scmorph: a Python package for analysing single-cell morphological profiles
scmorph is a Python package to analyse single-cell data from imaging data of cell populations, specifically morphological profiling experiments, which generate large tabular data.scmorph combines domain-specific methods such as single-cell hit calling and batch correction with the versatile and scalable scverse tools to offer feature selection, dimensionality reduction, and more.Overall, scmorph brings together a host of single-cell morphological profiling methods, making it applicable for a wide range of experimental designs and workflows.
Authors
- Ava Khamseh (ORCID: https://orcid.org/0000-0001-5203-2205)
- Sjoerd Viktor Beentjes (ORCID: https://orcid.org/0000-0002-7998-4262)
- Hugh Warden (ORCID: https://orcid.org/0000-0002-4308-7316)
- Jesko Wagner (ORCID: https://orcid.org/0000-0001-9805-7192)
Institutions
- Maxwell Institute for Mathematical Sciences (GB)
- Institute of Genetics and Cancer (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2025-08-22
- DOI
- https://doi.org/10.21105/joss.08324
- Citations
- 3
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Medical Research Council