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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Detaylı Bibliyografya
Asıl Yazarlar: Mahjoubfar, Ata (Yazar), Chen, Claire Lifan (Yazar), Jalali, Bahram (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Konular:
Biomedical engineering.
Electronics.
Computer vision.
Bioinformatics.
Biomedical Engineering and Bioengineering.
Electronics and Microelectronics, Instrumentation.
Computer Vision.
Online Erişim:Full-text access
İçindekiler:
  • 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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