Artificial Intelligence in Label-free Microscopy - 9783319514475
Artificial Intelligence in Label-free MicroscopyBiological Cell Classification by Time Stretch\nAuthor(s): Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali\nFormat: Hardback\nPublisher: Springer International Publishing AG, Switzerland\nImprint: Springer International Publishing AG\nISBN-13: 9783319514475, 978-3319514475\nSynopsis\nThis 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 phenot.
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