1
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Conci C, Sironi L, Jacchetti E, Panzeri D, Inverso D, Martínez Vázquez R, Osellame R, Collini M, Cerullo G, Chirico G, Raimondi MT. In vivo label-free tissue histology through a microstructured imaging window. APL Bioeng 2024; 8:016102. [PMID: 38222895 PMCID: PMC10787586 DOI: 10.1063/5.0165411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/06/2023] [Indexed: 01/16/2024] Open
Abstract
Tissue histopathology, based on hematoxylin and eosin (H&E) staining of thin tissue slices, is the gold standard for the evaluation of the immune reaction to the implant of a biomaterial. It is based on lengthy and costly procedures that do not allow longitudinal studies. The use of non-linear excitation microscopy in vivo, largely label-free, has the potential to overcome these limitations. With this purpose, we develop and validate an implantable microstructured device for the non-linear excitation microscopy assessment of the immune reaction to an implanted biomaterial label-free. The microstructured device, shaped as a matrix of regular 3D lattices, is obtained by two-photon laser polymerization. It is subsequently implanted in the chorioallantoic membrane (CAM) of embryonated chicken eggs for 7 days to act as an intrinsic 3D reference frame for cell counting and identification. The histological analysis based on H&E images of the tissue sections sampled around the implanted microstructures is compared to non-linear excitation and confocal images to build a cell atlas that correlates the histological observations to the label-free images. In this way, we can quantify the number of cells recruited in the tissue reconstituted in the microstructures and identify granulocytes on label-free images within and outside the microstructures. Collagen and microvessels are also identified by means of second-harmonic generation and autofluorescence imaging. The analysis indicates that the tissue reaction to implanted microstructures is like the one typical of CAM healing after injury, without a massive foreign body reaction. This opens the path to the use of similar microstructures coupled to a biomaterial, to image in vivo the regenerating interface between a tissue and a biomaterial with label-free non-linear excitation microscopy. This promises to be a transformative approach, alternative to conventional histopathology, for the bioengineering and the validation of biomaterials in in vivo longitudinal studies.
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Affiliation(s)
- Claudio Conci
- Department of Chemistry, Materials and Chemical Engineering “Giulio Natta,” Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
| | - Laura Sironi
- Department of Physics, Università di Milano-Bicocca, Piazza della Scienza 3, 20126 Milan, Italy
| | - Emanuela Jacchetti
- Department of Chemistry, Materials and Chemical Engineering “Giulio Natta,” Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
| | - Davide Panzeri
- Department of Physics, Università di Milano-Bicocca, Piazza della Scienza 3, 20126 Milan, Italy
| | - Donato Inverso
- Division of Immunology, Transplantation and Infectious Diseases IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Rebeca Martínez Vázquez
- Institute for Photonics and Nanotechnologies (IFN), CNR and Department of Physics, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
| | - Roberto Osellame
- Institute for Photonics and Nanotechnologies (IFN), CNR and Department of Physics, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
| | - Maddalena Collini
- Department of Physics, Università di Milano-Bicocca, Piazza della Scienza 3, 20126 Milan, Italy
| | - Giulio Cerullo
- Institute for Photonics and Nanotechnologies (IFN), CNR and Department of Physics, Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
| | - Giuseppe Chirico
- Department of Physics, Università di Milano-Bicocca, Piazza della Scienza 3, 20126 Milan, Italy
| | - Manuela Teresa Raimondi
- Department of Chemistry, Materials and Chemical Engineering “Giulio Natta,” Politecnico di Milano, Piazza L. da Vinci 32, 20133 Milan, Italy
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2
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Jeon H, Harvey M, Cisek R, Bennett E, Tokarz D. Characterization of pathological stomach tissue using polarization-sensitive second harmonic generation microscopy. BIOMEDICAL OPTICS EXPRESS 2023; 14:5376-5391. [PMID: 37854565 PMCID: PMC10581783 DOI: 10.1364/boe.500335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/16/2023] [Accepted: 09/09/2023] [Indexed: 10/20/2023]
Abstract
Alterations in collagen ultrastructure between human gastric adenocarcinoma and normal gastric tissue were investigated using polarization-resolved second harmonic generation (PSHG) microscopy. Cylindrical and trigonal symmetries were assumed to extract quantitative PSHG parameters, ρ, κ and S, from each image pixel. Statistically significant variations in these values were observed for gastric adenocarcinoma, indicating a higher disorder of collagen. Numerical focal volume simulations of crossing fibrils indicate increased S parameter is due to more intersecting collagen fibrils of varying diameters. These parameters were also able to distinguish between different grades of gastric adenocarcinoma indicating that PSHG may be useful for automated cancer diagnosis.
