Summary of ssbd-repos-000296

SSBD:database
URL

Name
ssbd-repos-000296 (296-Kawabata-MouseBrainShape)
URL
DOI
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Title
Image processing and manual annotation data of mouse brains with neurogenic-tagged neurons from NeuroGT database
Description

Segmentation results of brain contours and tagged neurons for 168 imaging data sets provided from NeuroGT database and manual annotation data of anatomical regions (isocortex, olfactory area, hippocampal formation, cerebral nuclei, interbrain, midbrain, hindbrain, and cerebellum) for images (131 images for the G2AN_TM11.5_L dataset and 10 images each for the other datasets) targeted mouse brains for evaluation

Submited Date
-
Release Date
2023-05-09
Updated Date
2023-05-29
License
Funding information
-
File formats
Data size
100.2 GB

Organism
Mus musculus
Strain
C57BL/6 Neurod4^{CreER}(D4A); Tau^{mGFP-nLacZ}, C57BL/6 neuroG2^{CreER}(G2A); Tau^{mGFP-nLacZ}, C57BL/6 Neurod1^{CreER}(D1B); Tau^{mGFP-nLacZ}, C57BL/6 Neurog1^{CreER}(G1C); Tau^{mGFP-nLacZ}
Cell Line
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Genes
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Proteins
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GO Molecular Function (MF)
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GO Biological Process (BP)
nervous system development
GO Cellular Component (CC)
neuron projection, plasma membrane
Study Type
-
Imaging Methods
chemically fixed tissue, horseradish peroxidase, cryostat-sectioned tissue, bright-field microscopy

Method Summary
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Related paper(s)

Kawabata, Hiroto, Shimojo, Yuki, Hirata, Tatsumi, Tohsato, Yukako (2023) Large-scale Image Processing and Three-Dimensional Reconstruction of Mouse Brains with Neurogenic-Tagged Neurons, 1-7

Published in Dec. 19, 2023

(Abstract) The NeuroGT (neurogenic tagging) database provides images of whole-brain sections of mice in which neurons that differentiated at a similar time have been genetically tagged. The images of brain sections are displayed in order from the anterior to the posterior end on a web-browser, and the regions containing tagged neurons can be visually confirmed. However, it has been difficult to grasp their location in three-dimensional (3D) space. As a first step toward quantitative analysis of neuronal location, we automatically detected regions of mouse brains containing tagged neurons by using image processing and integrated that information into 3D space. We confirmed that the proposed methods detected brain regions with an average precision of 88% and average recall of 99%. We achieved visualization of 3D reconstructed brain shapes and distribution of tagged neurons in the regions of the brain.

Contact(s)
Yukako Tohsato
Organization(s)
Ritsumeikan University , Faculty of Information Science and Engineering , Laboratory of compubational biology
Image Data Contributors
Quantitative Data Contributors

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