Hybrid Raman and Partial Wave Spectroscopy Microscope for the Characterization of Molecular and Structural Alterations in Tissue.
Raman spectroscopy
field cancerization
light‐scattering spectroscopy
microscopy
multimodal imaging
partial wave spectroscopy
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
27 Oct 2024
27 Oct 2024
Historique:
revised:
02
10
2024
received:
17
07
2024
accepted:
03
10
2024
medline:
28
10
2024
pubmed:
28
10
2024
entrez:
27
10
2024
Statut:
aheadofprint
Résumé
We present a hybrid Raman spectroscopy (RS) and partial wave spectroscopy (PWS) microscope for the characterization of molecular and structural tissue alterations. The PWS performance was assessed with surface roughness standards, while the Raman performance with a silicon crystal standard. We also validated the system on stomach and intestinal mouse tissues, two closely-related tissue types, and demonstrate that the addition of PWS information improves RS data classification for these tissue types from R
Identifiants
pubmed: 39462506
doi: 10.1002/jbio.202400330
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202400330Subventions
Organisme : European Union's Horizon 2020 research and innovation programme
ID : No 801347 (SENSITIVE)
Organisme : European Union's Horizon 2020 research and innovation programme
ID : No 863203 (DynAMic)
Informations de copyright
© 2024 The Author(s). Journal of Biophotonics published by Wiley‐VCH GmbH.
Références
D. P. Slaughter, H. W. Southwick, and W. Smejkal, “Field Cancerization in Oral Stratified Squamous Epithelium; Clinical Implications of Multicentric Origin,” Cancer 6 (1953): 963–968.
K. Curtius, N. A. Wright, and T. A. Graham, “An Evolutionary Perspective on Field Cancerization,” Nature Reviews. Cancer 18 (2018): 19–32.
V. Backman and H. K. Roy, “Advances in Biophotonics Detection of Field Carcinogenesis for Colon Cancer Risk Stratification,” Journal of Cancer 4 (2013): 251–261.
D. Rebello, E. Rebello, M. Custodio, X. Xu, S. Gandhi, and H. K. Roy, “Field Carcinogenesis for Risk Stratification of Colorectal Cancer,” Advances in Cancer Research 151 (2021): 305–344.
V. Backman and H. K. Roy, “Light‐Scattering Technologies for Field Carcinogenesis Detection: A Modality for Endoscopic Prescreening,” Gastroenterology 140 (2011): 35–41.
V. Turzhitsky, J. D. Rogers, N. N. Mutyal, H. K. Roy, and V. Backman, “Characterization of Light Transport in Scattering Media at Subdiffusion Length Scales With Low‐Coherence Enhanced Backscattering,” IEEE Journal of Selected Topics in Quantum Electronics 16 (2010): 619–626.
N. N. Mutyal, A. Radosevich, B. Gould, et al., “A Fiber Optic Probe Design to Measure Depth‐limited Pptical Properties With Low‐coherence Enhanced Backscattering (LEBS) Spectroscopy,” Optics Express 20 (2012): 19643–19657.
H. Subramanian, P. Pradhan, Y. Liu, et al., “Optical Methodology for Detecting Histologically Unapparent Nanoscale Consequences of Genetic Alterations in Biological Cells,” Proceedings of the National Academy of Sciences of the United States of America 105 (2008): 20118–20123.
S. Gladstein, D. Damania, L. M. Almassalha, et al., “Correlating Colorectal Cancer Risk With Field Carcinogenesis Progression Using Partial Wave Spectroscopic Microscopy,” Cancer Medicine 7 (2018): 2109–2120.
A. J. Radosevich, N. N. Mutyal, A. Eshein, et al., “Rectal Optical Markers forIn VivoRisk Stratification of Premalignant Colorectal Lesions,” Clinical Cancer Research 21 (2015): 4347–4355.
N. N. Mutyal, A. J. Radosevich, S. Bajaj, et al., “In Vivo Risk Analysis of Pancreatic Cancer Through Optical Characterization of Duodenal Mucosa,” Pancreas 44 (2015): 735–741.
A. J. Radosevich, N. N. Mutyal, J. D. Rogers, et al., “Buccal Spectral Markers for Lung Cancer Risk Stratification,” PLoS One 9 (2014): 9.
G. M. Bauer, Y. Stypula‐Cyrus, H. Subramanian, et al., “The Transformation of the Nuclear Nanoarchitecture in Human Field Carcinogenesis,” Future Science OA 3 (2017): 3.
