You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

Dataset Name: Mouse Brain SLAM (simultaneous label-free autofluorescence-multiharmonic microscopy) Images

This dataset contains multimodal microscopy imaging data, including 4-channel SLAM images, THG anisotropy data, and corresponding regional annotations/label maps.

πŸ“‚ Data Hierarchy & Naming Convention

Each dataset folder follows the naming convention: [mouse model]_[orientation]_[age]_[acquisition date]

Folder Contents

For every acquisition, the following files are provided:

File Name Description
dslam_4channel.tif Raw Data: 4-channel SLAM image.
dslam_4channel.png Preview: RGB visualization of the 4-channel SLAM data.
thg_polarization.tif Raw Data: Third Harmonic Generation (THG) anisotropy/polarization image.
dslam_4channel_upsampled_label_map.npy Annotation: High-resolution spatial label map (NumPy array).
dslam_4channel_upsampled_label_map.json Metadata: Annotation parameters and label mapping information.
dslam_4channel_upsampled_label_map.png Visual Reference: Color-coded version of the label map.

Regional Masks Subdirectory (/regional_masks)

Specific regions of interest (ROIs) are separated into individual mask files:

  • region_mask_metadata.json: Metadata defining the regions and acquisition parameters.
  • mask_[region_name].npy: Binary/categorical spatial data for a specific region.
  • mask_[region_name].tif: High-bit depth image representation of the specific regional mask.

πŸ›  Usage & Loading

Prerequisites

Downloads last month
8