A Hitchhiker's guide through the bio‐image analysis software universe
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
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 language | English |
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Pages (from-to) | 2472-2485 |
Number of pages | 14 |
Journal | FEBS letters |
Volume | 596 |
Issue number | 19 |
Publication status | Published - Oct 2022 |
Peer-reviewed | Yes |
External IDs
Scopus | 85135105071 |
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