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Challenges in long-term imaging and quantification of single-cell dynamics

Continuous analysis of single cells, over several cell divisions and for up to weeks at a time, is crucial to deciphering rare, dynamic and heterogeneous cell responses, which would otherwise be missed by population or single-cell snapshot analysis. Although the field of long-term single-cell imagin... Full description

Journal Title: Nature biotechnology 2016-11-08, Vol.34 (11), p.1137-1144
Main Author: Skylaki, Stavroula
Other Authors: Hilsenbeck, Oliver , Schroeder, Timm
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: United States: Nature Publishing Group
ID: ISSN: 1087-0156
Link: https://www.ncbi.nlm.nih.gov/pubmed/27824848
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title: Challenges in long-term imaging and quantification of single-cell dynamics
format: Article
creator:
  • Skylaki, Stavroula
  • Hilsenbeck, Oliver
  • Schroeder, Timm
subjects:
  • Animals
  • Bioinformatics
  • Cell Physiological Phenomena - physiology
  • Cell research
  • Cell Tracking - methods
  • Cellular biology
  • Humans
  • Image Enhancement - methods
  • Longitudinal Studies
  • Methods
  • Microscopy - methods
  • Molecular Imaging - methods
  • Pattern Recognition, Automated - methods
  • Scientific imaging
  • Software
ispartof: Nature biotechnology, 2016-11-08, Vol.34 (11), p.1137-1144
description: Continuous analysis of single cells, over several cell divisions and for up to weeks at a time, is crucial to deciphering rare, dynamic and heterogeneous cell responses, which would otherwise be missed by population or single-cell snapshot analysis. Although the field of long-term single-cell imaging, tracking and analysis is constantly advancing, several technical challenges continue to hinder wider implementation of this important approach. This is a particular problem for mammalian cells, where in vitro observation usually remains the only possible option for uninterrupted long-term, single-cell observation. Efforts must focus not only on identifying and maintaining culture conditions that support normal cellular behavior while allowing high-resolution imaging over time, but also on developing computational methods that enable semiautomatic analysis of the data. Solutions in microscopy hard- and software, computer vision and specialized theoretical methods for analysis of dynamic single-cell data will enable important discoveries in biology and beyond.
language: eng
source:
identifier: ISSN: 1087-0156
fulltext: no_fulltext
issn:
  • 1087-0156
  • 1546-1696
url: Link


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subjectAnimals ; Bioinformatics ; Cell Physiological Phenomena - physiology ; Cell research ; Cell Tracking - methods ; Cellular biology ; Humans ; Image Enhancement - methods ; Longitudinal Studies ; Methods ; Microscopy - methods ; Molecular Imaging - methods ; Pattern Recognition, Automated - methods ; Scientific imaging ; Software
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abstractContinuous analysis of single cells, over several cell divisions and for up to weeks at a time, is crucial to deciphering rare, dynamic and heterogeneous cell responses, which would otherwise be missed by population or single-cell snapshot analysis. Although the field of long-term single-cell imaging, tracking and analysis is constantly advancing, several technical challenges continue to hinder wider implementation of this important approach. This is a particular problem for mammalian cells, where in vitro observation usually remains the only possible option for uninterrupted long-term, single-cell observation. Efforts must focus not only on identifying and maintaining culture conditions that support normal cellular behavior while allowing high-resolution imaging over time, but also on developing computational methods that enable semiautomatic analysis of the data. Solutions in microscopy hard- and software, computer vision and specialized theoretical methods for analysis of dynamic single-cell data will enable important discoveries in biology and beyond.
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