Design and Validation of a Machine Learning-Based Autofocus System in Laser Nanofabrication

This thesis develops a system to improve the accuracy of laser-based manufacturing used to create tiny, detailed structures. It addresses a key challenge of keeping the laser in perfect focus as it moves across uneven surfaces. By using a camera to monitor the focus and a control system to adjust it in real time, the research ensures more precise and reliable results. This improvement can benefit fields like medicine, electronics and materials science by enabling the creation of better-quality microdevices and components.