Ready-to-use, fast, consistent and automated algorithm
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 PR (1E2) image analysis, Breast for research algorithm is an adjunctive computer-assisted tool that identifies PR negative and positive stained tumor cell nuclei within a pathologist-annotated viable tumor region in images of formalin-fixed, paraffin-embedded neoplastic breast tissue scanned on the VENTANA DP 200 slide scanner.
uPath Ki-67 (30-9) image analysis, Breast RUO
Validated for use with the CONFIRM PR (1E2) Antibody for use within Roche uPath enterprise software for research.
Pathologist trained deep learning algorithm for quick calculation of PR tumor cell nuclei positivity.
Actionable assessment of scanned slide images that are objective and reproducible.
On this training page, you'll learn about Roche Digital Pathology, explore digital pathology tools, and learn how they work together to bring unprecedented clarity, speed and reliability to patient care and research.
For Research Use Only. Not for use in diagnostic procedures.