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Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch
Paperback
Technology & EngineeringProgramming
ISBN13: 9783319846545
Publisher: Springer Nature
Published: May 8 2018
Pages: 134
Weight: 0.54
Height: 0.36 Width: 6.14 Depth: 9.21
Language: English
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.
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Artificial Intelligence in Label-Free Microscopy: Biological Cell Classification by Time Stretch
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