An intelligent and advanced digital pathology solution requires artificial intelligence-based image analysis tools that empower pathologists to confidently and objectively assess whole tissue slide images.
The uPath ER (SP1) image analysis, Breast algorithm is an adjunctive computer-assisted tool that identifies ER positive and negative tumor cells within a pathologist annotated viable tumor region in images of formalin-fixed, paraffin-embedded neoplastic breast tissue.
Unlock the power of an integrated solution that automates key tasks, offering accuracy, consistency and confidence in results.
Validated for use with the CONFIRM ER (SP1) Antibody and Roche uPath enterprise software
Pathologist-trained deep learning algorithm quickly identifies ER tumor cell positivity.
Actionable assessment of slide images that are objective and reproducible.
The Roche Digital Pathology solution comprises high-performance hardware, software and uPath whole slide image analysis algorithms, and works in integrated harmony with the full Roche diagnostic portfolio for an end-to-end experience that enhances pathology workflows.
Registration Status
*For Research Use Only. Not for use in diagnostic procedures.
Refer to the product-specific labeling for the regulatory status of the scanner and uPath. When Research Use Only products are used with IVD products, the integrated workflow will be for Research Use Only and cannot be used for diagnostic procedures.
