase in the abundance of membrane crystalline inclusions, membrane mucilage layer formation, opening of intrathylakoidal spaces, and internal plasma membrane disruption. The production of total ROS in A. variabilis cells increased with increasing nTiO(2) doses and exposure time, and the intracellular ROS contributed to only a small fraction (<10%) of the total ROS measured. The percentage of cells with loss of thylakoids and growth of membrane crystalline inclusions increased as the nTiO(2) dose and exposure time increased compared with controls, suggesting their possible roles in stress response to nTiO(2) , as previously shown for metals. Algal cell surface morphology and mechanical properties were modified by nTiO(2) exposure, as indicated by the increase in cell surface roughness and shifts in cell spring constant determined by atomic force microscopy analysis. The change in cell surface structure and increase in the cellular turgor pressure likely resulted from the structural membrane damage mediated by the ROS production. Transmission electron microscopy (TEM) analysis of nTiO(2) aggregates size distribution seems to suggest possible disaggregation of nTiO(2) aggregates when in close contact with microbial cells, potentially as a result of biomolecules such as DNA excreted by organisms that may serve as a biodispersant. The present study also showed, for the first time, with both TEM and Raman imaging that internalization of nTiO(2) particles through multilayered membranes in algal cells is possible. Environ. Toxicol. Chem. 2011; 30:861-869. © 2010 SETAC.
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Affiliation(s)
- Carla Cherchi
- Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts, USA
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Bird B, Miljković M, Laver N, Diem M. Spectral Detection of Micro-Metastases and Individual Metastatic Cells in Lymph Node Histology. Technol Cancer Res Treat 2011; 10:135-44. [DOI: 10.7785/tcrt.2012.500188] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The detection of micro-metastases and individual metastatic cells in lymph node tissue by spectral methods is summarized. These methods are based on instrument-based acquisition of thousands of infrared spectra of individual tissue pixels from the tissue section, and analysis of the resulting spectral hypercube by multivariate algorithms. The method of infrared image acquisition, followed by multivariate analysis, is henceforth referred to as Spectral Histopathology (SHP). SHP produces pseudo-color images of tissue sections which reveal details that compare very favorably with images collected from hematoxylin/eosin (H & E) stained tissues in that the same tissue structures are detected. However, the infrared results are based on objective and reproducible measurements and do not depend on subjective interpretation. One of the major topics of this paper is the comparison of spectral patterns observed for the same cancer type from different patients. While this is easy in some tissue types, we found it to be difficult in tissues of very different cellularity, or tissue sections that exhibit high levels of inflammatory response. In both cases, spectral quality will be compromised due to confounding effects resulting from scattering effects. The correction of these effects now permits the direct comparison of different patient samples, and paves the way for diagnostic algorithms for cancer detection to be developed.
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Affiliation(s)
- B. Bird
- Laboratory for Spectral Diagnosis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115 USA
| | - M. Miljković
- Laboratory for Spectral Diagnosis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115 USA
| | - N. Laver
- Department of Pathology, Tufts Medical Center, Boston, MA 02111 USA
| | - M. Diem
- Laboratory for Spectral Diagnosis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115 USA
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Whelan DR, Bambery KR, Heraud P, Tobin MJ, Diem M, McNaughton D, Wood BR. Monitoring the reversible B to A-like transition of DNA in eukaryotic cells using Fourier transform infrared spectroscopy. Nucleic Acids Res 2011; 39:5439-48. [PMID: 21447564 PMCID: PMC3141270 DOI: 10.1093/nar/gkr175] [Citation(s) in RCA: 138] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
The ability to detect DNA conformation in eukaryotic cells is of paramount importance in understanding how some cells retain functionality in response to environmental stress. It is anticipated that the B to A transition might play a role in resistance to DNA damage such as heat, desiccation and toxic damage. To this end, conformational detail about the molecular structure of DNA has been derived primarily from in vitro experiments on extracted or synthetic DNA. Here, we report that a B- to A-like DNA conformational change can occur in the nuclei of intact cells in response to dehydration. This transition is reversible upon rehydration in air-dried cells. By systematically monitoring the dehydration and rehydration of single and double-stranded DNA, RNA, extracted nuclei and three types of eukaryotic cells including chicken erythrocytes, mammalian lymphocytes and cancerous rodent fibroblasts using Fourier transform infrared (FTIR) spectroscopy, we unequivocally assign the important DNA conformation marker bands within these cells. We also demonstrate that by applying FTIR spectroscopy to hydrated samples, the DNA bands become sharper and more intense. This is anticipated to provide a methodology enabling differentiation of cancerous from non-cancerous cells based on the increased DNA content inherent to dysplastic and neoplastic tissue.
