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eBook

Mahjoubfar / Chen / Jalali

Artificial Intelligence in Label-free Microscopy

Biological Cell Classification by Time Stretch

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eBook. PDF

eBook

2017

134 S. XXXIII, 134 p. 52 illus. in color..

In englischer Sprache

Springer International Publishing. ISBN 978-3-319-51448-2

Produktbeschreibung

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.

. Demonstrates how machine learning is used in high-speed microscopy imaging to facilitate medical diagnosis;

. Provides a systematic and comprehensive illustration of time stretch technology;

. Enables multidisciplinary application, including industrial, biomedical, and artificial intelligence.

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