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Affiliation(s)
- Hwanhee Jeon
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
| | - MacAulay Harvey
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
| | - Richard Cisek
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
| | - Elisha Bennett
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
| | - Danielle Tokarz
- Department of Chemistry, Saint Mary’s University, 923 Robie Street, Halifax, Nova Scotia, B3H 3C3, Canada
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3
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PSHG-TISS: A collection of polarization-resolved second harmonic generation microscopy images of fixed tissues. Sci Data 2022; 9:376. [PMID: 35780180 PMCID: PMC9250519 DOI: 10.1038/s41597-022-01477-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 06/13/2022] [Indexed: 11/23/2022] Open
Abstract
Second harmonic generation (SHG) microscopy is acknowledged as an established imaging technique capable to provide information on the collagen architecture in tissues that is highly valuable for the diagnostics of various pathologies. The polarization-resolved extension of SHG (PSHG) microscopy, together with associated image processing methods, retrieves extensive image sets under different input polarization settings, which are not fully exploited in clinical settings. To facilitate this, we introduce PSHG-TISS, a collection of PSHG images, accompanied by additional computationally generated images which can be used to complement the subjective qualitative analysis of SHG images. These latter have been calculated using the single-axis molecule model for collagen and provide 2D representations of different specific PSHG parameters known to account for the collagen structure and distribution. PSHG-TISS can aid refining existing PSHG image analysis methods, while also supporting the development of novel image processing and analysis methods capable to extract meaningful quantitative data from the raw PSHG image sets. PSHG-TISS can facilitate the breadth and widespread of PSHG applications in tissue analysis and diagnostics. Measurement(s) | Type I Collagen | Technology Type(s) | multi-photon laser scanning microscopy | Factor Type(s) | second order susceptibility tensor elements | Sample Characteristic - Organism | Homo sapiens | Sample Characteristic - Environment | laboratory environment | Sample Characteristic - Location | Romania |
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4
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Phasor map analysis to investigate Hutchinson-Gilford progeria cell under polarization-resolved optical scanning microscopy. Sci Rep 2022; 12:1679. [PMID: 35102338 PMCID: PMC8803953 DOI: 10.1038/s41598-022-05755-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 01/06/2022] [Indexed: 12/02/2022] Open
Abstract
Polarized light scanning microscopy is a non-invasive and contrast-enhancing technique to investigate anisotropic specimens and chiral organizations. However, such arrangements suffer from insensitivity to confined blend of structures at sub-diffraction level. Here for the first time, we present that the pixel-by-pixel polarization modulation converted to an image phasor approach issues an insightful view of cells to distinguish anomalous subcellular organizations. To this target, we propose an innovative robust way for identifying changes in the chromatin compaction and distortion of nucleus morphology induced by the activation of the lamin-A gene from Hutchinson–Gilford progeria syndrome that induces a strong polarization response. The phasor mapping is evaluated based on the modulation and phase image acquired from a scanning microscope compared to a confocal fluorescence modality of normal cell opposed to the progeria. The method is validated by characterizing polarization response of starch crystalline granules. Additionally, we show that the conversion of the polarization-resolved images into the phasor could further utilized for segmenting specific structures presenting various optical properties under the polarized light. In summary, image phasor analysis offers a distinctly sensitive fast and easy representation of the polarimetric contrast that can pave the way for remote diagnosis of pathological tissues in real-time.
