uPath Ki-67 (30-9) image analysis, Breast RUO

uPath image analysis algorithms

An intelligent and advanced digital pathology solution requires image analysis tools that empower pathologists for confident and objective whole slide tissue analysis. The uPath Ki-67 (30-9) image analysis, Breast RUO algorithm is an adjunctive computer-assisted tool that identifies Ki-67-negative and Ki-67-positive stained 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 Ki-67 (30-9) 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-Ki-67 (30-9) 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 Ki-67 tumor cell nuclei positivity
Clear visual overlay: Highlighting tumor cells with nuclear staining and tumor cells without nuclear staining for easy reference

Kontakta oss

Integrated and ready-to-use

Validated for use with the CONFIRM Ki-67 (30-9) Antibody for use within Roche uPath enterprise software for research.

Quick and automated

Pathologist-trained deep learning algorithm for quick calculation of Ki-67 tumor cell nuclei positivity.

Accurate, consistent and confident

Actionable assessment of scanned slide images that are objective and reproducible.

For Research Use Only. Not for use in diagnostic procedures.