Digital Pathology Solutions by RSIP Vision
Biomarker Quantification Analysis
Tissue based biomarkers are essential for drug development, companion diagnostics, patient stratification, target validation and for assessing a biological response to treatment. At RSIP Vision we have an expert team of AI developers with experience developing solutions across multiple disease areas and assay types. Data generated from these solutions enables our clients to make key drug development and clinical decisions in projects ranging from exploratory work to clinical assays.
H&E Analysis Using AI
New AI technologies by RSIP Vision are very powerful in the analysis of tissues and histopathology. With the use of deep learning, we have been able to achieve meaningful results to several challenging tasks ranging from multiple assay and tissue types. In oncology it allows for the correct segmentation of tumor vs stroma regions as well as correct quantification of specific immune cells. These results have facilitated drug development at many stages and provided additional insights into tissue. Read More...
Multiplex FISH with AI
Multispectral fluoroscopy is one of the most useful techniques for tissue analysis; this is true also in biopsies. RSIP Vision has developed strong tools to enable cell separation and dot counting for use in this set of analysis.
Detecting Mitosis Using Deep Neural Networks
Trajectory Tracking of Fluorescent Tags
RSIP Vision’s modules that detect and classify different pathologies are very helpful in Mohs surgeries, during which lab work is done in parallel with the procedure itself. Fast and reliable information is provided to assess the status of the tissue and decide at once whether it is necessary to remove more cancerous cells or all remaining spared cells are healthy and no additional intervention is needed.