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Siddique MA, Akhtar M, Majid MA, Khera EA, Ahmad M, Gilanie G, Hatamleh WA, Junaid MB, Dad MU, Ullah H. A Multi-Modal Approach for Exploring Sarcoma and Carcinoma Using FTIR and Polarimetric Analysis. Microsc Res Tech 2025. [PMID: 40123159 DOI: 10.1002/jemt.24853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2024] [Revised: 02/04/2025] [Accepted: 03/08/2025] [Indexed: 03/25/2025]
Abstract
Ex vivo characterization of sarcoma and carcinoma tissue samples was evaluated using microscopy, optical polarimetry, Fourier transform infrared (FTIR) spectroscopy, and support vector machines (SVM). Recent evidence suggests that it is crucial to explore new diagnostic methods for detecting the smallest features of cancer. In this paper, we discuss the FTIR, which characterizes the chemical composition of sarcoma and carcinoma tissues at different wavenumbers. The FTIR spectra of sarcoma tissues exhibited significant differences in chemical composition (OH, CH, and NH) compared to carcinoma tissues (NH, CO and CH), particularly in the spectral range from 400 to 4000 cm-1. Mueller matrix polarimetry (MMP) combined with polar decomposition was used to compare 13 polarimetric parameters in ex vivo sarcoma and carcinoma tissues across the visible spectrum (400-800 nm), revealing significantly higher values for all metrics in sarcoma samples. Microscopic analysis revealed distinctive morphological changes associated with sarcoma and carcinoma, contributing to these variations. All polarimetric features explored using SVM demonstrated promise for computer-assisted classification of the two tissue types. SVM successfully achieved an overall 90% accuracy, sensitivity, and specificity. These results suggest that the combination of optical polarimetry and FTIR, along with SVM, holds significant potential for automated pathology classification of sarcoma and carcinoma.
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Affiliation(s)
- Muhammad Abubakar Siddique
- Biophotonics Imaging Techniques Laboratory, Institute of Physics, the Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Munir Akhtar
- Biophotonics Imaging Techniques Laboratory, Institute of Physics, the Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Muhammad Abdul Majid
- Biophotonics Imaging Techniques Laboratory, Institute of Physics, the Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Ejaz Ahmad Khera
- Department of Physics, Bahawalnager Campus, the Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Manzoor Ahmad
- Department of Physics, Faculty of Sciences, International Islamic University, Islamabad, Pakistan
| | - Ghulam Gilanie
- Department of Artificial Intelligence, Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Wesam Atef Hatamleh
- Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Bilawal Junaid
- Department of Plant Production, College of Food and Agriculture, King Saud University, Riyadh, Saudi Arabia
| | - Muhammad Umar Dad
- School of Physics and Electronic Science, East China Normal University, Shanghai, China
| | - Hafeez Ullah
- Biophotonics Imaging Techniques Laboratory, Institute of Physics, the Islamia University of Bahawalpur, Bahawalpur, Pakistan
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2
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Gros R, Rodriguez-Nunez O, Felger L, Moriconi S, McKinley R, Pierangelo A, Novikova T, Vassella E, Schucht P, Hewer E, Maragkou T. Characterization of Polarimetric Properties in Various Brain Tumor Types Using Wide-Field Imaging Mueller Polarimetry. IEEE TRANSACTIONS ON MEDICAL IMAGING 2024; 43:4120-4132. [PMID: 38865222 DOI: 10.1109/tmi.2024.3413288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
Neuro-oncological surgery is the primary brain cancer treatment, yet it faces challenges with gliomas due to their invasiveness and the need to preserve neurological function. Hence, radical resection is often unfeasible, highlighting the importance of precise tumor margin delineation to prevent neurological deficits and improve prognosis. Imaging Mueller polarimetry, an effective modality in various organ tissues, seems a promising approach for tumor delineation in neurosurgery. To further assess its use, we characterized the polarimetric properties by analysing 45 polarimetric measurements of 27 fresh brain tumor samples, including different tumor types with a strong focus on gliomas. Our study integrates a wide-field imaging Mueller polarimetric system and a novel neuropathology protocol, correlating polarimetric and histological data for accurate tissue identification. An image processing pipeline facilitated the alignment and overlay of polarimetric images and histological masks. Variations in depolarization values were observed for grey and white matter of brain tumor tissue, while differences in linear retardance were seen only within white matter of brain tumor tissue. Notably, we identified pronounced optical axis azimuth randomization within tumor regions. This study lays the foundation for machine learning-based brain tumor segmentation algorithms using polarimetric data, facilitating intraoperative diagnosis and decision making.
