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

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-...

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Bibliographic Details
Main Authors: Mahjoubfar, Ata (Author), Chen, Claire Lifan (Author), Jalali, Bahram (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Subjects:
Biomedical engineering.
Electronics.
Computer vision.
Bioinformatics.
Biomedical Engineering and Bioengineering.
Electronics and Microelectronics, Instrumentation.
Computer Vision.
Online Access:Full-text access
Table of Contents:
  • Introduction
  • Background
  • Nanometer-resolved imaging vibrometer
  • Three-dimensional ultrafast laser scanner
  • Label-free High-throughput Phenotypic Screening
  • Time Stretch Quantitative Phase Imaging
  • Big data acquisition and processing in real-time
  • Deep Learning and Classification
  • Optical Data Compression in Time Stretch Imaging
  • Design of Warped Stretch Transform
  • Concluding Remarks and Future Work
  • References.

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