Artificial Intelligence in Label-free Microscopy: Biological Cell Classification by Time Stretch

Mahjoubfar, Ata; Chen, Claire Lifan; Jalali, Bahram

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.

Details

Published by: Springer

Publication Date: 2018-05-08

Format: Paperback

ISBN-13: 9783319846545

DOI: 10.1007/978-3-319-51448-2

Dimensions: 235cm x155cm

Pages: 134