Proscia, a digital pathology cloud system provider based in Baltimore, Maryland, is now offering a new set of cancer research tools on its platform. The Proscia Pathology Cloud allows users to harness the power of parallel computing to process large amounts of tissue samples in a browser-based interface that’s easy to login to and use. Everything being online and in the cloud allows researchers to analyze and share whole slide imagery and corresponding information.
The new tools utilize deep learning neural network techniques to automatically analyze and quantify various tissue characteristics, cells, and biomarkers. Whole data sets can be processed without having to work through individual images, allowing for more efficient research.
Last year we interviewed the CEO of Proscia about the company and its technology.
Here are the tools now available on the Proscia Pathology Cloud:
- Stain Specific Quantification: Extraction of clinically significant features on whole slide images stained with the most common biomarkers, including Ki-67, HER2, and PD-L1, a key biomarker in immunotherapy research, discovery, and drug development. Auto-calibrates to adjust for inter-technician stain variability and sample quality, saving time and improving analysis accuracy.
- Biomarker Agnostic Analysis: Biomarker-agnostic quantification of several dozen features of interest in the study of disease development, status, and progression. Useful for new biomarker development.
- High-Throughput Dataset Manipulation: Manage and analyze datasets at scale, including applications for data integration, creation of control ground-truth to facilitate computed-based cancer region detection, large-scale data migration, and cross-platform integration.
Product page: Pathology Cloud…