Detail of G2AN_TM16.5_L
Title
BDML file for semantic segmentation data of eight anatomical regions (isocortex, olfactory area, hippocampal formation, cerebral nuclei, interbrain, midbrain, hindbrain, and cerebellum) for images of samples obtained by slicing P7 mouse brain (G2AN_TM16.5_L dataset) that was neurogenic-tagged at E16.5 and was visualized for nucleus-localized beta-galactosidase reporter (L)
Description
semantic segmentation data of eight anatomical regions (isocortex, olfactory area, hippocampal formation, cerebral nuclei, interbrain, midbrain, hindbrain, and cerebellum) for images of samples obtained by slicing P7 mouse brain (G2AN_TM16.5_L dataset) that was neurogenic-tagged at E16.5 and was visualized for nucleus-localized beta-galactosidase reporter (L)
Release, Updated
2023-12-24
License
CC BY
Kind
Quantitative data
based on Experiment
File Formats
BDML/BD5
Data size
686.5 MB
Organism
Mus musculus
(
NCBI:txid10090
)
Strain(s)
C57BL/6 neuroG2^{CreER}(G2A); Tau^{mGFP-nLacZ}
Cell Line
-
Datatype
-
Molecular Function (MF)
Biological Process (BP)
nervous system development
(
GO:0007399
)
Cellular Component (CC)
plasma membrane
(
GO:0005886
)
neuron projection
(
GO:0043005
)
Biological Imaging Method
X scale
1.0 micrometer/pixel
Y scale
1.0 micrometer/pixel
Z scale
20 micrometer/slice
T scale
-
Image Acquisition
Experiment type
-
Microscope type
-
Acquisition mode
-
Contrast method
-
Microscope model
-
Detector model
-
Objective model
-
Filter set
-
Summary of Methods
Under article review.
Related paper(s)
Shimojo,Yuki, Suehara,Kazuki, Hirata,Tatsumi, Tohsato,Yukako (2024) Segmentation of Mouse Brain Slices with Unsupervised Domain Adaptation Considering Cross-sectional Locations, IPSJ Transactions on Bioinformatics, Volume 17, Number , 33-39
Published in 2024
(Abstract) None
Contact
Yukako Tohsato
, Ritsumeikan University
, Faculty of Information Science and Engineering
, Laboratory of compubational biology
Contributors
Yuki Shimojo, Kazuki Suehara, Tatsumi Hirata, Yukako Tohsato
Local ID
G2AN_TM16.5_L
BDML ID
05bbd8d7-cfe5-421d-b3e3-c712c04fc136
BDML/BD5
Database Link
Source