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Affiliation(s)
- Donna R Whelan
- Center for Biospectroscopy and School of Chemistry, Monash Immunology and Stem Cell Laboratories, Monash University, Clayton, Victoria, 3800 Australian Synchrotron, 800 Blackburn Road, Clayton, Victoria 3168, Australia
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Suhalim JL, Lin CY, Nien C, Miljkovic MD, Diem M, Jester JV, Potma EO. Picosecond Spectral Cars Imaging with Principal Component Analysis. Biophys J 2011. [DOI: 10.1016/j.bpj.2010.12.2133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Lin CY, Suhalim JL, Nien CL, Miljković MD, Diem M, Jester JV, Potma EO. Picosecond spectral coherent anti-Stokes Raman scattering imaging with principal component analysis of meibomian glands. J Biomed Opt 2011; 16:021104. [PMID: 21361667 PMCID: PMC3048879 DOI: 10.1117/1.3533716] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2010] [Revised: 08/19/2010] [Accepted: 08/23/2010] [Indexed: 05/22/2023]
Abstract
The lipid distribution in the mouse meibomian gland was examined with picosecond spectral anti-Stokes Raman scattering (CARS) imaging. Spectral CARS data sets were generated by imaging specific localized regions of the gland within tissue sections at consecutive Raman shifts in the CH(2) stretching vibrational range. Spectral differences between the location specific CARS spectra obtained in the lipid-rich regions of the acinus and the central duct were observed, which were confirmed with a Raman microspectroscopic analysis, and attributed to meibum lipid modifications within the gland. A principal component analysis of the spectral data set reveals changes in the CARS spectrum when transitioning from the acini to the central duct. These results demonstrate the utility of picosecond spectral CARS imaging combined with multivariate analysis for assessing differences in the distribution and composition of lipids in tissues.
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Affiliation(s)
- Chia-Yu Lin
- University of California, Irvine, Department of Chemistry and Beckman Laser Institute, Irvine, California 92697, USA
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Abstract
Confocal Raman micro-spectral imaging (CRMI) is a relatively novel technique for the construction of label-free images of biological entities, such as cells or tissue sections. This method utilizes thousands of spatially resolved Raman spectra, and sophisticated image analysis algorithms, to construct images which are based strictly on the inherent biochemical abundance contrast afforded by Raman microscopy. Here, we apply this methodology to monitor the very early communication processes that occur in a growing stem cell colony, yielding information on biochemical composition during development processes of the early stages of embryogenesis.
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Affiliation(s)
- Evgenia Zuser
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, USA
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Mariani MM, Maccoux LJ, Matthäus C, Diem M, Hengstler JG, Deckert V. Micro-Raman detection of nuclear membrane lipid fluctuations in senescent epithelial breast cancer cells. Anal Chem 2010; 82:4259-63. [PMID: 20380478 DOI: 10.1021/ac1006987] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Originally identified in cultured cells, oncogenic cellular senescence is a growth-arrest mechanism which may inhibit tumor development by limiting the ability of cells to divide. However, literature shows that these cells secrete tumor-inducing and tumor-suppressing proteins leading to poor prognosis. Understanding the progression of oncogenic cellular senescence and associated mechanisms provides important implications for improving tumorigenesis therapeutic treatments. Micro-Raman spectroscopic imaging has grown in popularity as an imaging technique compared to the standard imaging predecessors and can be attributed to its numerous benefits such as no sample perturbation and the provision of direct chemical information. Through the use of label-free micro-Raman spectroscopy, control and senescent cells were noninvasively imaged. Resulting spectral images were processed using chemometric techniques, and average nuclei spectra from each sample set were compared. In turn, changes in the -cis and -trans unsaturated lipid isomer content were found to differ among proliferating and senescent cells. This may lead to increased nuclear fluidity and may contribute to the inability of senescent cells to complete the cell cycle. In the tumor environment, this detected increase in nuclear envelope fluidity could lead to downstream gene expression modifications and increased nucleo-cytoplasmic RNA translocation. Understanding nuclear envelope fluidity could provide insight into secretory profiles of senescent cells and their role in carcinogenesis, meriting further investigation into novel therapeutic technique development for oncogenic cellular senescence.
