Theia Scientific provides real-time image and data analysis automation technology for scientists and engineers who conduct research utilizing optical, electron, and X-ray-based microscopy instrumentation in network- and time-constrained environments.
In this session, Theia’s production team will demonstrate deployment of machine learning (ML) models on an edge computing device for real-time microscopy image analysis using Balena for remote device management and Grafana for application control and visualization. Custom panel plugins and dashboards packaged as a Grafana application are combined with a container-based, multi-service architecture to present scientists and engineers using electron microscopes with a coherent and customizable platform for automated image analysis. In this presentation, you’ll learn about the challenges and solutions to using Grafana for ML-based image analysis in resource- and network-constrained environments through a demonstration and application walkthrough.
- Christopher Field
President, Managing Member, Lead Developer at Theia Scientific
- Mikhail Volkov
Founder/CEO at Volkov Labs