Development and evaluation of new methods for automating experiments with C. elegans based on active vision

The tiny nematode, C. elegans, plays a big role in biological research. But studying their behavior, lifespan, and responses to various stimuli traditionally involves manual observation under a microscope, a tedious and time-consuming process. This project aims to revolutionize this field by developing new methods for automating C. elegans experiments using "active vision."Imagine a system that doesn't just passively observe the worms, but actively adapts its vision to get the best possible view. This is achieved through intelligent lighting control, optimized camera positioning, and cutting-edge image processing techniques. By analyzing these images, the system can automatically count worms, track their movements, and even classify their health status.The benefits are manifold. Automation frees up researchers' time, allowing them to focus on data analysis and interpretation. It also improves data consistency and reduces human error, leading to more reliable results. Moreover, active vision allows for continuous monitoring, capturing subtle changes in behavior that might be missed by manual observation.This technology has broad applications. It can be used to study the effects of drugs, mutations, and environmental factors on C. elegans, accelerating research in aging, neurodegenerative diseases, and other areas. Additionally, it can be adapted to automate experiments with other small model organisms, further expanding its impact.This project is not just about automating tasks; it's about opening a new window into the world of C. elegans. By harnessing the power of active vision, we unlock new possibilities for understanding these tiny creatures and their role in biology and medicine.