Artificial Intelligence In Label-free Microscopy - ENG
Biological Cell Classification By Time Stretch
| ISBN: | 9783319514482 |
|---|---|
| Formato: | Page Fidelity |
| Idioma: | Inglés |
| Editorial: | Springer Nature |
| Tema: | Tecnología e ingeniería |
| Subtema: | Eletrónica general |
| Año de publicación: | 2017-04-19 |
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.










Este sitio web utiliza cookies para mejorar la experiencia del usuario y asegurar su funcionamiento con eficacia.
Al utilizarlo usted acepta el uso de cookies.