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
Release date
2023-05-09
Updated date
2023-05-29
Errata
2023/05/29 All BDML/BD5 data was updated cause of some format error in BD5
License
CC BY
Kind
Quantitative data
based on Experiment
Number of Datasets
168
( Image datasets: 0,
Quantitative data datasets: 168 )
(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
Yukako Tohsato
, Ritsumeikan University
, Faculty of Information Science and Engineering
, Laboratory of compubational biology