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20 June 2024 Data driven approaches to Raman imaging through a multimode optical fiber
Liam Collard, Mohammadrahim Kazemzadeh, Linda Piscopo, Filippo Pisano, Massimo De Vittorio, Ferruccio Pisanello
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Proceedings Volume 13006, Biomedical Spectroscopy, Microscopy, and Imaging III; 1300606 (2024) https://doi.org/10.1117/12.3017119
Event: SPIE Photonics Europe, 2024, Strasbourg, France
Abstract
Raman spectroscopy is a powerful technique used across the life sciences to measure the molecular composition of a sample. There has been growing interest to miniaturize Raman imaging devices for endoscopic applications, however typically these probes are based on fiber bundles which increase the overall footprint of the probe. Recent works have shown that by applying a wavefront shaping technique, a single fiber may be transformed into a sub-cellular resolution Raman endoscope. However, a single probe both exciting and collecting the signal leads to an unavoidable large background signal from the fiber itself, masking large portions of the Raman signal from the sample. Here, we adopt a data-driven approach to de-convolve the background signal from the sample. In particular, we demonstrate that by applying PCA and machine learning techniques, sub-cellular resolution Raman images of pharmaceutical clusters can be made with supervision-free analysis.
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Liam Collard, Mohammadrahim Kazemzadeh, Linda Piscopo, Filippo Pisano, Massimo De Vittorio, and Ferruccio Pisanello "Data driven approaches to Raman imaging through a multimode optical fiber", Proc. SPIE 13006, Biomedical Spectroscopy, Microscopy, and Imaging III, 1300606 (20 June 2024); https://doi.org/10.1117/12.3017119
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KEYWORDS
Raman spectroscopy
Multimode fibers
Optical fibers
Signal analyzers
Wavefronts
Molecular spectroscopy
Optical components
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