Intelligent image-based in situ single-cell isolation

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 and Peter Horvath ()
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Csilla Brasko: University of Szeged, Szeged
Kevin Smith: KTH Royal Institute of Technology
Csaba Molnar: Biological Research Centre of the Hungarian Academy of Sciences
Nora Farago: University of Szeged, Szeged
Lili Hegedus: Biological Research Centre of the Hungarian Academy of Sciences
Arpad Balind: Biological Research Centre of the Hungarian Academy of Sciences
Tamas Balassa: Biological Research Centre of the Hungarian Academy of Sciences
Abel Szkalisity: Biological Research Centre of the Hungarian Academy of Sciences
Farkas Sukosd: University of Szeged, Szeged
Katalin Kocsis: University of Szeged, Szeged
Balazs Balint: SeqOmics Biotechnology Ltd
Lassi Paavolainen: University of Helsinki
Marton Z. Enyedi: Biological Research Centre of the Hungarian Academy of Sciences
Istvan Nagy: Biological Research Centre of the Hungarian Academy of Sciences
Laszlo G. Puskas: Biological Research Centre of the Hungarian Academy of Sciences
Lajos Haracska: Biological Research Centre of the Hungarian Academy of Sciences
Gabor Tamas: University of Szeged, Szeged
Peter Horvath: Biological Research Centre of the Hungarian Academy of Sciences

Nature Communications, 2018, vol. 9, issue 1, 1-7

Abstract: Abstract 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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02628-4

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DOI: 10.1038/s41467-017-02628-4

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