Modular training resources for bioimage analysis

Area of Science:

• Life Sciences
• Microscopy
• Bioimage Analysis

Background:

• Modern microscopy generates vast and complex imaging data.
• Extracting accurate scientific information requires specialized bioimage analysis expertise.
• There is a need for accessible training resources in bioimage analysis for life scientists.

Purpose of the Study:

• To develop and provide an open-access training resource for bioimage analysis.
• To assist trainers in designing and conducting bioimage analysis courses for life scientists.
• To facilitate the dissemination of essential bioimage analysis skills.

Main Methods:

• Developed a modular, open-access training resource.
• Included concise modules covering specific bioimage analysis topics.
• Provided activities using real microscopy images and popular software (ImageJ, Python).
• Hosted the resource on a public software repository for community contributions.

Main Results:

• The resource is modular, with each module focusing on a specific topic.
• Activities are designed for various popular software packages like ImageJ and Python.
• The training material is hosted on a public repository, encouraging community input.
• The resource has been utilized in numerous courses over the past three years and is continuously improved.

Conclusions:

• The developed resource effectively supports the training of life scientists in bioimage analysis.
• The open-access and modular nature of the resource promotes widespread adoption and continuous improvement.
• Community contributions to the public repository enhance the resource's utility and relevance.