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Affiliation(s)
- Melissa M Mariani
- ISAS-Institute for Analytical Sciences, Bunsen-Kirchhoff-Strasse 11, 44139-Dortmund, Germany
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Abstract
In this paper we describe the advantages of collecting infrared microspectral data in imaging mode opposed to point mode. Imaging data are processed using the PapMap algorithm, which co-adds pixel spectra that have been scrutinized for R-Mie scattering effects as well as other constraints. The signal-to-noise quality of PapMap spectra will be compared to point spectra for oral mucosa cells deposited onto low-e slides. Also the effects of software atmospheric correction will be discussed. Combined with the PapMap algorithm, data collection in imaging mode proves to be a superior method for spectral cytopathology.
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Affiliation(s)
- Jennifer M. Schubert
- Northeastern University, Department of Chemistry and Chemical Biology, 360 Huntington Avenue, Boston, MA 02115 USA
| | - Antonella I. Mazur
- Northeastern University, Department of Chemistry and Chemical Biology, 360 Huntington Avenue, Boston, MA 02115 USA
| | - Benjamin Bird
- Northeastern University, Department of Chemistry and Chemical Biology, 360 Huntington Avenue, Boston, MA 02115 USA
| | - Miloš Miljković
- Northeastern University, Department of Chemistry and Chemical Biology, 360 Huntington Avenue, Boston, MA 02115 USA
| | - Max Diem
- Northeastern University, Department of Chemistry and Chemical Biology, 360 Huntington Avenue, Boston, MA 02115 USA
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Naumann D, Diem M. Modern biophotonic trends in microbiological and medical diagnostics. J Biophotonics 2010; 3:492. [PMID: 20661870 DOI: 10.1002/jbio.201000519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
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Abstract
In this manuscript, we report the application of EMSC to correct infrared micro-spectral data recorded from tissue that describe resonant Mie scattering contributions. Small breast micro-metastases previously undetectable using the raw measured spectra were provided clear contrast from the surrounding tissue after signal correction. The technique also proved transferrable, successfully correcting imaging data sets recorded from multiple patients. It is envisaged more robust methods of supervised analysis can now be constructed to automatically classify and diagnose tissue spectra.
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Affiliation(s)
- Benjamin Bird
- Chemical Biology Department, Northeastern University, Boston, MA 02115, USA.
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Schubert JM, Bird B, Papamarkakis K, Miljković M, Bedrossian K, Laver N, Diem M. Spectral cytopathology of cervical samples: detecting cellular abnormalities in cytologically normal cells. J Transl Med 2010; 90:1068-77. [PMID: 20368702 PMCID: PMC2894285 DOI: 10.1038/labinvest.2010.72] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Spectral cytopathology (SCP) is a novel spectroscopic method for objective and unsupervised classification of individual exfoliated cells. The limitations of conventional cytopathology are well recognized within the pathology community. In SCP, cellular differentiation is made by observing molecular changes in the nucleus and the cytoplasm, which may or may not produce morphological changes detectable by conventional cytopathology. This proof of concept study shows SCP's potential as an enhancing tool for cytopathologists by aiding in the accurate and reproducible diagnosis of cells in all states of disease. Infrared spectra are collected from cervical cells deposited onto reflectively coated glass slides. Each cell has a corresponding infrared spectrum that describes its unique biochemical composition. Spectral data are processed and analyzed by an unsupervised chemometric algorithm, principal component analysis. In this blind study, cervical samples are classified by analyzing the spectra of morphologically normal looking squamous cells from normal samples and samples diagnosed by conventional cytopathology with low-grade squamous intraepithelial lesions. SCP discriminated cytopathological diagnoses amongst 12 different cervical samples with a high degree of specificity and sensitivity. SCP also correlated two samples with abnormal spectral changes: these samples had a normal cytopathological diagnosis but had a history of abnormal cervical cytology. The spectral changes observed in the morphologically normal looking cells are most likely because of an infection with human papillomavirus (HPV). HPV DNA testing was conducted on five additional samples, and SCP accurately differentiated these samples by their HPV status. SCP tracks biochemical variations in cells that are consistent with the onset of disease. HPV has been implicated as the cause of these changes detected spectroscopically. SCP does not depend on identifying the sparse number of morphologically abnormal cells within a large sample to make an accurate classification, as does conventional cytopathology. These findings suggest that the detection of cellular biochemical variations by SCP can serve as a new enhancing screening method that can identify earlier stages of disease.