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5
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Le Gratiet A, Lanzano L, Bendandi A, Marongiu R, Bianchini P, Sheppard C, Diaspro A. Phasor approach of Mueller matrix optical scanning microscopy for biological tissue imaging. Biophys J 2021; 120:3112-3125. [PMID: 34224693 PMCID: PMC8390965 DOI: 10.1016/j.bpj.2021.06.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 05/05/2021] [Accepted: 06/04/2021] [Indexed: 11/06/2022] Open
Abstract
Mueller matrix microscopy is an advanced imaging technique providing a full characterization of the optical polarization fingerprint of a sample. The Lu-Chipman (LC) decomposition, a method based on the modeling of elementary polarimetric arrangements and matrix inversions, is the gold standard to extract each polarimetric component separately. However, this models the optical system as a small number of discrete optical elements and requires a priori knowledge of the order in which these elements occur. In stratified media or when the ordering is not known, the interpretation of the LC decomposition becomes difficult. In this work, we propose a new, to our knowledge, representation dedicated to the study of biological tissues that combines Mueller matrix microscopy with a phasor approach. We demonstrate that this method provides an easier and direct interpretation of the retardance images in any birefringent material without the use of mathematical assumptions regarding the structure of the sample and yields comparable contrast to the LC decomposition. By validating this approach through numerical simulations, we demonstrate that it is able to give access to localized structural information, resulting in a simple determination of the birefringent parameters at the microscopic level. We apply our novel, to our knowledge, method to typical biological tissues that are of interest in the field of biomedical diagnosis.
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Affiliation(s)
| | - Luca Lanzano
- Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genova, Italy; Department of Physics and Astronomy "Ettore Majorana", University of Catania, Catania, Italy
| | - Artemi Bendandi
- Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genova, Italy; DIFILAB, Department of Physics, University of Genoa, Genova, Italy; CONCEPT Lab, Istituto Italiano di Tecnologia, Genova, Italy
| | - Riccardo Marongiu
- Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genova, Italy; DIFILAB, Department of Physics, University of Genoa, Genova, Italy
| | - Paolo Bianchini
- Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genova, Italy
| | - Colin Sheppard
- Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genova, Italy; School of Chemistry, University of Wollongong, Wollongong, Australia
| | - Alberto Diaspro
- Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, Genova, Italy; DIFILAB, Department of Physics, University of Genoa, Genova, Italy
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6
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Xydias D, Ziakas G, Psilodimitrakopoulos S, Lemonis A, Bagli E, Fotsis T, Gravanis A, Tzeranis DS, Stratakis E. Three-dimensional characterization of collagen remodeling in cell-seeded collagen scaffolds via polarization second harmonic generation. BIOMEDICAL OPTICS EXPRESS 2021; 12:1136-1153. [PMID: 33680563 PMCID: PMC7901316 DOI: 10.1364/boe.411501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/24/2020] [Accepted: 12/01/2020] [Indexed: 05/08/2023]
Abstract
In this study, we use non-linear imaging microscopy to characterize the structural properties of porous collagen-GAG scaffolds (CGS) seeded with human umbilical vein endothelial cells (HUVECs), as well as human mesenchymal stem cells (hMSCs), a co-culture previously reported to form vessel-like structures inside CGS. The evolution of the resulting tissue construct was monitored over 10 days via simultaneous two- and three-photon excited fluorescence microscopy. Time-lapsed 2- and 3-photon excited fluorescence imaging was utilized to monitor the temporal evolution of the vascular-like structures up to 100 µm inside the scaffold up to 10 days post-seeding. 3D polarization-dependent second harmonic generation (PSHG) was utilized to monitor collagen-based scaffold remodeling and determine collagen fibril orientation up to 200 µm inside the scaffold. We demonstrate that polarization-dependent second harmonic generation can provide a novel way to quantify the reorganization of the collagen architecture in CGS simultaneously with key biomechanical interactions between seeded cells and CGS that regulate the formation of vessel-like structures inside 3D tissue constructs. A comparison between samples at different days in vitro revealed that gradually, the scaffolds developed an orthogonal net-like architecture, previously found in real skin.
