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

By Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 331984654X
• ISBN13: 9783319846545
• Release Date: May 2018
• Publisher: Springer
• Length: 134 Pages
• Weight: 0.54 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"