<aside> 💭 Our goal at Pathomics is to create simplicity from complexity. We deliver a comprehensive suite of AI-based computer vision in an easy to use interface, the Pathomics Insight Engine, which enables decision makers to extract meaningful insights from rich multiplex datasets
</aside>
<aside> 💭 We are providing this wiki as a community resource in order to provide the open-source community with a single place from which to look up any published open-source code (and associated publications), to promote visibility and encourage discussion and collaboration between groups working in this field. The current iteration is curated, as there are a limited number of login accounts allowed in Notion, but we will migrate at an appropriate time to a more user-editable format, allowing each contributor to maintain and update their own entries to the catalog. In order to input an entry, go to https://bit.ly/PathomicsAddtoWiki and fill in the appropriate information.
</aside>
Tissue type discrimination / ML
Nuclear, cytoplasm, membrane, cell segmentation
Open source packages and commercial solutions
Supervised: Manual gating and associated visualization methods
Unsupervised: Dimensionality reduction, clustering
Spatial relationships between tissue regions (blood vessels, edge of tumor, hypoxia and necrosis
Cellular neighbourhood classification
Statistical and bioinformatics analysis
Registration and alignment with other imaging modalities
Bioinformatic analysis / combination with genomics / other technologies