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

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....

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Vydáno v:FEBS letters Ročník 596; číslo 19; s. 2472 - 2485
Hlavní autoři: Haase, Robert, Fazeli, Elnaz, Legland, David, Doube, Michael, Culley, Siân, Belevich, Ilya, Jokitalo, Eija, Schorb, Martin, Klemm, Anna, Tischer, Christian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Wiley 01.10.2022
Témata:
Bioengineering
bioimaging
Bioinformatics
bio‐image analysis
Computer Science
computer software
Computerized Image Processing
Datoriserad bildbehandling
Imaging
Life Sciences
microscopy
Numerical Analysis
open‐source
software
software
bio-image analysis
open-source
ISSN:0014-5793, 1873-3468, 1873-3468
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Popis
Shrnutí: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. In this review, we provide a Hitchhiker's guide through the bio‐image analysis software universe for expert and non‐expert users.
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ISSN:0014-5793
1873-3468
1873-3468
DOI:10.1002/1873-3468.14451