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Affiliation(s)
- Dionysios Xydias
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Greece
- Department of Materials Science and Technology, School of Sciences and Engineering, University of Crete, Greece
| | - Georgios Ziakas
- Department of Materials Science and Technology, School of Sciences and Engineering, University of Crete, Greece
| | | | - Andreas Lemonis
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Greece
| | - Eleni Bagli
- Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Ioannina, Greece
| | - Theodore Fotsis
- Department of Biomedical Research, Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Ioannina, Greece
| | - Achille Gravanis
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Greece
- Department of Pharmacology, School of Medicine, University of Crete, Greece
| | - Dimitrios S. Tzeranis
- Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology-Hellas, Greece
- Department of Mechanical and Manufacturing Engineering, University of Cyprus, Cyprus, Greece
| | - Emmanuel Stratakis
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas, Greece
- Department of Physics, School of Sciences and Engineering, University of Crete, Greece
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7
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Durgam S, Singh B, Cole SL, Brokken MT, Stewart M. Quantitative Assessment of Tendon Hierarchical Structure by Combined Second Harmonic Generation and Immunofluorescence Microscopy. Tissue Eng Part C Methods 2020; 26:253-262. [PMID: 32228165 DOI: 10.1089/ten.tec.2020.0032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Histological evaluation of healing tendons is primarily focused on monitoring restoration of longitudinal collagen alignment, although the elastic property of energy-storing flexor tendons is largely attributed to interfascicular sliding facilitated by the interfascicular matrix (IFM). The objectives of this study were to explore the utility of second harmonic generation (SHG) imaging to objectively assess cross-sectional tendon fascicle architecture, to combine SHG microscopy with elastin immunofluorescence to assess the ultrastructure of collagen and elastin in longitudinal and transverse sections, and lastly, to quantify changes in IFM elastin and fascicle collagen alignment of normal and collagenase-injured flexor tendons. Paraffin-embedded transverse and longitudinal histological sections (10-μm thickness) derived from normal and collagenase-injured (6- and 16-week time-points) equine superficial digital flexor tendons were de-paraffinized, treated with Tris EDTA at 80°C for epitope retrieval, and incubated with mouse monoclonal anti-elastin antibody (1:100 dilution) overnight. Anti-mouse IgG Alexa Flour 546 secondary antibody was applied, and sections were mounted with ProLong Gold reagent with 4',6-diamidino-2-phenylindole (DAPI). Nuclei (DAPI) and elastin (Alexa Fluor 546) signals were captured by using standard confocal imaging with 405 and 543 nm excitation wavelengths, respectively. The SHG signal was captured by using a tunable Ti:Sapphire laser tuned to 950 nm to visualize type I collagen. Quantitative measurements of fascicle cross-sectional area (CSA), IFM thickness in transverse SHG-DAPI merged z-stacks, fascicle/IFM elastin area fraction (%), and elastin-collagen alignment in longitudinal SHG-elastin merged z-stacks were conducted by using ImageJ software. Using this methodology, fascicle CSA, IFM thickness, and IFM elastin area fraction (%) at 6 weeks (∼2.25-fold; ∼2.8-fold; 60% decrease; p < 0.001) and 16 weeks (∼2-fold; ∼1.5-fold; 70% decrease; p < 0.001) after collagenase injection, respectively, were found to be significantly different from normal tendon. IFM elastin and fascicle collagen alignment characterized via fast Fourier transform (FFT) frequency plots at 16 weeks demonstrated that collagen re-alignment was more advanced than that of elastin. The integration of SHG-derived quantitative measurements in transverse and longitudinal tendon sections supports comprehensive assessment of tendon structure. Our findings demonstrate the importance of including IFM and non-collagenous proteins in tendon histological evaluations, tasks that can be effectively carried out by using SHG and immunofluorescence microscopy. Impact statement This work demonstrated that second harmonic generation microscopy in conjunction with elastin immunofluorescence provided a comprehensive assessment of multiscale structural re-organization in healing tendon than when restricted to longitudinal collagen fiber alignment alone. Utilizing this approach for tendon histomorphometry is ideal not only to improve our understanding of hierarchical structural changes that occur after tendon injury and during remodeling but also to monitor the efficacy of therapeutic approaches.
