IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-017-02628-4.html
   My bibliography  Save this article

Intelligent image-based in situ single-cell isolation

Author

Listed:
  • Csilla Brasko

    (University of Szeged, Szeged)

  • Kevin Smith

    (KTH Royal Institute of Technology
    Science for Life Laboratory)

  • Csaba Molnar

    (Biological Research Centre of the Hungarian Academy of Sciences)

  • Nora Farago

    (University of Szeged, Szeged
    Biological Research Centre of the Hungarian Academy of Sciences
    Avidin Biotechnology Ltd)

  • 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
    SeqOmics Biotechnology Ltd)

  • Laszlo G. Puskas

    (Biological Research Centre of the Hungarian Academy of Sciences
    Avidin Biotechnology Ltd)

  • 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
    University of Helsinki)

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.

Suggested Citation

  • 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, 2018. "Intelligent image-based in situ single-cell isolation," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02628-4
    DOI: 10.1038/s41467-017-02628-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-017-02628-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-017-02628-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02628-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.