Cytomine: toward an open and collaborative software platform for digital pathology bridged to molecular investigations
Abstract
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. We propose new features in the web‐based Cytomine software to support next‐generation digital pathology bridged to molecular investigations.
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.
The open science paradigm is followed to develop new features in the web‐based Cytomine software to support next‐generation digital pathology bridged to molecular investigations.
New open‐source developments allow to explore whole‐slide classical histology with Matrix Assisted Laser Desorption Ionisation (MALDI) imaging and to support preprocessing for biomarker discovery using laser microdissection‐based microproteomics.
The 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.
