Principal Investigator
Dr. Earu Banoth
Assistant Professor
National Institute of Technology Rourkela
Brief Details
The invention introduces an advanced AI/ML-powered autofocusing system for digital microscopes, leveraging state-of-the-art algorithms like YOLOv5, YOLOv8 with C3TR (convolutional and transformer blocks), and Small Object Detection (SOD) to automate and optimize focus adjustment. This system enhances the detection of tiny objects in complex biological samples under varied imaging conditions. By integrating intelligent image analysis with precise optical tuning, it ensures real-time, high-accuracy focus adjustments. A user-friendly GUI enables easy control and monitoring, while cloud-based data storage supports continuous learning and scalability. This innovation marks a major leap in digital microscopy for research and diagnostics.