By Ata Mahjoubfar,Claire Lifan Chen,Bahram Jalali
This publication introduces time-stretch quantitative section imaging (TS-QPI), a high-throughput label-free imaging circulation cytometer built for giant information acquisition and research in phenotypic screening. TS-QPI is ready to trap quantitative optical section and depth pictures concurrently, allowing high-content phone research, melanoma diagnostics, custom-made genomics, and drug improvement. The authors additionally show an entire laptop studying pipeline that plays optical part dimension, photograph processing, characteristic extraction, and category, allowing high-throughput quantitative imaging that achieves list excessive accuracy in label -free mobile phenotypic screening and opens up a brand new route to data-driven diagnosis.
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Additional info for Artificial Intelligence in Label-free Microscopy: Biological Cell Classification by Time Stretch
Artificial Intelligence in Label-free Microscopy: Biological Cell Classification by Time Stretch by Ata Mahjoubfar,Claire Lifan Chen,Bahram Jalali