Ptychographic Hyperspectral Microscope for Advanced Metrology and High-Depth Sample Imaging

On the hardware side, the work will focus on enhancing optical components, custom spectral filter designs, and optimized illumination settings. The candidate will take responsibility for the design, fabrication, and characterization of key elements of the system, with an emphasis on precision metrology to ensure reliability and reproducibility. The system should include a well-designed, extensible interface to support additional standard sensor types, as needed by users.

On the software side, the project includes building embedded processing pipelines that reduce raw data at the sensor level. The candidate will develop AI and machine learning algorithms for spectral mixing and unmixing, anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability, these models will also be optimized to run efficiently on edge hardware, with support for cloud-based data storage and remote access when needed.

Real-world test cases will include semiconductor metrology for deep 3D trench inspection, biomedical breast cancer classification in pathology, and aquaculture water monitoring for microorganism detection. These scenarios provide practical environments to validate the system’s performance. A similar architecture can be adapted for use in multiple environmental monitoring sectors, food safety, and industrial inspection.