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6 March 2023 Development and label-free cell classification with hybrid ghost cytometer surpassing the conventional flow cytometer
Takeshi Sugiyama, Takuya Kuwana, Sayuri Tomoda, Kohei Yamada, Yusuke Konishi, Keisuke Toda, Hikari Morita, Toru Imai, JianYin Lu, Ayato Tagawa, Kazuhiro Yamada
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Proceedings Volume PC12368, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI; PC123680O (2023) https://doi.org/10.1117/12.2647523
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Ghost cytometry is a technique for discrimination of cells by applying structured illumination consisting of multiple micro-spots (0.8um) and machine learning. We have developed a benchtop type device that adds ghost cytometry capabilities to our conventional flow cytometry system and evaluated cell models, showing that our new device enables label-free classification of cell types that cannot be classified by conventional flow cytometry. We will present and discuss the results of cell classification using our hybrid ghost cytometer enabling detailed and high-throughput cell analysis, and the new diagnostic value that ghost cytometry brings.
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Takeshi Sugiyama, Takuya Kuwana, Sayuri Tomoda, Kohei Yamada, Yusuke Konishi, Keisuke Toda, Hikari Morita, Toru Imai, JianYin Lu, Ayato Tagawa, and Kazuhiro Yamada "Development and label-free cell classification with hybrid ghost cytometer surpassing the conventional flow cytometer", Proc. SPIE PC12368, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXI, PC123680O (6 March 2023); https://doi.org/10.1117/12.2647523
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KEYWORDS
Flow cytometry
Diagnostics
Machine learning
Signal generators
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