Intelligent image-based in situ single-cell isolation

Intelligent image-based in situ single-cell isolation

Quantifying heterogeneities within cell populations is important for many fields including cancer research and neurobiology; however, techniques to isolate individual cells are limited. Here, we describe a high-throughput, non-disruptive, and cost-effective isolation method that is capable of captur...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Braskó Csilla
Smith Kevin
Molnár Csaba
Faragó Nóra
Döme Lili
Bálind Árpád
Balassa Tamás
Szkalisity Ábel
Kocsis Ágnes Katalin
Bálint Balázs
Enyedi Márton Zsolt
Nagy István
Puskás László
Haracska Lajos
Tamás Gábor
Horváth Péter
Dokumentumtípus: Cikk
Megjelent: 2018
Sorozat:NATURE COMMUNICATIONS 9 No. 1
doi:10.1038/s41467-017-02628-4

mtmt:3318793
Online Access:http://publicatio.bibl.u-szeged.hu/17905
Leíró adatok
Tartalmi kivonat:Quantifying heterogeneities within cell populations is important for many fields including cancer research and neurobiology; however, techniques to isolate individual cells are limited. Here, we describe a high-throughput, non-disruptive, and cost-effective isolation method that is capable of capturing individually targeted cells using widely available techniques. Using high-resolution microscopy, laser microcapture microscopy, image analysis, and machine learning, our technology enables scalable molecular genetic analysis of single cells, targetable by morphology or location within the sample.
Terjedelem/Fizikai jellemzők:Azonosító: 226-Terjedelem: 7 p
ISSN:2041-1723

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