uPath ER (SP1) image analysis, Breast RUO

uPath image analysis algorithms

An intelligent and insightful digital pathology solution requires image analysis tools that empower pathologists to confidently and objectively assess whole tissue slide images. The uPath ER (SP1) image analysis, Breast RUO algorithm is an adjunctive computer-assisted tool that identifies ER negative and positive tumor cell nuclei within a pathologist annotated viable tumor region in images of formalin-fixed, paraffin-embedded neoplastic breast tissue captured on the VENTANA DP 200 slide scanner.

Roche uPath ER (SP1) image analysis, Breast RUO

• Pathologist-trained deep learning algorithm: Resulting in objective and reproducible scoring of VENTANA DP 200 slide scanner slide images stained with the CONFIRM anti-ER (SP1) Rabbit Monoclonal Primary Antibody
• Leveraging Roche uPath enterprise software for research: Seamless viewing, aligning and syncing functionality, sharing capabilities, and reporting
• Whole slide analysis (WSA): Automated pre-computing of the slide image prior to pathologist assessment, providing fast results for user-defined regions of interest (ROI)
• Quick automated scoring: Quickly calculates ER tumor cell nuclei positivity and stratifies stained cells by stain intensity
• Clear visual overlay: Highlighting tumor cell nuclei with nuclear staining and tumor cell nuclei without nuclear staining for easy reference