Artificial Intelligence in Label-free Microscopy

Download or read book Artificial Intelligence in Label-free Microscopy written by Ata Mahjoubfar and published by Springer. This book was released on 2017-04-19 with total page 151 pages. Available in PDF, EPUB and Kindle. 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.