HistoPlexer-Ultivue: Multimodal Histological Images for 10 Cancer Samples

A collection of multimodal histological images from the Tumor Profiler Study. It includes whole-slide H&E images, multiplexed immunofluorescence images from Ultivue panels, alignment matrices, exclusion masks, and nuclear segmentation outputs for 10 cancer samples. The dataset was authored by CTPLab-DBE-UniBas and last updated on HuggingFace in June 2025.

Use Cases

• Training models for cancer tissue classification based on whole-slide H&E images.
• Developing algorithms for cell or nuclear segmentation using the provided segmentation outputs.
• Analyzing spatial protein expression patterns based on multiplexed immunofluorescence images.
• Aligning and correlating features across different imaging modalities using the provided alignment matrices.

Strengths

• Includes data for 10 distinct cancer samples, providing a foundation for comparative analysis.
• Offers multiple data modalities per sample, including H&E, immunofluorescence, masks, and segmentation outputs.
• Dataset is associated with the Tumor Profiler Study, suggesting a research-grade origin.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and overall dataset size are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

CTPLab-DBE-UniBas via HuggingFace.

Collection Method

Likely collected as part of the Tumor Profiler Study.

Freshness

Last updated 2025-06-20 15:38:45; freshness should be verified.