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Ushenko A, Pavlyukovich N, Khukhlina O, Pavlyukovich O, Soltys I, Dubolazov A, Ushenko Y, Gordey I, Zheng J, Chen Z, Bin L. Blood Plasma Film Multifractal Scanning in COVID-19 Consequences Diagnostics. JOURNAL OF BIOPHOTONICS 2024; 17:e202400356. [PMID: 39327668 DOI: 10.1002/jbio.202400356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 09/05/2024] [Accepted: 09/06/2024] [Indexed: 09/28/2024]
Abstract
A 3D phase scanning method was applied to study blood plasma facies, generating layered polarization maps of the object field. The most sensitive parameters to changes in birefringence distribution were identified. Multifractal analysis using wavelet transforms and fractal dimension spectra provided specific insights into the scale self-similarity of the polarization maps. The multifractal spectra of ellipticity distributions were algorithmically derived, revealing that the third- and fourth-order statistical moments were most sensitive to changes in the supramolecular networks of the facies. These findings were successfully applied to differentiate post-COVID-19 effects with high accuracy.
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Affiliation(s)
- Alexander Ushenko
- Electro-Optical & Information Center, Taizhou Institute of Zhejiang University, Taizhou, China
- Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Natalia Pavlyukovich
- Department of Internal Medicine, Clinical Pharmacology and Occupational Diseases, Bukovinian State Medical University, Chernivtsi, Ukraine
| | - Oksana Khukhlina
- Department of Internal Medicine, Clinical Pharmacology and Occupational Diseases, Bukovinian State Medical University, Chernivtsi, Ukraine
| | - Olexander Pavlyukovich
- Department of Forensic Medicine and Medical Law, Bukovinian State Medical University, Chernivtsi, Ukraine
| | - Iryna Soltys
- Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Alexander Dubolazov
- Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Yurii Ushenko
- Department of Physics, Shaoxing University, Shaoxing, Zhejiang, China
- Computer Science Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Ivan Gordey
- Computer Science Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Jun Zheng
- Electro-Optical & Information Center, Taizhou Institute of Zhejiang University, Taizhou, China
| | - Zhebo Chen
- Electro-Optical & Information Center, Taizhou Institute of Zhejiang University, Taizhou, China
| | - Lin Bin
- School of Optoelectronics, Zhejiang University, Hangzhou, China
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4
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Ushenko A, Zheng J, Litvinenko A, Gorsky M, Wanchuliak O, Dubolazov A, Ushenko Y, Soltys I, Salega O, Chen Z. 3D digital polarization-holographic wavelet histology in determining the duration of mechanical damage to the myocardium. JOURNAL OF BIOPHOTONICS 2024; 17:e202300372. [PMID: 37915304 DOI: 10.1002/jbio.202300372] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/05/2023] [Accepted: 10/28/2023] [Indexed: 11/03/2023]
Abstract
We aimed developing and experimentally validating methods for 3D scale-selective polarimetry of multiply scattered fields in diffuse myocardium layers for mechanical myocardial injury prescription histological differential diagnostics. We used the synthesis of diffuse object field polarization-interference registration and polarization-inhomogeneous field digital holographic reconstruction and layer-by-layer complex amplitudes distributions The method for selection single and diffuse object field multiply scattered components polarization maps is proposed. The conditions for eliminating the distorting influence of a depolarized background high level are found. On the basis of еру object field single scattered component polarization maps a large-scale selective wavelet analysis the criteria (markers) for mechanical myocardial injury different prescription diagnosis was determinate. Excellent accuracy mechanical injury myocardium necrotic changes with different duration using polarization-interference wavelet differentiation were achieved.
