Benchmarking cell segmentation in two Spatialomics platforms with open-source software
Researchers have developed a benchmarking approach to evaluate cell segmentation algorithms used in spatial proteomics. By comparing fourteen methods against pathologist annotations, the study identifies models that perform effectively across different tumor types with minimal fine-tuning.
Why it matters
Improving the accuracy of cell segmentation is critical for advancing cancer research, as it directly impacts the quality of downstream cell phenotyping and interaction network analysis.
Scientific Reports ( 2026 ) Cite this article
We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply.
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