Flow cytometry

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Label-free cell cycle analysis for high-throughput imaging flow cytometry | Nature Communications Supervised Machine Learning, Cycle Phases, Fluorescence Microscopy, Flow Cytometry, Cell Cycle, Free Labels, Machine Learning, How To Apply, Nature

Imaging flow cytometry enables high-throughput acquisition of fluorescence, brightfield and darkfield images of biological cells. Here, Blasi et al.demonstrate that applying machine learning algorithms on brightfield and darkfield images can detect cellular phenotypes without the need for fluorescent stains, enabling label-free assays.

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What are the challenges faced when developing research models? Discover this and more in @BioanalysisZone's exclusive interview with Christoph Eberle and Steve Festin. https://www.bioanalysis-zone.com/flow-cytometry-mouse-model-development-interveiw-christoph-eberle-steve-festin_criver_spotl_flowcytom/ Flow Cytometry, Charles River, Edison Light Bulbs, Interview, Science, Models

What are the challenges faced when developing research models? Discover this and more in @BioanalysisZone's exclusive interview with Christoph Eberle and Steve Festin. https://www.bioanalysis-zone.com/flow-cytometry-mouse-model-development-interveiw-christoph-eberle-steve-festin_criver_spotl_flowcytom/

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