麻豆淫院

Professor Edmund Lam, Dr. Ni Chen and their research team from the Department of Electrical and Electronic Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) have developed a novel uncertainty-aware Fourier ptychography (UA-FP) technology that significantly enhances imaging system stability in complex real-world environments. The research has been in Light: Science & Applications.

Fourier ptychography, widely regarded as a cornerstone of computational imaging, enables wide field-of-view and high-resolution imaging with broad applications ranging from microscopy to X-ray and remote sensing. However, its practical implementation has long been hindered by misalignments, optical aberrations, and poor data quality鈥攃hallenges common across computational imaging fields.

The team's UA-FP framework innovatively incorporates uncertainty parameters into a fully differentiable computational model, enabling simultaneous system uncertainty quantification and correction and significant enhancement of imaging performance鈥攅ven under suboptimal or interference-prone conditions. This advancement represents not only an advance in ptychography but also a transformative development for computational imaging as a whole.

Building on the team's pioneering work in differentiable imaging since 2021, UA-FP leverages differentiable programming鈥攖he foundational principle behind deep learning鈥攖o establish an end-to-end computational framework that seamlessly integrates optical hardware, mathematical modeling, and algorithmic reconstruction.

This unified approach bridges hardware and software while harmonizing theory with practical implementation, fostering deeper interdisciplinary collaboration between optics and computational science. As a result, differentiable imaging has emerged as a key enabler of future innovations, not only in computational imaging but across related technological fields.

Professor Lam, corresponding author of the study, said, "By embedding uncertainties into a differentiable model, we have made Fourier ptychography practical and robust. This approach provides a blueprint for advancing many other computational imaging techniques."

Lead author Dr. Chen added, "This research is the most comprehensive application of differentiable imaging to date. It shows how differentiable programming can unify optics and computation, unlocking new opportunities across science and engineering."

Lam and Chen also published a on differentiable imaging in the journal Advanced Devices & Instrumentation.