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Artificial Intelligence in Label-free Microscopy

Biological Cell Classification by Time Stretch

Specificaties
Gebonden, blz. | Engels
Springer International Publishing | e druk, 2017
ISBN13: 9783319514475
Rubricering
Springer International Publishing e druk, 2017 9783319514475
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Samenvatting

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.

Specificaties

ISBN13:9783319514475
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

Inhoudsopgave

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

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        Artificial Intelligence in Label-free Microscopy