Tissue matching between H&E or IHC slides and HER2 FISH specimens allow for specific targeting of tumor regions with the highest protein expression, optimizing the high-magnification scanning of the FISH slide. Traditionally, this workflow was performed on the same scanning platform in the FISH lab. The present evaluation aims to assess the feasibility of matching a brightfield image acquired on one scanning platform, with a FISH image acquired on a different system, thus enabling the use of the region of interest marked by the pathologist on the H&E or IHC image without requiring a second rescan.

Computer-aided image analyses, when seamlessly integrated into the digital pathology workflow, are gaining in adoption. These methods, combined with manual reading, help standardize the reporting of IHC specimens, especially in cases where the tumor exhibits variable expression intensity. The evaluation aims to assess the usefulness of computer-aided quantitative analysis integrated into the laboratory workflow, focusing on its role as a second opinion for standardizing HER2 IHC scoring in breast cancer cases.

By introducing affordable telepathology platforms, Motic is revolutionizing healthcare in underserved communities like Haiti. The integration of digital pathology systems at HUM has addressed the lack of pathologists and significantly improved the efficiency and accessibility of cancer treatment. Motic’s commitment to making healthcare accessible in underserved regions demonstrates the potential of technology to bridge gaps in medical services and improve outcomes for patients in need.