uPath PD-L1 (SP263) image analysis, NSCLC RUO

Ready-to-use, fast, consistent and automated algorithm

uPath image analysis algorithms

An intelligent and advanced digital pathology solution requires image analysis tools that empower research pathologists to confidently and objectively assess whole tissue slide images. The uPath PD-L1 (SP263) image analysis, NSCLC RUO algorithm aids pathologists in the identification of tumor cells with PD-L1 membrane staining, in formalin-fixed, paraffin-embedded NSCLC tissue specimens.

Roche uPath PD-L1 (SP263) image analysis, NSCLC features

Pathologist-trained artificial intelligence algorithm: Resulting in objective and reproducible scoring of VENTANA DP 200 slide scanner slide images stained with the VENTANA PD-L1 (SP263) Assay
Leveraging Roche uPath enterprise software: 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 PD-L1 (SP263) tumor cell staining positivity
Clear visual overlay: Highlighting positively and negatively stained tumor cells for easy reference

Integrated and ready-to-use

Validated on the VENTANA PD-L1 (SP263) Assay, for use within Roche uPath enterprise software.

Quick and automated

Pathologist-trained artificial intelligence algorithm for quick image analysis.

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.