MIBI-TOF: Multiplexed Ion Beam Imaging of Archival Human Tissue with Cell Segmentation

Multiplexed Ion Beam Imaging by Time-of-Flight (MIBI-TOF) data from archival human tissue microarray cores. The dataset includes single-channel TIFF images, cell segmentation outputs from the Mesmer algorithm, and associated tabular data for analysis. It was contributed by Candace C. Liu from Stanford University and is hosted on paperswithcode.

Use Cases

• Training cell segmentation models based on the provided Mesmer segmentation outputs.
• Analyzing multiplexed protein expression patterns based on the single-channel MIBI-TOF images.
• Conducting regression analysis linking imaging and immunohistochemistry data using the provided data tables.
• Validating spatial proteomics analysis pipelines on archival human tissue samples.

Strengths

• Includes processed data outputs from the Mesmer segmentation algorithm, a published method from Nature Biotechnology 2021.
• Provides multiple linked data modalities: raw images, segmentation masks, and tabular data for integrated analysis.
• Data is organized with a consistent naming convention linking slides, stains, and tissue core IDs.

Limitations

• Row count and total file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Stanford University

Collection Method

Multiplexed Ion Beam Imaging by Time-of-Flight (MIBI-TOF) applied to archival human tissue microarray cores.