4.8 Article

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

Journal

NATURE BIOTECHNOLOGY
Volume 34, Issue 11, Pages 1137-1144

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nbt.3713

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Funding

  1. Swiss National Science Foundation
  2. Systems X.ch

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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, wherein vitro observation usually remains the only possible option for uninterrupted long-term, singlecell 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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