HistoWiz present “Development of a cloud-based histology database and assay development for collaborative cancer research” at LeicaBio symposium. HistoWiz is uniquely positioned to bring cutting-edge web technologies and practices to histopathology, enabling researchers to maximize the impact of their work. HistoWiz proposes to build a cancer WSI database on the Cloud, and in parallel to develop a histopathological image tagging web application. These tools will allow for a novel approach to synergistically share, search, and compare histopathology research data.
By using machine learning (ML) algorithms and allowing histology service users to contribute, annotate and compare cancer tissue data across different laboratories and hospitals around the world, PathologyMap will be vital for improving cancer diagnosis, discovering insights to advance cancer research, saving money by reducing repetitive research, and accelerating drug development.
In case collaborating with NanoString, HistoWiz leverages PathologyMapTM to develop the assay of automation of nCounter® technology to detect up to 800 RNA or protein targets on one slide at high sensitivity. DNA oligonucleotides covalently bind to primary antibodies which are specific to proteins of interest. The oligonucleotides are recognized by fluorescent barcodes which are attached to the reporter probe. The reporter probes are imaged and counted to provide a readout of protein expression. HistoWiz uses digital color-coded barcode technology that is based on direct multiplexed measurement of gene expression and offers high levels of precision and sensitivity (< 1 copy per cell). The technology uses a molecular “barcodes” and single molecule imaging to detect and count hundreds of unique transcripts in a single reaction.
PathologyMap is the world’s largest, most comprehensive Cloud-based WSI database for cancer histopathology. Histowiz is capable of leveraging PathologyMap to streamline the IHC optimization process with the standardized protocol and wide range of tissues to validate an assay.