DMC-BrainMap is an open-source, end-to-end tool for multi-feature brain mapping in different species

Rigid anatomical mapping is a necessity in current neuroscience research. Here, we introduce DMC-BrainMap, an open-source napari plugin designed as a user-friendly tool for streamlined processing and whole-brain analysis of anatomical data. Its core functionalities include all steps after image acquisition, i.e., preprocessing of images, registration of images to a reference atlas, segmentation of different anatomical features, and data analysis/visualization. DMC-BrainMap can be applied to histological data obtained from a variety of model organisms at different developmental stages to map a diverse range of features. We demonstrate the utility of DMC-BrainMap by mapping and quantifying the location of cell bodies, axonal densities, injection sites, optical fiber and Neuropixels tracts, (single-cell) spatial transcriptomics, as well as neuron morphology data in mice, rats, and zebrafish. By eliminating the need for programming by the user, DMC-BrainMap provides an easy-to-use tool for increased rigor, reproducibility, and data sharing in neuroscientific research involving animal models.

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Publication Details

Journal
Cell Reports Methods
Published
2026-02-01
DOI
https://doi.org/10.1016/j.crmeth.2026.101302
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

DMC-BrainMap is an open-source, end-to-end tool for multi-feature brain mapping in different species

Marie Carlén, Xiao Cao, Felix Jung, Loran Heymans
Cell Reports Methods
Single-cell and spatial transcriptomics
article

DMC-BrainMap is an open-source, end-to-end tool for multi-feature brain mapping in different species

Marie Carlén, Xiao Cao, Felix Jung, Loran Heymans
article en

Abstract

Rigid anatomical mapping is a necessity in current neuroscience research. Here, we introduce DMC-BrainMap, an open-source napari plugin designed as a user-friendly tool for streamlined processing and whole-brain analysis of anatomical data. Its core functionalities include all steps after image acquisition, i.e., preprocessing of images, registration of images to a reference atlas, segmentation of different anatomical features, and data analysis/visualization. DMC-BrainMap can be applied to histological data obtained from a variety of model organisms at different developmental stages to map a diverse range of features. We demonstrate the utility of DMC-BrainMap by mapping and quantifying the location of cell bodies, axonal densities, injection sites, optical fiber and Neuropixels tracts, (single-cell) spatial transcriptomics, as well as neuron morphology data in mice, rats, and zebrafish. By eliminating the need for programming by the user, DMC-BrainMap provides an easy-to-use tool for increased rigor, reproducibility, and data sharing in neuroscientific research involving animal models.

Cell Reports MethodsVol. 6(2)
Karolinska Institutet (SE)
Openalex Percentile: Top 62%
Single-cell and spatial transcriptomics
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