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Affiliation(s)
- Jennifer M Schubert
- Laboratory for Spectral Diagnosis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA.
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Miljković M, Chernenko T, Romeo MJ, Bird B, Matthäus C, Diem M. Label-free imaging of human cells: algorithms for image reconstruction of Raman hyperspectral datasets. Analyst 2010; 135:2002-13. [DOI: 10.1039/c0an00042f] [Citation(s) in RCA: 146] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Chernenko T, Matthäus C, Milane L, Quintero L, Amiji M, Diem M. Label-free Raman spectral imaging of intracellular delivery and degradation of polymeric nanoparticle systems. ACS Nano 2009; 3:3552-9. [PMID: 19863088 DOI: 10.1021/nn9010973] [Citation(s) in RCA: 82] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
Novel optical imaging methods, such as Raman microspectroscopy, have been gaining recognition in their ability to obtain noninvasively the distribution of biochemical components of a sample. Raman spectroscopy in combination with optical microscopy provides a label-free method to assess and image cellular processes, without the use of extrinsic fluorescent dyes. The submicrometer resolution of the confocal Raman instrumentation allows us to image cellular organelles on the scale of conventional microscopy. We used the technique to monitor subcellular degradation patterns of two biodegradable nanocarrier systems-poly(epsilon-caprolactone) (PCL) and poly(lactic-co-glycolic acid) (PLGA). Our results suggest that both drug-delivery systems eventually are incorporated into Golgi-associated vesicles of late endosomes. These processes were monitored via the decrease of the molecule-characteristic peaks of PCL and PLGA. As the catabolic pathways proceed, shifts and variations in peak intensities and intensity ratios in the rendered Raman spectra unequivocally delineate their degradation patterns.
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Affiliation(s)
- Tatyana Chernenko
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, USA.
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Diem M, Papamarkakis K, Schubert J, Bird B, Romeo MJ, Miljković M. The infrared spectral signatures of disease: extracting the distinguishing spectral features between normal and diseased states. Appl Spectrosc 2009; 63:307A-318A. [PMID: 19891826 DOI: 10.1366/000370209789806894] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Affiliation(s)
- Max Diem
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA
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Majed N, Matthäus C, Diem M, Gu AZ. Evaluation of intracellular polyphosphate dynamics in enhanced biological phosphorus removal process using Raman microscopy. Environ Sci Technol 2009; 43:5436-5442. [PMID: 19708378 DOI: 10.1021/es900251n] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
A Raman microscopy method was developed and successfully applied to evaluate the dynamics of intracellular polyphosphate in polyphosphate-accumulating organisms (PAOs) in enhanced biological phosphorus removal (EBPR) processes. Distinctive Raman spectra of polyphosphates allowed for both identification of PAOs and quantification of intracellular polyphosphate during various metabolic phases in a lab-scale EBPR process. Observation of polyphosphate at individual cell level indicated thatthere are distributed states of cells in terms of polyphosphate content at any given time, suggesting that agent-based distributive modeling would more accurately reflect the behavior of an EBPR process than the traditional average-state based modeling. The results, for the first time, showed that the polyphosphate depletion or replenishment observed at the overall population level were collective results from shifts/transition in the distribution of abundance of PAOs with different amounts of polyphosphate inclusions during EBPR. Imaging construction based on simultaneous quantification of intracellular polyphosphate and protein revealed the spatial distribution of polyphosphate inside cells and showed that the polyphosphates accumulate in smaller or larger aggregates, rather than being evenly distributed within the cytoplasm. The results demonstated that Raman microscopy will allow for detailed cellular-level evaluation of polyphosphate metabolism and dynamics in EBPR processes and revealed mechanism insights, which otherwise would not be obtained using a traditional bulk measurement-based approach.
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Affiliation(s)
- Nehreen Majed
- Department of Civil and Environmental Engineering, 360 Huntington Avenue, Northeastern University, Boston, Massachusetts 02115, USA
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