Clinical Software Module

Tumor/stroma separation that is effortless, automated, and resilient

Prevent the need for manual outlining of tumor areas, which is time-consuming.input:
output:The automated, robust, and verifiable tumor/stroma separation method known as VirtualDoubleStaining™ is a novel and patent-protected technique. It may be founded on quantitative image analysis that is entirely automated or manual outlining. The method has been thoroughly tested in practical clinical environments at major diagnostic pathology labs across Europe and has been developed and validated in collaboration with the NordiQC.

Virtual Triple Staininginput:
output:The tumor marker slide can also be virtually aligned with two additional slides, forming a sandwich around the tumor marker. Virtual Triple Staining enables the analysis of an additional set of biomarkers, thereby providing a more comprehensive understanding of the tumor microenvironment.input:
output:Self-assurance in your clinical judgmentsinput:
output:Pathologists make critical clinical decisions by evaluating biomarkers. It is widely recognized that the diagnostic reading and interpretation of biomarker expression are characterized by substantial variability between and within readers. In order for biomarkers to be employed as prognostic and predictive markers, it is imperative to mitigate or eliminate this type of variability. The quantification of biomarker expression, in conjunction with image analysis for tumor area detection, significantly enhances both reproducibility and accuracy, as evidenced by data from thousands of tissue samples.