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Affiliation(s)
- Sushmitha Durgam
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Benjamin Singh
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Sara L Cole
- Campus Microscopy Imaging Facility, The Ohio State University, Columbus, Ohio, USA
| | - Matthew T Brokken
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Matthew Stewart
- Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois, Urbana, Illinois, USA
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8
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Shi W, Koo DES, Kitano M, Chiang HJ, Trinh LA, Turcatel G, Steventon B, Arnesano C, Warburton D, Fraser SE, Cutrale F. Pre-processing visualization of hyperspectral fluorescent data with Spectrally Encoded Enhanced Representations. Nat Commun 2020; 11:726. [PMID: 32024828 PMCID: PMC7002680 DOI: 10.1038/s41467-020-14486-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 01/12/2020] [Indexed: 11/09/2022] Open
Abstract
Hyperspectral fluorescence imaging is gaining popularity for it enables multiplexing of spatio-temporal dynamics across scales for molecules, cells and tissues with multiple fluorescent labels. This is made possible by adding the dimension of wavelength to the dataset. The resulting datasets are high in information density and often require lengthy analyses to separate the overlapping fluorescent spectra. Understanding and visualizing these large multi-dimensional datasets during acquisition and pre-processing can be challenging. Here we present Spectrally Encoded Enhanced Representations (SEER), an approach for improved and computationally efficient simultaneous color visualization of multiple spectral components of hyperspectral fluorescence images. Exploiting the mathematical properties of the phasor method, we transform the wavelength space into information-rich color maps for RGB display visualization. We present multiple biological fluorescent samples and highlight SEER’s enhancement of specific and subtle spectral differences, providing a fast, intuitive and mathematical way to interpret hyperspectral images during collection, pre-processing and analysis. Spectral phasor analysis allows unmixing fluorescence microscopy images, but it requires user involvement and has a limited number of labels that can be analyzed and displayed. Here the authors present a semi-automated solution to visualise multiple spectral components of hyperspectral fluorescence images, simultaneously.
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Affiliation(s)
- Wen Shi
- Translational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Biomedical Engineering, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA
| | - Daniel E S Koo
- Translational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Biomedical Engineering, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA
| | - Masahiro Kitano
- Translational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Molecular and Computational Biology, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA
| | - Hsiao J Chiang
- Translational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Biomedical Engineering, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA
| | - Le A Trinh
- Translational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Molecular and Computational Biology, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Department of Biological Sciences, University of Southern California, 1050 Childs Way, Los Angeles, CA, 90089, USA
| | - Gianluca Turcatel
- Developmental Biology and Regenerative Medicine Program, Saban Research Institute, Children's Hospital, 4661 Sunset Blvd, Los Angeles, CA, 90089, USA.,Keck School of Medicine and Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Benjamin Steventon
- Department of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK
| | - Cosimo Arnesano
- Translational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Molecular and Computational Biology, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA
| | - David Warburton
- Developmental Biology and Regenerative Medicine Program, Saban Research Institute, Children's Hospital, 4661 Sunset Blvd, Los Angeles, CA, 90089, USA.,Keck School of Medicine and Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Scott E Fraser
- Translational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Biomedical Engineering, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.,Molecular and Computational Biology, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA
| | - Francesco Cutrale
- Translational Imaging Center, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA. .,Biomedical Engineering, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA. .,Molecular and Computational Biology, University of Southern California, 1002 West Childs Way, Los Angeles, CA, 90089, USA.
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9
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Abstract
Embryonic development is highly complex and dynamic, requiring the coordination of numerous molecular and cellular events at precise times and places. Advances in imaging technology have made it possible to follow developmental processes at cellular, tissue, and organ levels over time as they take place in the intact embryo. Parallel innovations of in vivo probes permit imaging to report on molecular, physiological, and anatomical events of embryogenesis, but the resulting multidimensional data sets pose significant challenges for extracting knowledge. In this review, we discuss recent and emerging advances in imaging technologies, in vivo labeling, and data processing that offer the greatest potential for jointly deciphering the intricate cellular dynamics and the underlying molecular mechanisms. Our discussion of the emerging area of “image-omics” highlights both the challenges of data analysis and the promise of more fully embracing computation and data science for rapidly advancing our understanding of biology.
