spoQC
spoQC is a modular framework for multimodal quality control (QC) of imaging-based spatially resolved transcriptomics (SRT). It independently evaluates cell segmentation, imaging, and transcript data to identify high-quality regions (HQRs) across entire tissue sections. In addition, spoQC uses Markov random fields (MRFs) to incorporate spatial dependencies and generate spatially refined QC masks.
Details
- License:
- MIT
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 8/17/2026
- Last Updated:
- 8/17/2026
Operations
Documentation
Downloads
- Container fileVersion: 0.0.1https://quay.io/repository/heylf/spoqcdocker/singularity container
- Software packageVersion: 0.0.1https://pypi.org/project/spoqc/pip install