We propose the Least-Sampling ASM that minimizes and unifies the sampling requirements for all types of input fields. Ultra-fast computations at ultra-large angles (35 degrees) are demonstrated. High-frequency modulation such as diffusers is also considered.
Millisecond Autofocusing Microscopy Using Neuromorphic Event Sensing
Rapid autofocusing is essential for many microscopic imaging applications. Existing methods either require complicated hardware implementations or slow
-stack image acquisition. In this work, we develop a new approach to achieve fast autofocusing using the neuromorphic event sensing technology, which detects the sparse brightness changes asynchronously and responds quickly to the specimen movement. A simple yet efficient autofocusing system is tailored for fast acquisition and processing of the non-redundant event data, allowing for autofocusing in only tens of milliseconds, which is thousands of times faster than current technologies. Experimental results show a substantial performance improvement and capability for biopsy specimen inspections. To the best of our knowledge, this is the first reported work on a neuromorphic methodology for autofocusing microscopy.
2022
Event-Based Automatic Focusing Under Photon-Limited Conditions
Zhou Ge, Haoyu Wei, and Edmund Y Lam
In Computational Optical Sensing and Imaging, Jul 2022