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Affiliation(s)
- Alexander Ushenko
- Taizhou Institute of Zhejiang University, Taizhou, China
- Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Jun Zheng
- Taizhou Institute of Zhejiang University, Taizhou, China
| | - Alexandra Litvinenko
- Forensic Medicine and Medical Law Department, Bucovinian State Medical University, Chernivtsi, Ukraine
| | - Mykhaylo Gorsky
- Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Oleh Wanchuliak
- Forensic Medicine and Medical Law Department, Bucovinian State Medical University, Chernivtsi, Ukraine
| | - Alexander Dubolazov
- Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Yuriy Ushenko
- Computer Science Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Iryna Soltys
- Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Olexander Salega
- Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine
| | - Zhebo Chen
- Taizhou Institute of Zhejiang University, Taizhou, China
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5
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Zaffar M. Fluorescence scattering in between excitation and emission as a depolarizing process: a Mueller matrix viewpoint. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA. A, OPTICS, IMAGE SCIENCE, AND VISION 2022; 39:1179-1186. [PMID: 36215603 DOI: 10.1364/josaa.455593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 05/17/2022] [Indexed: 06/16/2023]
Abstract
A rigorous model has been proposed to qualify fluorescence scattering through the Mueller matrix viewpoint in terms of absorption/excitation, emission, and the process in between them. The process in between the excitation and emission processes of fluorescence, irrespective of the scattering directions, has been modeled as a depolarization process. The absorption/excitation of the fluorophore molecules gets revealed through the first-row elements while the emission of fluorescence has been observed through the first column elements of the fluorescence Mueller matrix. Information of the transitions between the molecular ground and excited states gets encoded into the diagonal elements following the photon selection rule. The other off-diagonal elements of the fluorescence Mueller matrix also exhibit very small nonzero values due to the anisotropic absorption and phase changes that the ground state of the fluorophore molecules imposes on the incident polarized beam while parallelly governing the emitted beam. The comparison of the current model with the earlier model has been discussed in a detailed way. The modeling of the in-between process as the depolarizing one enables us to qualify the fluorescence detected linear and circular dichroism and luminescence and very effectively overcomes the shortcomings in the earlier model.
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He C, He H, Chang J, Chen B, Ma H, Booth MJ. Polarisation optics for biomedical and clinical applications: a review. LIGHT, SCIENCE & APPLICATIONS 2021; 10:194. [PMID: 34552045 PMCID: PMC8458371 DOI: 10.1038/s41377-021-00639-x] [Citation(s) in RCA: 136] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 08/30/2021] [Accepted: 09/01/2021] [Indexed: 05/13/2023]
Abstract
Many polarisation techniques have been harnessed for decades in biological and clinical research, each based upon measurement of the vectorial properties of light or the vectorial transformations imposed on light by objects. Various advanced vector measurement/sensing techniques, physical interpretation methods, and approaches to analyse biomedically relevant information have been developed and harnessed. In this review, we focus mainly on summarising methodologies and applications related to tissue polarimetry, with an emphasis on the adoption of the Stokes-Mueller formalism. Several recent breakthroughs, development trends, and potential multimodal uses in conjunction with other techniques are also presented. The primary goal of the review is to give the reader a general overview in the use of vectorial information that can be obtained by polarisation optics for applications in biomedical and clinical research.
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Affiliation(s)
- Chao He
- Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK.
| | - Honghui He
- Guangdong Engineering Center of Polarisation Imaging and Sensing Technology, Tsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China.
| | - Jintao Chang
- Guangdong Engineering Center of Polarisation Imaging and Sensing Technology, Tsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China
- Department of Physics, Tsinghua University, 100084, Beijing, China
| | - Binguo Chen
- Guangdong Engineering Center of Polarisation Imaging and Sensing Technology, Tsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China
- Department of Biomedical Engineering, Tsinghua University, 100084, Beijing, China
| | - Hui Ma
- Guangdong Engineering Center of Polarisation Imaging and Sensing Technology, Tsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, 518055, Shenzhen, China
- Department of Physics, Tsinghua University, 100084, Beijing, China
| | - Martin J Booth
- Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK.
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Peyvasteh M, Popov A, Bykov A, Pierangelo A, Novikova T, Meglinski I. Evolution of raw meat polarization-based properties by means of Mueller matrix imaging. JOURNAL OF BIOPHOTONICS 2021; 14:e202000376. [PMID: 33220020 DOI: 10.1002/jbio.202000376] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/03/2020] [Accepted: 11/18/2020] [Indexed: 05/06/2023]
Abstract
The possibilities of using Mueller matrix (MM) imaging polarimetry to assess meat quality have not yet been sufficiently explored. In the current study, the fresh porcine muscles are imaged at room temperature with a wide-field MM imaging polarimeter over 26 hours to visualize dynamics of tissue optical properties through applying Lu-Chipman decomposition. The frequency distribution histograms (FDHs) and statistical analysis of the MM elements show prominent changes over time. The wavelength spectra of both total depolarization and scalar retardance have dips at 550 nm whereas their values continuously increase with time; the former is referred to the increase of number of scattering events and decrease of myoglobin absorption in the red part of visible spectra related to meat color and freshness, while the latter is associated with the increase in birefringence and meat tenderness. The obtained results are promising to develop a novel fast noncontact optical technique for monitoring of meat quality.
