Mouse Liver and Pancreas Confocal Images for Single-Cell Organellomics

82.2 GB of raw multichannel confocal microscopy images from a control mouse liver lobule and pancreas section. The data includes fluorescence labeling for mitochondria, peroxisomes, lipid droplets, and cell boundaries, with additional insulin and glucagon labeling in the pancreas. Raghabendra Adhikari published this dataset on figshare in 2026 to support testing of the sOrganellomics analysis pipeline.

Use Cases

• Testing segmentation algorithms based on multichannel fluorescence images of organelles.
• Extracting spatial features for single-cell analysis based on labeled mitochondria, peroxisomes, and lipid droplets.
• Validating the sOrganellomics pipeline for predicting pathophysiological status from organelle architecture.
• Analyzing spatial relationships between different organelle types within liver and pancreas tissues.

Strengths

• Large-scale image data at 82.2 GB, suitable for training or testing complex models.
• Multichannel fluorescence labeling provides data for four distinct cellular structures (mitochondria, peroxisomes, lipid droplets, cell boundaries).
• Data is directly linked to a specific research study (doi.org/10.1101/2024.12.06.627285), providing context.

Limitations

• Dataset size is 82.2 GB, which may require significant storage and computational resources to process.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

Confocal microscopy imaging of a control mouse liver lobule and pancreas section.

Freshness

Last updated 2026-04-20 19:28:26; freshness should be verified