Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Intelligent image-based in situ single-cell isolation
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST). KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0002-6163-191X
Show others and affiliations
2018 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 9, article id 226Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2018. Vol. 9, article id 226
National Category
Medical Biotechnology
Identifiers
URN: urn:nbn:se:kth:diva-221926DOI: 10.1038/s41467-017-02628-4ISI: 000422647600023PubMedID: 29335532Scopus ID: 2-s2.0-85040796437OAI: oai:DiVA.org:kth-221926DiVA, id: diva2:1178959
Note

QC 20180131

Available from: 2018-01-31 Created: 2018-01-31 Last updated: 2018-02-02Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records BETA

Smith, Kevin

Search in DiVA

By author/editor
Smith, Kevin
By organisation
Computational Science and Technology (CST)Science for Life Laboratory, SciLifeLab
In the same journal
Nature Communications
Medical Biotechnology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 67 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf