Deep-learning image-based biophysical cytometry  (Conference Presentation)

Kevin K. Tsia

doi:10.1117/12.2672695

16 March 2023 Deep-learning image-based biophysical cytometry (Conference Presentation)

Kevin K. Tsia

Proceedings Volume PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII; PC123900N (2023) https://doi.org/10.1117/12.2672695
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Recent advances in optical microscopy have revolutionized our ability to visualize multifaceted morphological signatures (biophysical & molecular) of cells without the onerous and destructive sample handling commonly used in molecular profiling. This talk will cover our latest developments in combining ultrahigh-throughput microfluidic single-cell imaging (at a throughput up to 100,000 cells/sec) with different supervised/unsupervised image analytic strategies for crafting large-scale morphological “fingerprints” (profiles) of single cells. The talk will further discuss the new opportunities and challenges of how to integrate this rapidly growing image-based repertoire with the single-cell multi-omics data - altogether formulating holistic and integrative single-cell analysis strategies for dissecting the complex biological system.

Conference Presentation

Citation Download Citation

Kevin K. Tsia "Deep-learning image-based biophysical cytometry (Conference Presentation)", Proc. SPIE PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII, PC123900N (16 March 2023); https://doi.org/10.1117/12.2672695

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