Intelligent image-based in situ single-cell isolation

Intelligent image-based in situ single-cell isolation

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 lase...

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Autores principales: Csilla Brasko, Kevin Smith, Csaba Molnar, Nora Farago, Lili Hegedus, Arpad Balind, Tamas Balassa, Abel Szkalisity, Farkas Sukosd, Katalin Kocsis, Balazs Balint, Lassi Paavolainen, Marton Z. Enyedi, Istvan Nagy, Laszlo G. Puskas, Lajos Haracska, Gabor Tamas, Peter Horvath
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Science
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Acceso en línea:https://doaj.org/article/45fa759495a24fc3831e7ab0ebc0ea21
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Sumario: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.

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