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Affiliation(s)
- Motahareh Peyvasteh
- Opto-Electronic and Measurement Techniques research unit, University of Oulu, Oulu, Finland
| | - Alexey Popov
- VTT Technical Research Centre of Finland, Oulu, Finland
| | - Alexander Bykov
- Opto-Electronic and Measurement Techniques research unit, University of Oulu, Oulu, Finland
| | - Angelo Pierangelo
- Laboratory of Physics of Interfaces and Thin Films, École Polytechnique, Palaiseau, France
| | - Tatiana Novikova
- Laboratory of Physics of Interfaces and Thin Films, École Polytechnique, Palaiseau, France
| | - Igor Meglinski
- Opto-Electronic and Measurement Techniques research unit, University of Oulu, Oulu, Finland
- Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University "MEPhI", Moscow, Russia
- Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, Tomsk, Russia
- Department of Histology, Cytology and Embryology, Institute of Clinical Medicine N.V. Sklifosovsky, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
- Department of Mechanical, Biomedical and Design, College of Engineering and Physical Sciences, Aston University, Birmingham, UK
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8
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Embossed topographic depolarisation maps of biological tissues with different morphological structures. Sci Rep 2021; 11:3871. [PMID: 33594107 PMCID: PMC7886906 DOI: 10.1038/s41598-021-83017-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 01/07/2021] [Indexed: 11/09/2022] Open
Abstract
Layered topographic maps of the depolarisation due to diffuse biological tissues are produced using a polarisation-holographic Mueller matrix method approach. Histological sections of myocardial tissue with a spatially structured optically anisotropic fibrillar network, and parenchymal liver tissue with a polycrystalline island structure are successfully mapped. The topography of the myocardium maps relates to the scattering multiplicity within the volume and the specific morphological structures of the biological crystallite networks. The overall depolarisation map is a convolution of the effects of these two factors. Parenchymal liver tissues behave broadly similarly, but the different biological structures present cause the degree of scattering multiplicity to increase more rapidly with increasing phase. Through statistical analysis, the dependences of the magnitudes of the first to fourth order statistical moments are determined. These moments characterise the changing distributions of the depolarisation values through the volume of biological tissues with different morphological structures. Parenchymal liver tissue depolarisation maps are characterised by larger mean and variance, and less skewness and kurtosis, compared to the distributions for the myocardium. This work demonstrates that a polarisation-holographic Mueller matrix method can be applied to the assessment of the 3D morphology of biological tissues, with applications in disease diagnosis.
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9
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Trifonyuk L, Sdobnov A, Baranowski W, Ushenko V, Olar O, Dubolazov A, Pidkamin L, Sidor M, Vanchuliak O, Motrich A, Gorsky M, Meglinski I. Differential Mueller matrix imaging of partially depolarizing optically anisotropic biological tissues. Lasers Med Sci 2019; 35:877-891. [PMID: 31749042 PMCID: PMC7260284 DOI: 10.1007/s10103-019-02878-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 09/06/2019] [Indexed: 11/26/2022]
Abstract
Since recently, a number of innovative polarization-based optical imaging modalities have been introduced and extensively used in various biomedical applications, with an ultimate aim to attain the practical tool for the optical biopsy and functional characterization of biological tissues. The techniques utilize polarization properties of light and Mueller matrix mapping of microscopic images of histological sections of biological tissues or polycrystalline films of biological fluids. The main drawback of currently developed laser polarimetry approaches and Mueller matrix mapping techniques is poor reproducibility of experimental data. This is due to azimuthal dependence of polarization and ellipticity values of most matrix elements to sample orientation in respect to incidence light polarization. Current study aims to generalize the methods of laser polarimetry for diagnosis of partially depolarizing optically anisotropic biological tissues. A method of differential Mueller matrix mapping for reconstruction of linear and circular birefringence and dichroism parameter distributions of partially depolarizing layers of biological tissues of different morphological structure is introduced and practically implemented. The coordinate distributions of the value of the first-order differential matrix elements of histological sections of brain tissue with spatially structured, optically anisotropic fibrillar network, as well as of parenchymatous tissue of the rectum wall with an “islet” polycrystalline structure are determined. Within the statistical analysis of polarization reproduced distributions of the averaged parameters of phase and amplitude anisotropy, the significant sensitivity of the statistical moments of the third and fourth orders to changes in the polycrystalline structure of partially depolarizing layers of biological tissue is observed. The differentiation of female reproductive sphere connective tissue is realized with excellent accuracy. The differential Mueller matrix mapping method for reconstruction of distributions of linear and circular birefringence and dichroism parameters of partially depolarizing layers of biological tissues of different morphological structures is proposed and substantiated. Differential diagnostics of changes in the phase (good balanced accuracy) and amplitude (excellent balanced accuracy) of the anisotropy of the partially depolarizing layers of the vagina wall tissue with prolapse of the genitals is realized. The maximum diagnostic efficiency of the first-order differential matrix method was demonstrated in comparison with the traditional methods of polarization and Mueller matrix mapping of histological sections of light-scattering biological tissues.
