Digitized antimicrobial biomaterials semantic knowledge base

Computer-aided data processing and analysis of biomaterial-associated infections is still in its infancy. Progress is limited by a lack of standardized data descriptions, semantic integration strategies, image processing workflows, and models for realistic material topographies. This project addresses these challenges by developing a minimal information standard and semantic knowledge base for relevant experimental and simulated data, while also implementing image analysis workflows that transform microscopy images into quantitative parameters. Together, these components support the standardized integration, handling, and interpretation of data from antimicrobial biomaterials research and contribute to an image-based systems biology approach for understanding how bacteria adhere to and survive on material surfaces.