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• W4294864611 abstract "Rapid autofocusing is essential for many microscopic imaging applications. Existing methods either require complicated hardware implementations or slow z-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." @default.
• W4294864611 created "2022-09-07" @default.
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• W4294864611 date "2023-01-01" @default.
• W4294864611 modified "2023-10-03" @default.
• W4294864611 title "Millisecond autofocusing microscopy using neuromorphic event sensing" @default.
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• W4294864611 doi "https://doi.org/10.1016/j.optlaseng.2022.107247" @default.
• W4294864611 hasPublicationYear "2023" @default.
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