SSBD:database

Project

Dataset ID

NG2BChR2_23_GFPSMAa2_20X_cortex

Kind

Image data

Title

Confocal immunohistochemistry images of SMA/laminin (alpha)2 mouse vessel-type classification for machine learning.

Description

Confocal immunohistochemical images of mouse brain to develop machine learning model for classifying the brain vessels into arterioles, capillaries, and venules. Although the authors stained brain sections for GFP/smooth muscle actin (SMA)/laminin alpha 2, they are not the specific markers for the three vessels. From the immunnostaining patterns, they manually annotated the vessels as arterioles, capillaries, or venules. And the annotated images were applied to machine learning. Anti-GFP antibody was used to stain ChR2-EYFP-expressing cells that was specifically expressed in Nerve/glial antigen 2-positive cells.セツメイ

Folder Name

NG2BChR2_23_GFPSMAa2_20X_cortex

File Format

.oir

File Size

192MB 210MB 108MB

File Separation Method

3 independent data

Figure Number

-

Dimensions

1024x1024x32x3x1 1024x1024x35x3x1 1024x1024x18x3x1

X Scale

0.621 micrometer

Y Scale

0.621 micrometer

Z Scale

0.960 micrometer

T Scale

-

Channel

3 channel

Quantitative Data

-

Description

The fixed brain slice from ChR2-GFP mouse (Nerve/glial antigen 2, glia-specific channelrhodopsin2-GFP expressing mouse).

Organism

Strain

-

Cell

-

Cell line

-

MeSH

Intrinsic Variable

-

Extrinsic Variable

-

Anatomical Entity

-

UBERON

Biological Process

Cellular Component

Molecular Function

MeSH Anatomy

MeSH BP

MeSH CC

MeSH MF

Imaging Method

Detection Method

-

Visualization Method

primary antibody plus labeled secondary antibody

Illumination Method

-

Source of Contrast

-

Imaged Parameter

fluorescence emission

Sample Preparation Method

sectioned tissue

MeSH

Body

-

Module

-

Light Source

-

Detector

-

Objective

-

Filter Set

-

Dichroic

-