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

• Main Authors: Mahjoubfar, Ata (Author), Chen, Claire Lifan (Author), Jalali, Bahram (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Subjects: Engineering.; Image processing.; Bioinformatics.; Electronics.; Microelectronics.; Biomedical engineering.; Biomedical Engineering.; Electronics and Microelectronics, Instrumentation.; Image Processing and Computer Vision.

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-...

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.