This book introduces time-stretch quantitative phase imaging (TS-QPI), a high-throughput label-free imaging flow cytometer developed for big data acquisition and analysis in phenotypic screening. TS-QPI is able to capture quantitative optical phase and intensity images simultaneously, enabling high-content cell analysis, cancer diagnostics, personalized genomics, and drug development. The authors also demonstrate a complete machine learning pipeline that performs optical phase measurement, image processing, feature extraction, and classification, enabling high-throughput quantitative imaging that achieves record high accuracy in label -free cellular phenotypic screening and opens up a new path to data-driven diagnosis.Artificial Intelligence in Label-free Microscopy Biological Cell Classification by Time Stretch By: Ata Mahjoubfar; Claire Lifan Chen; Bahram Jalali Publisher: Springer Print ISBN: 9783319514475, 3319514474 other ISBNs: 9783319514482, 3319514482 Copyright year: 2017
Artificial Intelligence in Label-free Microscopy
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