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Affiliation(s)
- L Trifonyuk
- Rivne State Medical Center, 78 Kyivska Str, Rivne, 33007, Ukraine
| | - A Sdobnov
- Faculty of Information Technology and Electrical Engineering, University of Oulu, 90570, Oulu, Finland
| | - W Baranowski
- Warsaw Military Institute of Medicine, 04141, Warsaw, Poland
| | - V Ushenko
- Chernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine
| | - O Olar
- Chernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine
| | - A Dubolazov
- Chernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine
| | - L Pidkamin
- Chernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine
| | - M Sidor
- Chernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine
| | - O Vanchuliak
- Bukovinian State Medical University, 3 Theatral Sq, Chernivtsi, 58000, Ukraine
| | - A Motrich
- Chernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine
| | - M Gorsky
- Chernivtsi National University, 2 Kotsiubynskyi Str, Chernivtsi, 58012, Ukraine
| | - I Meglinski
- Faculty of Information Technology and Electrical Engineering, University of Oulu, 90570, Oulu, Finland.
- Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University MEPhI, Moscow, 115409, Russia.
- Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, Tomsk, 634050, Russia.
- School of Engineering & Applied Science, Aston University, Birmingham, UK and School of Life & Health Sciences, Aston University, Aston University, Birmingham, UK.
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10
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Flexible polarimetric probe for 3 × 3 Mueller matrix measurements of biological tissue. Sci Rep 2017; 7:11958. [PMID: 28931853 PMCID: PMC5607295 DOI: 10.1038/s41598-017-12099-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Accepted: 09/04/2017] [Indexed: 12/20/2022] Open
Abstract
Polarimetry is a noninvasive method that uses polarised light to assess biophysical characteristics of tissues. A series of incident polarisation states illuminates a biological sample, and analysis of sample-altered polarisation states enables polarimetric tissue assessment. The resultant information can, for example, help quantitatively differentiate healthy from pathologic tissue. However, most bio-polarimetric assessments are performed using free-space optics with bulky optical components. Extension to flexible fibre-based systems is clinically desirable, but is challenging due to polarisation-altering properties of optical fibres. Here, we propose a flexible fibre-based polarimetric solution, and describe its design, fabrication, calibration, and initial feasibility demonstration in ex vivo tissue. The design is based on a flexible fibre bundle of six multimode optical fibres, each terminated with a distal polariser that ensures pre-determined output polarisation states. The resultant probe enables linear 3 × 3 Mueller matrix characterization of distal tissue. Potential in vivo Mueller matrix polarimetric tissue examinations in various directly-inaccessible body cavities are envisioned.
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11
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Rapid Detection of Necrosis in Breast Cancer with Desorption Electrospray Ionization Mass Spectrometry. Sci Rep 2016; 6:35374. [PMID: 27734938 PMCID: PMC5062153 DOI: 10.1038/srep35374] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 09/26/2016] [Indexed: 02/03/2023] Open
Abstract
Identification of necrosis in tumors is of prognostic value in treatment planning, as necrosis is associated with aggressive forms of cancer and unfavourable outcomes. To facilitate rapid detection of necrosis with Mass Spectrometry (MS), we report the lipid MS profile of necrotic breast cancer with Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) imaging validated with statistical analysis and correlating pathology. This MS profile is characterized by (1) the presence of the ion of m/z 572.48 [Cer(d34:1) + Cl]− which is a ceramide absent from the viable cancer subregions; (2) the absence of the ion of m/z 391.25 which is present in small abundance only in viable cancer subregions; and (3) a slight increase in the relative intensity of known breast cancer biomarker ions of m/z 281.25 [FA(18:1)-H]− and 303.23 [FA(20:4)-H]−. Necrosis is accompanied by alterations in the tissue optical depolarization rate, allowing tissue polarimetry to guide DESI-MS analysis for rapid MS profiling or targeted MS imaging. This workflow, in combination with the MS profile of necrosis, may permit rapid characterization of necrotic tumors from tissue slices. Further, necrosis-specific biomarker ions are detected in seconds with single MS scans of necrotic tumor tissue smears, which further accelerates the identification workflow by avoiding tissue sectioning and slide preparation.
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