Benchmarking Cell Segmentation in Spatialomics Using Open-Source Software

This study presents a benchmarking approach to evaluate cell segmentation algorithms in spatial proteomics platforms, focusing on melanoma and breast cancer tissues. It highlights the importance of accurate cell boundary identification for downstream analyses such as cell phenotyping and interaction networks. The research compares segmentation performance across mass spectrometer and optical spatial omics imaging technologies.

Originally published by gnews