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生物影像分析软件世界的漫游指南。

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

机构信息

DFG Cluster of Excellence "Physics of Life", TU Dresden, Germany.

Center for Systems Biology Dresden, Germany.

出版信息

FEBS Lett. 2022 Oct;596(19):2472-2485. doi: 10.1002/1873-3468.14451. Epub 2022 Jul 29.


DOI:10.1002/1873-3468.14451
PMID:35833863
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.

摘要

现代生命科学研究离不开用于提取、量化和可视化从生物样本显微镜成像数据中获得的信息的计算方法。在过去十年中,我们观察到,针对这些目的的可用软件包数量呈急剧增加趋势。由于可用的图像分析平台、工具集、组件和新兴技术的数量越来越难以跟踪,因此我们对我们在日常工作中使用的软件进行了保守的概述,并深入了解了新兴的新工具。我们就选择最适合用户需求的平台时需要考虑哪些方面提供了指导,包括图像数据类型、团队技能、研究所的基础设施和社区以及时间和预算的可用性等方面。

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