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Affiliation(s)
- Francesco Cutrale
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA
- Translational Imaging Center, University of Southern California, Los Angeles, California 90089, USA
| | - Scott E. Fraser
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California 90089, USA
- Translational Imaging Center, University of Southern California, Los Angeles, California 90089, USA
- Division of Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California 90089, USA
| | - Le A. Trinh
- Translational Imaging Center, University of Southern California, Los Angeles, California 90089, USA
- Division of Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California 90089, USA
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10
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Sensini A, Gualandi C, Focarete ML, Belcari J, Zucchelli A, Boyle L, Reilly GC, Kao AP, Tozzi G, Cristofolini L. Multiscale hierarchical bioresorbable scaffolds for the regeneration of tendons and ligaments. Biofabrication 2019; 11:035026. [DOI: 10.1088/1758-5090/ab20ad] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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11
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Chen SJ, Sinsuebphon N, Rudkouskaya A, Barroso M, Intes X, Michalet X. In vitro and in vivo phasor analysis of stoichiometry and pharmacokinetics using short-lifetime near-infrared dyes and time-gated imaging. JOURNAL OF BIOPHOTONICS 2019; 12:e201800185. [PMID: 30421551 PMCID: PMC6559731 DOI: 10.1002/jbio.201800185] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 10/08/2018] [Accepted: 11/11/2018] [Indexed: 05/22/2023]
Abstract
We introduce a simple new approach for time-resolved multiplexed analysis of complex systems using near-infrared (NIR) dyes, applicable to in vitro and in vivo studies. We show that fast and precise in vitro quantification of NIR fluorophores' short (subnanosecond) lifetime and stoichiometry can be done using phasor analysis, a computationally efficient and user-friendly representation of complex fluorescence intensity decays obtained with pulsed laser excitation and time-gated camera imaging. We apply this approach to the study of binding equilibria by Förster resonant energy transfer using two different model systems: primary/secondary antibody binding in vitro and ligand/receptor binding in cell cultures. We then extend it to dynamic imaging of the pharmacokinetics of transferrin engagement with the transferrin receptor in live mice, elucidating the kinetics of differential transferrin accumulation in specific organs, straightforwardly differentiating specific from nonspecific binding. Our method, implemented in a freely-available software, has the advantage of time-resolved NIR imaging, including better tissue penetration and background-free imaging, but simplifies and considerably speeds up data processing and interpretation, while remaining quantitative. These advances make this method attractive and of broad applicability for in vitro and in vivo molecular imaging and could be extended to applications as diverse as image-guided surgery or optical tomography.
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Affiliation(s)
- Sez-Jade Chen
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York
| | - Nattawut Sinsuebphon
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York
| | - Alena Rudkouskaya
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York
| | - Margarida Barroso
- Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York
| | - Xavier Intes
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, New York
| | - Xavier Michalet
- Department of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, California
- Correspondence Xavier Michalet, Department of Chemistry and Biochemistry, University of California at Los Angeles, Los Angeles, CA 90095.
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12
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Sensini A, Gualandi C, Zucchelli A, Boyle LA, Kao AP, Reilly GC, Tozzi G, Cristofolini L, Focarete ML. Tendon Fascicle-Inspired Nanofibrous Scaffold of Polylactic acid/Collagen with Enhanced 3D-Structure and Biomechanical Properties. Sci Rep 2018; 8:17167. [PMID: 30464300 PMCID: PMC6249227 DOI: 10.1038/s41598-018-35536-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 10/29/2018] [Indexed: 12/21/2022] Open
Abstract
Surgical treatment of tendon lesions still yields unsatisfactory clinical outcomes. The use of bioresorbable scaffolds represents a way forward to improve tissue repair. Scaffolds for tendon reconstruction should have a structure mimicking that of the natural tendon, while providing adequate mechanical strength and stiffness. In this paper, electrospun nanofibers of two crosslinked PLLA/Collagen blends (PLLA/Coll-75/25, PLLA/Coll-50/50) were developed and then wrapped in bundles, where the nanofibers are predominantly aligned along the bundles. Bundle morphology was assessed via SEM and high-resolution x-ray computed tomography (XCT). The 0.4-micron resolution in XCT demonstrated a biomimetic morphology of the bundles for all compositions, with a predominant nanofiber alignment and some scatter (50-60% were within 12° from the axis of the bundle), similar to the tendon microstructure. Human fibroblasts seeded on the bundles had increased metabolic activity from day 7 to day 21 of culture. The stiffness, strength and toughness of the bundles are comparable to tendon fascicles, both in the as-spun condition and after crosslinking, with moderate loss of mechanical properties after ageing in PBS (7 and 14 days). PLLA/Coll-75/25 has more desirable mechanical properties such as stiffness and ductility, compared to the PLLA/Coll-50/50. This study confirms the potential to bioengineer tendon fascicles with enhanced 3D structure and biomechanical properties.
