Overview
We鈥檙e building an AI-based system to detect nanoparticles in microscopy images, aimed at accelerating research in material science and nanotech. The core is a custom Variational Autoencoder that spots and localizes particles without manual labels. It鈥檚 built in PyTorch with OpenCV for preprocessing, optimized to run efficiently for fast, scalable analysis of high-res image data.
Community Benefit
Helps researchers save time and reduce error in particle detection by replacing manual counting with an automated, reliable tool. Makes large-scale image analysis more accessible, speeding up discoveries in fields like drug delivery, electronics, and materials development.
Team Members
Sponsored By
Dr. KwangSoo Yang