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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: Nature Portfolio 2018
Subjects:
Science
Q
Online Access:https://doaj.org/article/45fa759495a24fc3831e7ab0ebc0ea21
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/45fa759495a24fc3831e7ab0ebc0ea21

Similar Items