Artificial Intelligence In Label- Microscopy Biological Cell Classification By T

This Book Introduces Time-stretch Quantitative Phase Imaging (ts-qpi), A High-throughput Label- 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 - Cellular Phenotypic Screening And Opens Up A Path To Data-driven Diagnosis.