On-the-fly slit-scanning confocal Raman microscope guaranteeing the accuracy of discrimination

Toshiki Kubo; Koji Tabata; Hiroyuki Kawagoe; James Nicholas Taylor; Jean-Emmanuel Clement; Yoshinori Harada; Atsuyoshi Nakamura; Katsumasa Fujita; Tamiki Komatsuzaki

doi:10.1117/12.3001684

13 March 2024 On-the-fly slit-scanning confocal Raman microscope guaranteeing the accuracy of discrimination

Toshiki Kubo, Koji Tabata, Hiroyuki Kawagoe, James Nicholas Taylor, Jean-Emmanuel Clement, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, Tamiki Komatsuzaki

Author Affiliations +

Proceedings Volume PC12839, Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry; PC128390D (2024) https://doi.org/10.1117/12.3001684
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We developed a fast Raman spectroscopic discrimination system based on a slit-scanning confocal microscope and machine learning. The speed of discrimination was improved by reducing the number of measurements, without measuring all points in the field of view. During discrimination, the system continues to evaluate the spectra already obtained, which guarantees the accuracy of the discrimination and enables early detection of anomalies by optimizing the measurement positions. We performed discrimination using a mixture of polystyrene (PS) and polymethyl methacrylate (PMMA) microbeads as a sample to mimic cancer tissue and that of fatty liver tissue using mouse liver tissue samples. The results showed that the discrimination was about 2-11 times faster than that by slit scanning confocal microscopy.

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Citation Download Citation

Toshiki Kubo, Koji Tabata, Hiroyuki Kawagoe, James Nicholas Taylor, Jean-Emmanuel Clement, Yoshinori Harada, Atsuyoshi Nakamura, Katsumasa Fujita, and Tamiki Komatsuzaki "On-the-fly slit-scanning confocal Raman microscope guaranteeing the accuracy of discrimination", Proc. SPIE PC12839, Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry, PC128390D (13 March 2024); https://doi.org/10.1117/12.3001684

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