Using Grafana and machine learning to analyze microscopy images: Inside Theia Scientific's work

At GrafanaCONline 2022, Theia Scientific's Chris Field and Volkov Labs' Mikhail Volkov presented on using Grafana and machine learning for real-time microscopy image analysis, a process traditionally manual and time-consuming. By integrating machine learning, computer vision, and Grafana, they automated workflows to enable real-time analysis, significantly reducing labor costs and delivering rapid results. The Theiascope concept combines edge computing, machine learning, and web technologies, allowing for effective image analysis even in environments without internet access. Grafana was chosen for its robust visualization and customization capabilities, and the project has been deployed at locations like Argonne National Laboratory, where it operates multiple models simultaneously. The platform's features include a customizable interface and real-time export options, enhancing its utility for researchers and scientists.

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