M. Paraskevaidi, B. J. Matthew, B. J. Holly, et al., “Clinical Applications of Infrared and Raman Spectroscopy in the Fields of Cancer and Infectious Diseases,” Applied Spectroscopy Reviews 56 (2021): 804–868.
S. P. Singh, A. Sahu, A. Deshmukh, P. Chaturvedi, and C. M. Krishna, “In vivo Raman Spectroscopy of Oral Buccal Mucosa: A Study on Malignancy Associated Changes (MAC)/Cancer Field Effects (CFE),” Analyst 138 (2013): 4175–4182.
A. Malik, A. Sahu, S. P. Singh, et al., “In vivo Raman Spectroscopy‐Assisted Early Identification of Potential Second Primary/Recurrences in Oral Cancers: An Exploratory Study,” Head and Neck‐Journal For The Sciences and Specialties 39 (2017): 2216–2223.
N. Vogler, T. Bocklitz, F. S. Salah, et al., “Systematic Evaluation of the Biological Variance Within the Raman Based Colorectal Tissue Diagnostics,” Journal of Biophotonics 9 (2016): 533–541.
Q. Zheng, W. B. Kang, C. Y. Chen, X. X. Shi, Y. Yang, and C. J. Yu, “Diagnosis Accuracy of Raman Spectroscopy in Colorectal Cancer,” Medicine 98 (2019): 98.
I. W. Schie, C. Stiebing, and J. Popp, “Looking for a Perfect Match: Multimodal Combinations of Raman Spectroscopy for Biomedical Applications,” Journal of Biomedical Optics 26 (2021): 26.
A. F. Cheung, A. M. Carter, K. K. Kostova, et al., “Complete Deletion of Apc Results in Severe Polyposis in Mice,” Oncogene 29 (2010): 1857–1864.
S. Gladstein, L. M. Almassalha, L. Cherkezyan, et al., “Multimodal Interference‐Based Imaging of Nanoscale Structure and Macromolecular Motion Uncovers UV Induced Cellular Paroxysm,” Nature Communications 10 (2019): 10.
L. Cherkezyan, D. Zhang, H. Subramanian, I. Capoglu, A. Taflove, and V. Backman, “Review of Interferometric Spectroscopy of Scattered Light for the Quantification of Subdiffractional Structure of Biomaterials,” Journal of Biomedical Optics 22 (2017): 22.
M. Quante, G. Bhagat, J. A. Abrams, et al., “Bile Acid and Inflammation Activate Gastric Cardia Stem Cells in a Mouse Model of Barrett‐Like Metaplasia,” Cancer Cell 21 (2012): 36–51.
B. Kunze, F. Wein, H. Y. Fang, et al., “Notch Signaling Mediates Differentiation in Barrett's Esophagus and Promotes Progression to Adenocarcinoma,” Gastroenterology 159 (2020): 575–590.
B. B. Madison, L. Dunbar, X. T. T. Qiao, K. Braunstein, E. Braunstein, and D. L. Gumucio, “Cis Elements of the Villin Gene Control Expression in Restricted Domains of the Vertical (Crypt) and Horizontal (Duodenum, Cecum) Axes of the Intestine,” Journal of Biological Chemistry 277 (2002): 33275–33283.
J. Zhao, H. Lui, D. I. McLean, and H. Zeng, “Automated Autofluorescence Background Subtraction Algorithm for Biomedical Raman Spectroscopy,” Applied Spectroscopy 61 (2007): 1225–1232.
R. Gautam, S. Vanga, F. Ariese, and S. Umapathy, “Review of Multidimensional Data Processing Approaches for Raman and Infrared Spectroscopy,” EPJ Techniques and Instrumentation (2015): 2.
R. M. Haralick, K. Shanmugam, and I. Dinstein, “Textural Features for Image Classification,” IEEE Transactions on Systems, Man, and Cybernetics Smc3 (1973): 610–621.
M. Kulmaganbetov, R. J. Bevan, N. Anantrasirichai, et al., “Textural Feature Analysis of Optical Coherence Tomography Phantoms,” Electronics 11 (2022): 11.
A. Chaddad and C. Tanougast, “Texture Analysis of Abnormal Cell Images for Predicting the Continuum of Colorectal Cancer,” Analytical Cellular Pathology 2017 (2017): 1–13.
