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Intelligent image-based in situ single-cell isolation
- Source :
- Nature Communications, Vol 9, Iss 1, Pp 1-7 (2018)
- Publication Year :
- 2018
- Publisher :
- Nature Portfolio, 2018.
-
Abstract
- The isolation of single cells while retaining context is important for quantifying cellular heterogeneity but technically challenging. Here, the authors develop a high-throughput, scalable workflow for microscopy-based single cell isolation using machine-learning, high-throughput microscopy and laser capture microdissection.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 9
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.45fa759495a24fc3831e7ab0ebc0ea21
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-017-02628-4