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Affiliation(s)
- Alberto Sensini
- Department of Industrial Engineering, Alma Mater Studiorum - Università di Bologna, 40131, Bologna, Italy
| | - Chiara Gualandi
- Department of Chemistry "G. Ciamician" and National Consortium of Materials Science and Technology (INSTM, Bologna RU), Alma Mater Studiorum - Università di Bologna, 40126, Bologna, Italy
- Health Sciences and Technologies - Interdepartmental Center for Industrial Research (HST-ICIR), Alma Mater Studiorum - Università di Bologna, 40064, Ozzano dell'Emilia, Bologna, Italy
| | - Andrea Zucchelli
- Department of Industrial Engineering, Alma Mater Studiorum - Università di Bologna, 40131, Bologna, Italy
| | - Liam A Boyle
- INSIGNEO Institute for in silico Medicine, Department of Materials Science, University of Sheffield, Sheffield, S10 2TN, United Kingdom
| | - Alexander P Kao
- ZEISS Global Centre, School of Mechanical and Design Engineering, University of Portsmouth, PO1 3DJ, Portsmouth, UK
| | - Gwendolen C Reilly
- INSIGNEO Institute for in silico Medicine, Department of Materials Science, University of Sheffield, Sheffield, S10 2TN, United Kingdom
| | - Gianluca Tozzi
- ZEISS Global Centre, School of Mechanical and Design Engineering, University of Portsmouth, PO1 3DJ, Portsmouth, UK
| | - Luca Cristofolini
- Department of Industrial Engineering, Alma Mater Studiorum - Università di Bologna, 40131, Bologna, Italy
- Health Sciences and Technologies - Interdepartmental Center for Industrial Research (HST-ICIR), Alma Mater Studiorum - Università di Bologna, 40064, Ozzano dell'Emilia, Bologna, Italy
| | - Maria Letizia Focarete
- Department of Chemistry "G. Ciamician" and National Consortium of Materials Science and Technology (INSTM, Bologna RU), Alma Mater Studiorum - Università di Bologna, 40126, Bologna, Italy.
- Health Sciences and Technologies - Interdepartmental Center for Industrial Research (HST-ICIR), Alma Mater Studiorum - Università di Bologna, 40064, Ozzano dell'Emilia, Bologna, Italy.
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13
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SENSINI A, CRISTOFOLINI L, FOCARETE M, BELCARI J, ZUCCHELLI A, KAO A, TOZZI G. High-resolution x-ray tomographic morphological characterisation of electrospun nanofibrous bundles for tendon and ligament regeneration and replacement. J Microsc 2018; 272:196-206. [DOI: 10.1111/jmi.12720] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 04/20/2018] [Accepted: 05/10/2018] [Indexed: 10/16/2022]
Affiliation(s)
- A. SENSINI
- Department of Industrial Engineering; Alma Mater Studiorum - Università di Bologna; Bologna Italy
| | - L. CRISTOFOLINI
- Department of Industrial Engineering; Alma Mater Studiorum - Università di Bologna; Bologna Italy
- Health Sciences and Technologies - Interdepartmental Center for Industrial Research (HST-ICIR); Alma Mater Studiorum - Università di Bologna; Ozzano dell'Emilia Bologna Italy
| | - M.L. FOCARETE
- Health Sciences and Technologies - Interdepartmental Center for Industrial Research (HST-ICIR); Alma Mater Studiorum - Università di Bologna; Ozzano dell'Emilia Bologna Italy
- Department of Chemistry ‘G. Ciamician’ and National Consortium of Materials Science and Technology (INSTM, Bologna RU); Alma Mater Studiorum - Università di Bologna; Bologna Italy
| | - J. BELCARI
- Department of Industrial Engineering; Alma Mater Studiorum - Università di Bologna; Bologna Italy
| | - A. ZUCCHELLI
- Department of Industrial Engineering; Alma Mater Studiorum - Università di Bologna; Bologna Italy
| | - A. KAO
- Zeiss Global Centre, School of Engineering; University of Portsmouth; Portsmouth PO1 3DJ U.K
| | - G. TOZZI
- Zeiss Global Centre, School of Engineering; University of Portsmouth; Portsmouth PO1 3DJ U.K
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