Abstract :
[en] PURPOSE: Digital histology is being increasingly used in research and clinical applications. In parallel new tissue imaging methods (e.g. imaging mass spectrometry) are currently regarded as very promising approaches for better molecular diagnosis in pathology. However, these new data sources are still often underexploited because of the lack of collaborative software to share and correlate information for multimodal analysis. EXPERIMENTAL DESIGN: We followed the open science paradigm to develop new features in our web-based Cytomine software to support next-generation digital pathology bridged to molecular investigations. RESULTS: Our new open-source developments allow to explore whole-slide classical histology with MALDI imaging and to support preprocessing for biomarker discovery using laser microdissection-based microproteomics. CONCLUSIONS AND CLINICAL RELEVANCE: Our updated version of Cytomine is the first open and web-based tool to enable sharing data from classical histology, molecular imaging and cell counting for proteomics preprocessing. It holds good promise to fulfill imminent needs in molecular histopathology. This article is protected by copyright. All rights reserved.
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