Protocol for whole-slide image analysis of human multiplexed tumor tissues using QuPath and R.

Amelie Franken, Michel Bila, Diether Lambrechts

Journal: STAR protocols 2024;5(4):103270

PMID: 39453815

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Abstract

The spatial organization of cells within tissues aids in understanding physiological and pathological processes, as well as elucidating the mechanisms of action underlying treatments. We present a protocol for analyzing image-based spatial proteomics data. To illustrate, we focus on whole-slide images of human multiplexed tumor tissues acquired using the PhenoCycler-Fusion 2.0 platform from Akoya Biosciences. We describe steps for cell segmentation, cell phenotyping, intercellular distance calculation, and data visualization. For complete details on the use and execution of this protocol, please refer to Franken et al..

Address: Laboratory for Translational Genetics, VIB-KU Leuven Center for Cancer Biology, 3000 Leuven, Belgium. Electronic address: [email protected].; Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, UZ Leuven, 3000 Leuven, Belgium.; Laboratory for Translational Genetics, VIB-KU Leuven Center for Cancer Biology, 3000 Leuven, Belgium. Electronic address: [email protected].

DOI: 10.1016/j.xpro.2024.103270

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MeSH Terms: Humans, Image Processing, Computer-Assisted, Neoplasms, Proteomics, Software