
1552-Spatialproteomics for Multiplexed Image Analysis
The paper introduces spatialproteomics, a versatile Python package designed for the comprehensive analysis of highly multiplexed fluorescence imaging data. This toolbox addresses a critical need for an end-to-end workflow, streamlining complex tasks such as cell segmentation, protein quantification, and cell phenotyping. By utilizing an interoperable framework, the software ensures that various data types, from raw images to expression matrices, remain synchronized across shared spatial dimensions. Researchers demonstrated the utility of this tool by analyzing over 3.5 million cells from…
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