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Deep-learning FRET visualization in flow cytometry: At the cross road of the signaling and FRET pathways

László Bene1,2, László Damjanovich1

  • 1Department of Surgery, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|December 26, 2022
PubMed
Abstract

No abstract available in PubMed .

Keywords:
artificial neural networkconvolutional neural networkreduction of dimensionalitysignal multiplexingsupervised and unsupervised deep-learning

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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