Randomized trial develops modular bioimage analysis resources for life scientists, facilitating consistent training approaches.
Modern microscopy enables us to measure structural and dynamical properties of many biological processes and is therefore an indispensable research tool. However, the amount and complexity of the produced imaging data is steadily increasing. Thus, handling the data as well as reproducibly and automatically extracting accurate scientific information require dedicated 'bioimage analysis' expertise. To facilitate the dissemination of this ubiquitously required expertise we developed an open-access bioimage analysis training resource. The resource is designed to help trainers to design and run courses on bioimage analysis for life scientists. The material is modular where each module covers one concise topic and provides corresponding activities using microscopy images from biological samples. The activities can be executed using various popular software packages (e.g. ImageJ, Python). The material is hosted on a public software repository allowing the bioimaging community to readily contribute new training modules or improve existing modules. Within the last 3 years, the material has been used by several trainers in numerous courses and continuously improved.
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Tischer et al. (2026) studied this question.
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