Digital pathology is getting workflow upgrades aimed at speed and standardization. A new browser-based tool for TMA de-arraying is positioned as a FAIR, low-footprint way to extract data from tissue microarrays, reducing manual labor before downstream analysis. In parallel, AI segmentation models described in the dataset highlight the direction toward foundation-model-assisted pathology interpretation—reducing time-to-insight for research and potentially clinical workflows.