首页|FPGA and computer-vision-based atom tracking technology for scanning probe microscopy
FPGA and computer-vision-based atom tracking technology for scanning probe microscopy
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Atom tracking technology enhanced with innovative algorithms has been implemented in this study,utilizing a comprehensive suite of controllers and software independently developed domestically.Leveraging an on-board field-programmable gate array(FPGA)with a core frequency of 100 MHz,our system facilitates reading and writing opera-tions across 16 channels,performing discrete incremental proportional-integral-derivative(PID)calculations within 3.4 mi-croseconds.Building upon this foundation,gradient and extremum algorithms are further integrated,incorporating circular and spiral scanning modes with a horizontal movement accuracy of 0.38 pm.This integration enhances the real-time performance and significantly increases the accuracy of atom tracking.Atom tracking achieves an equivalent precision of at least 142 pm on a highly oriented pyrolytic graphite(HOPG)surface under room temperature atmospheric condi-tions.Through applying computer vision and image processing algorithms,atom tracking can be used when scanning a large area.The techniques primarily consist of two algorithms:the region of interest(ROI)-based feature matching algo-rithm,which achieves 97.92%accuracy,and the feature description-based matching algorithm,with an impressive 99.99%accuracy.Both implementation approaches have been tested for scanner drift measurements,and these technologies are scalable and applicable in various domains of scanning probe microscopy with broad application prospects in the field of nanoengineering.
atom trackingFPGAcomputer visiondrift measurement
俞风度、刘利、王肃珂、张新彪、雷乐、黄远志、马瑞松、郇庆
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Beijing National Laboratory for Condensed Matter Physics,Institute of Physics,Chinese Academy of Sciences,Beijing 100190,China
University of Chinese Academy of Sciences,Beijing 100049,China
Key Laboratory for Vacuum Physics,University of Chinese Academy of Sciences,Beijing 100190,China
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National Science Fund for Distinguished Young ScholarsSpecial Fund for Research on National Major Research Instruments of the National Natural Science Foundation of ChinaCAS Key Technology Research and Development Team Project