학술논문
Leveraging machine vision in cell-based diagnostics to do more with less
Document Type
Article
Author
Source
Nature Materials; May 2019, Vol. 18 Issue: 5 p414-418, 5p
Subject
Language
ISSN
14761122; 14764660
Abstract
Highly quantitative, robust, single-cell analyses can help to unravel disease heterogeneity and lead to clinical insights, particularly for complex and chronic diseases. Advances in computer vision and machine learning can empower label-free cell-based diagnostics to capture subtle disease states.