ENGLISH

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

By Ata Mahjoubfar , Claire Lifan Chen , Bahram Jalali (auth.)

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-51447-5, 978-3-319-51448-2
DOI
10.1007/978-3-319-51448-2
Language
english
Format
PDF
Filesize
5 MB (5056986 bytes)
Edition
1
Pages
XXXIII, 134\151
Time added
2017-06-25 01:07:36
Biomedical Engineering;Electronics and MicroelectrInstrumentation;Image Processing and Computer Visi

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.

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