PathologyMap™ contains growing amounts of annotated preclinical histopathology data crowdsourced from the biomedical research community, from human to experimental models like zebrafish, to patient-derived xenografts and organoids (see brochure). Unlike Oncomine for genomics and the Human Protein Atlas for proteomics, PathologyMap™ enables histology-driven data mining for the first time. It can be regarded as the scientific hybrid of a product with the viewing power of Google Maps combined with the collaboration and crowdsourcing of Github.
HistoWiz has developed a scalable and cost-effective IT infrastructure to archive and manage multi-terabyte databases. Unlike current technologies that process the slides into smaller image tiles as a user zooms in and requires the download of additional software or gigabyte-sized files, our novel web viewer allows instant remote access of glass slides on any computer or mobile device like a “virtual microscope.”
We are building a social network to encourage collaboration between scientists, pathologists and patients. PathologyMap™ allows researchers everywhere to access the massive amount of unpublished histopathology data and unstained slides from contributing labs, reducing repetitive research and enabling breakthroughs from aggregate data. We’ve created a highly curated, searchable and annotable database that allows researchers to pinpoint exactly what they’re looking for—as well as see what others have to say about it.
Our database not only allows users to look at different types of cancers comprehensively at a large scale, but also allows for viewing of biomarker localization and tumor-stroma microenvironment at micrometer detail. Thus HistoWiz is opening a door, allowing not only cancer researchers and clinicians, but also medical students, computer programmers and anyone interested in learning more about a certain type of cancer to step inside the field and access the latest discoveries in the cancer research community. This expands the cancer research team thousands of fold and increases the probability of finding a cure.