Related Experiment Video
Updated: Dec 15, 2025
09:55
Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex
Published on: September 5, 2018
8.7K
A three-dimensional, population-based average of the C57BL/6 mouse brain from DAPI-stained coronal slices
Frederik Filip Stæger1, Kristian Nygaard Mortensen1, Malthe Skytte Nordentoft Nielsen1
1Center for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen, Denmark.
Scientific Data
|July 15, 2020
Summary
Researchers created the first population-based average atlas of the C57BL/6 mouse brain using DAPI fluorescence imaging. This atlas and accompanying software enable automated analysis of brain slices, reducing operator bias in neuroscience research.
Area of Science:
- Neuroscience
- Biomedical Imaging
- Computational Biology
Background:
- Fluorescence imaging of brain slices is crucial for high-resolution mapping of biological molecules.
- Manual quantification of signals in specific brain regions introduces operator bias.
- Automated segmentation requires accurate, average atlases for reliable analysis.
Purpose of the Study:
- To develop the first population-based average atlas of the C57BL/6 mouse brain using DAPI staining.
- To provide an automated segmentation and spatial normalization pipeline for novel brain slices.
- To facilitate improved and validated methods for automated brain slice analysis.
Main Methods:
- Construction of a 3D average mouse brain atlas from DAPI-stained coronal sections.
- Development of a software pipeline for automatic segmentation and spatial normalization.
- Reconstruction of individual brain volumes and native coronal slices.
Main Results:
- The first population-based average atlas of the C57BL/6 mouse brain in DAPI modality.
- A comprehensive dataset including the average template, individual volumes, and native slices.
- An accompanying automated spatial normalization and segmentation pipeline.
Conclusions:
- The developed atlas and software provide a valuable resource for the neuroscience community.
- Automated analysis of brain slices can overcome limitations of manual quantification.
- This resource will aid in improving and validating automated brain slice analysis methods.
