A Hitchhiker's guide through the bio-image analysis software universe

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

20 Scopus Citations
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Author(s)

  • Robert Haase
  • Elnaz Fazeli
  • David Legland
  • Siân Culley
  • Ilya Belevich
  • Eija Jokitalo
  • Martin Schorb
  • Anna Klemm
  • Christian Tischer

Detail(s)

Original languageEnglish
Pages (from-to)2472-2485
Journal / PublicationFEBS Letters
Volume596
Issue number19
Online published14 Jul 2022
Publication statusPublished - Oct 2022

Link(s)

Abstract

Modern research in the life sciences is unthinkable without computational methods for extracting, quantifying and visualising information derived from microscopy imaging data of biological samples. In the past decade, we observed a dramatic increase in available software packages for these purposes. As it is increasingly difficult to keep track of the number of available image analysis platforms, tool collections, components and emerging technologies, we provide a conservative overview of software that we use in daily routine and give insights into emerging new tools. We give guidance on which aspects to consider when choosing the platform that best suits the user's needs, including aspects such as image data type, skills of the team, infrastructure and community at the institute and availability of time and budget.

Research Area(s)

  • bio-image analysis, open-source, software

Citation Format(s)

A Hitchhiker's guide through the bio-image analysis software universe. / Haase, Robert; Fazeli, Elnaz; Legland, David et al.
In: FEBS Letters, Vol. 596, No. 19, 10.2022, p. 2472-2485.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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