Label-free cytometry for the classification and diagnosis of bladder cancer (Conference Presentation)

Matan Dudaie; Miki Haifler; Natan T. Shaked; Itay Barnea

doi:10.1117/12.2651370

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

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.

Conference Presentation

Citation Download Citation

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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