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

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

  • Robert Haase - , Clusters of Excellence PoL: Physics of Life, Center for Systems Biology Dresden (CSBD) (Author)
  • Elnaz Fazeli - (Author)
  • David Legland - (Author)
  • Michael Doube - (Author)
  • Siân Culley - (Author)
  • Ilya Belevich - (Author)
  • Eija Jokitalo - (Author)
  • Martin Schorb - (Author)
  • Anna Klemm - (Author)
  • Christian Tischer - (Author)

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.

Details

Original languageEnglish
Pages (from-to)2472-2485
Number of pages14
JournalFEBS letters
Volume596
Issue number19
Publication statusPublished - Oct 2022
Peer-reviewedYes

External IDs

Scopus 85135105071