Artificial Intelligence in Label-free Microscopy 1

Data & IT

Artificial Intelligence in Label-free Microscopy

Ata Mahjoubfar • Claire Lifan Chen • Bahram Jalali

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134 sidor
2018

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.

Författare: Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali
Format: Pocket/Paperback
ISBN: 9783319846545
Språk: Engelska
Antal sidor: 134
Utgivningsdatum: 2018-05-08
Förlag: Springer International Publishing AG