๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

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

โœ Scribed by Ata Mahjoubfar, Claire Lifan Chen, Bahram Jalali (auth.)


Publisher
Springer International Publishing
Year
2017
Tongue
English
Leaves
151
Edition
1
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


Front Matter....Pages i-xxxiii
Front Matter....Pages 1-1
Introduction....Pages 3-5
Time Stretch....Pages 7-11
Front Matter....Pages 13-13
Nanometer-Resolved Imaging Vibrometer....Pages 15-20
Three-Dimensional Ultrafast Laser Scanner....Pages 21-29
Front Matter....Pages 31-31
Label-Free High-Throughput Phenotypic Screening....Pages 33-41
Time Stretch Quantitative Phase Imaging....Pages 43-63
Front Matter....Pages 65-65
Big Data Acquisition and Processing in Real-Time....Pages 67-71
Deep Learning and Classification....Pages 73-85
Front Matter....Pages 87-87
Optical Data Compression in Time Stretch Imaging....Pages 89-99
Design of Warped Stretch Transform....Pages 101-119
Concluding Remarks and Future Work....Pages 121-122
Back Matter....Pages 123-134

โœฆ Subjects


Biomedical Engineering;Electronics and Microelectronics, Instrumentation;Image Processing and Computer Vision;Bioinformatics


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