One-Shot Exploration of Tissue Biomechanics: A Mechatronic Platform with Edge-Processed Multi-Sensory Data Architecture

The grossing phase in anatomic pathology remains a manual, expertise-dependent process, leading to variability and inefficiencies. A novel architecture comprising multisensory mechatronic platform and edge computing is proposed for automated, quantitative tumor assessment prior to histopathological evaluation. Multi-sensory data are processed locally at the edge, enabling real-Time feature extraction and decision-making without reliance on cloud or offline computa-Tion-Thus avoiding potential data privacy concerns and processing delays. A one-shot exploration algorithm is utilized to autonomously identify key regions with distinct biomechanical characteristics. Validation on polymeric phantoms mimicking non-polypoid tumors demonstrates the potential of the proposed system to streamline grossing procedures and standardize assessments.