FASTMAP: Open-Source Flexible Atlas Segmentation Tool for Multi-Area Processing of Biological Images

Area of Science:

• Neuroscience
• Bioimaging
• Computational Biology

Background:

• Understanding complex systems like the brain requires analyzing interactions between multiple brain regions.
• Microscopic image analysis often necessitates delineating brain regions using atlases.
• Manual plotting of regions is time-intensive and impractical for large datasets.

Purpose of the Study:

• To develop a flexible and user-friendly tool for atlas registration in multi-region brain image analysis.
• To overcome limitations of existing tools regarding tissue type, atlas compatibility, and computational requirements.

Main Methods:

• Development of FASTMAP (Flexible Atlas Segmentation Tool for Multi-Area Processing).
• Demonstration of image registration to custom mouse brain atlas plates.
• Application in detecting regional differences in labels of interest and performing densitometry analyses.

Main Results:

• FASTMAP enables efficient and flexible image registration to custom brain atlases.
• The tool successfully detects differences in regional label counts.
• Densitometry analyses can be conducted using FASTMAP.

Conclusions:

• FASTMAP is an open-source, user-friendly tool that facilitates atlas registration.
• It supports diverse tissue types, unconventional atlas organizations, and various tissue preparations.
• This tool will advance research in multi-region brain analysis and complex system studies.