Techcyte, developer of the Fusion enterprise digital pathology platform, announced on November 6, 2026, that AI-guided macrodissection for next-generation sequencing (NGS) preparation is now available on Techcyte Fusion AP. The workflow uses Aignostics' HETA Tumor Cellularity product to help pathology teams identify tumor-rich regions, assess tumor cellularity, and guide tissue scraping for downstream molecular testing such as NGS.
NGS depends on the quality and tumor content of the tissue submitted for sequencing. Manual macrodissection—selecting the most tumor-rich area on an H&E slide and scraping it for molecular analysis—is a skilled, time-consuming step that can vary between pathologists. An AI-guided workflow that highlights tumor-rich regions and estimates cellularity before scraping could help laboratories standardize this step and reduce the risk of sequencing low-tumor-content samples. By integrating this capability directly into an enterprise digital pathology platform, Techcyte and Aignostics are positioning macrodissection as part of the digital slide review workflow rather than a separate, manual task.
For pathology laboratories evaluating digital pathology platforms, the announcement signals a shift toward integrated molecular workflows. Buyers should note that the macrodissection workflow is specific to the Techcyte Fusion AP platform and the Aignostics HETA Tumor Cellularity product. Laboratories planning NGS pipelines may want to ask vendors how tumor-cellularity assessment and region selection are documented, whether the workflow supports their existing scanner output formats, and how the guided scraping step fits into their laboratory information system and quality procedures. The announcement does not specify regulatory status, scanner compatibility, or clinical performance for the integrated workflow, so those details should be verified directly with the vendors before adoption.
For pathology-AI companies, the news illustrates a growing expectation that AI tools plug into enterprise platforms and address concrete pre-analytical steps such as tissue selection for molecular testing. For OEM/ODM partners supplying slide scanners and imaging systems, the relevant question is how scanner output and control interfaces support third-party AI workflows. HEIDSTAR, a Xiamen-based manufacturer of digital pathology slide scanners and microscope components, supplies brightfield scanners with output formats including TIF, DICOM, SVS, and pyramidal TIFF, and offers a socket communication interface for software integration rather than an API/SDK. These details are worth confirming with any hardware partner when planning an integrated AI-plus-scanner workflow.
The Techcyte–Aignostics announcement points to a broader trend: digital pathology platforms are becoming the integration point for AI tools that support molecular testing preparation, not just slide viewing.
Original source: Pathology News
For digital pathology scanner specifications or OEM/ODM cooperation, contact sales@heidstar.com.