Event-based vision in magneto-optic Kerr effect microscopy
Source abstract
Abstract
Magneto-optic Kerr effect (MOKE) microscopy is a widely used technique for observation and characterization of microscopic magnetic structures. While being efficient and easy-to-use, current commercial MOKE microscopes are not superb in time resolution, limited by the frame rate of the camera. Here, we introduce a revolutionary sensor, namely, the event camera, as a convenient add-on to traditional MOKE microscopy and explore the potential applications of event-based vision in research areas using MOKE microscopy. We use the frame stacking method to improve visibility to human eyes in generated slow motion videos. We perform a proof-of-principle feedback control experiment using the event-based vision data and characterize the overall latency of the feedback loop as short as 25 ms with our current prototype. Finally, we discuss the limitations of current event cameras in MOKE microscopy as well.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Electronic and Structural Properties of Oxides
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 1 , Shenzhen, Guangdong 518172, China
University of Science and Technology of China 2 , Hefei, Anhui 230026, China
Department of Electrical and Electronic Engineering, The University of Hong Kong 3 , Hong Kong, China
School of Biomedical Sciences, The University of Hong Kong 4 , Hong Kong, China
Funding
Guangdong Special Support Plan · Shenzhen Peacock Plan · Guangdong Provincial Pearl River Talents Program · National Natural Science Foundation of China · Research Grants Council, University Grants Committee · Innovation and Technology Fund · Guangdong Science and Technology Department
References (30)
Show source-provided references
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