Artificial Intelligence in Label-free Microscopy
Author | : Ata Mahjoubfar |
Publisher | : Springer |
Total Pages | : 151 |
Release | : 2017-04-19 |
ISBN-10 | : 9783319514482 |
ISBN-13 | : 3319514482 |
Rating | : 4/5 (82 Downloads) |
Book excerpt: 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.