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

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

Springer International Publishing AG（2017/04発売）

• 製本 Hardcover:ハードカバー版／ページ数 134 p.
• 言語 ENG
• 商品コード 9783319514475
• DDC分類 006.37

Full Description

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.

Contents

Introduction.- Background.- Nanometer-resolved imaging vibrometer.- Three-dimensional ultrafast laser scanner.- Label-free High-throughput Phenotypic Screening.- Time Stretch Quantitative Phase Imaging.- Big data acquisition and processing in real-time.- Deep Learning and Classification.- Optical Data Compression in Time Stretch Imaging.- Design of Warped Stretch Transform.- Concluding Remarks and Future Work.- References.