🧪 Problem Statement
Despite being a staple in biology labs, traditional microscopes still require manual focusing and intervention, which can be time-consuming and inconsistent — especially for beginners or in high-throughput environments. Additionally, manually capturing clear images of cells can be a tedious and frustrating process.
Automated microscope systems that offer features like autofocus, cell counting and identification do exist. However, they are often expensive and thus inaccessible to smaller labs or educational settings, creating a barrier for many institutions, particularly those with limited resources, to adopt more advanced microscopy options.
🎯 Vision
We aim to create a low-cost, intelligent microscope system that can:
- Focus on the specimen automatically
- Automatically detect and count cells
- Suggest potential cell types using image analysis and machine learning
By combining smart software with affordable hardware, our system acts as a digital lab assistant — reducing human error, saving time, and making cell analysis faster, easier, and more accessible to researchers and educators.