brain

BraiAn is an open-source suite of tools designed to simplify signal quantification, analysis and visualization of large datasets typically obtained in whole-brain imaging experiments, following registration to an atlas. 

The package consists of two separate modules.

1. BrainAnDetect: A QuPath extension for multi-channel cell segmentation across large and variable datasets. It leverages QuPath's built in algorithms for cell detection, and features additional options for refining signal quantification, including machine-learning-based object classification, region-specific cell segmentation, multiple marker co-expression analysis, and an interface for selective exclusion of damaged tissue portions.
2. BraiAnalyse: A modular Python library for the easy navigation, visualization, and analysis of whole-brain quantification outputs.

Aligning Big Brains & Atlases (ABBA) is a set of software components which allows users to register images of thin serial biological tissue sections, cut in any orientation (coronal, sagittal or horizontal) to atlases, usually brain atlases. ABBA is available as a Fiji plugin for performing registration; a QuPath extension is also available and recommended. Typically, a set of serial sections is defined as a QuPath project, that is registered within Fiji. The registration results can then imported back into QuPath for downstream processing (cell detection and classification, cell counting per region, etc.).

Available atlases include the 3D mouse Allen Brain atlas and the Waxholm Space Atlas of the Sprague Dawley Rat Brain. Depending on your installation method, you may also access all BrainGlobe atlases.

Elastix is a toolbox for rigid and nonrigid registration of (medical) images.

Elastix is based on the ITK library, and provides additional algorithms for image registration. 

The software can be run as a single-line command, making it easy to include in larger scripts or workflows. The user needs to edit a configuration file that contains all relevant parameters for registration: transformation model, metric used to comapre images, optimization algorithm, mutliscale pyramidal representation of images...

Nowadays elastix is accompanied by SimpleElastix, making it available in other languages like C++, Python, Java, R, Ruby, C# and Lua.