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16 March 2023 Label-free cytometry for the classification and diagnosis of bladder cancer (Conference Presentation)
Matan Dudaie, Miki Haifler, Natan T. Shaked, Itay Barnea
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Proceedings Volume PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023; PC123910G (2023) https://doi.org/10.1117/12.2651370
Event: SPIE BiOS, 2023, San Francisco, California, United States
Abstract
Hundreds of thousands of people are diagnosed with bladder cancer yearly, with recurrence rates of 60% in the first year. We propose a new label-free imaging technique for noninvasive and automated individual cell processing with high discriminating power in detecting cancer cells in urine samples. We analyzed urine samples from bladder cancer patients by acquiring holograms of cells during flow. We then extracted highly discriminative features and classified the cells to their types. This noninvasive label-free technique allows us to monitor and diagnose cancer progression from a simple urine sample and has the potential to substitute the invasive cystoscopy procedure.
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Matan Dudaie, Miki Haifler, Natan T. Shaked, and Itay Barnea "Label-free cytometry for the classification and diagnosis of bladder cancer (Conference Presentation)", Proc. SPIE PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, PC123910G (16 March 2023); https://doi.org/10.1117/12.2651370
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KEYWORDS
Bladder cancer
Cystoscopy
Cancer
Tumors
Feature extraction
Holograms
Optical microscopy
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