I. Pantic, J. Cumic, S. Dugalic, G. A. Petroianu, and P. R. Corridon, “Gray Level Co‐Occurrence Matrix and Wavelet Analyses Reveal Discrete Changes in Proximal Tubule Cell Nuclei After Mild Acute Kidney Injury,” Scientific Reports 13 (2023): 13.
S. X. Guo, J. Popp, and T. Bocklitz, “Chemometric Analysis in Raman Spectroscopy From Experimental Design to Machine Learning‐based Modeling,” Nature Protocols 16 (2021): 5426–5459.
B.‐H. Mevik and R. Wehrens, “Help Section of the ‘Pls’ Package of R Studio Software,” 2015, 1–23.
B. Lafuente, R. T. Downs, H. Yang, N. Stone, T. Armbruster, and R. M. Danisi, Highlights in Mineralogical Crystallography, vol. 1 (Berlin, München, Boston: De Gruyter (O), 2015), 25.
M. S. Bergholt, W. Zheng, K. Lin, et al., “Characterizing Variability in In Vivo Raman Spectra of Different Anatomical Locations in the Upper Gastrointestinal Tract Toward Cancer Detection,” Journal of Biomedical Optics 16 (2011): 16.
M. S. Bergholt, W. Zheng, K. Y. Ho, et al., “Fiber‐Optic Raman Spectroscopy Probes Gastric Carcinogenesisin Vivoat Endoscopy,” Journal of Biophotonics 6 (2013): 49–59.
Y. Stypula‐Cyrus, D. Damania, D. P. Kunte, et al., “HDAC Up‐Regulation in Early Colon Field Carcinogenesis Is Involved in Cell Tumorigenicity Through Regulation of Chromatin Structure,” PLoS One 8 (2013): 8.
R. K. Wali, N. Momi, M. Dela Cruz, et al., “Higher Order Chromatin Modulator Cohesin SA1 Is an Early Biomarker for Colon Carcinogenesis: Race‐Specific Implications,” Cancer Prevention Research 9 (2016): 844–854.
H. Subramanian, H. K. Roy, P. Pradhan, et al., “Nanoscale Cellular Changes in Field Carcinogenesis Detected by Partial Wave Spectroscopy,” Cancer Research 69 (2009): 5357–5363.
J. E. Magney, S. L. Erlandsen, M. L. Bjerknes, and H. Cheng, “Scanning Electron Microscopy of Isolated Epithelium of the Murine Gastrointestinal Tract: Morphology of the Basal Surface and Evidence for Paracrinelike Cells,” American Journal of Anatomy 177 (1986): 43–53.
C. Y. Liu and D. B. Polk, “Cellular Maps of Gastrointestinal Organs: Getting the Most from Tissue Clearing,” American Journal of Physiology ‐ Gastrointestinal and Liver Physiology 319 (2020): G1–G10.
M. Andreana, R. Sentosa, M. T. Erkkilä, W. Drexler, and A. Unterhuber, “Depth Resolved Label‐Free Multimodal Optical Imaging Platform to Study Morpho‐Molecular Composition of Tissue,” Photochemical & Photobiological Sciences 18 (2019): 997–1008.
G. Giardina, A. Micko, D. Bovenkamp, et al., “Morpho‐Molecular Metabolic Analysis and Classification of Human Pituitary Gland and Adenoma Biopsies Based on Multimodal Optical Imaging,” Cancers 13 (2021): 13.
M. Y. Sheng, Y. Zhao, Z. G. Wu, et al., “Single Source CARS‐Based Multimodal Microscopy System for Biological Tissue Imaging [Invited],” Biomedical Optics Express 15 (2024): 15.
W. T. Wu, C. Brandt, X. Zhou, and S. Tang, “Label‐Free Multimodal Imaging With Simultaneous Two‐Photon and Three‐Photon Microscopy and Kernel‐Based Nonlinear Scaling Denoising,” Biomedical Optics Express 15 (2024): 114–130.
D. Septier, V. Mytskaniuk, R. Habert, et al., “Label‐Free Highly Multimodal Nonlinear Endoscope,” Optics Express 30 (2022): 25020–25033.
D. Vasquez, F. Knorr, F. Hoffmann, et al., “Multimodal Scanning Microscope Combining Optical Coherence Tomography, Raman Spectroscopy and Fluorescence Lifetime Microscopy for Mesoscale Label‐Free Imaging of Tissue,” Analytical Chemistry 93 (2021): 11479–11487.