Atomic force microscopy(AFM)probe vibration monitoring is essential for achieving accurate nanoscale imaging and reliable signal interpretation.This paper presents a low-noise vibration detection method based on a rea...Atomic force microscopy(AFM)probe vibration monitoring is essential for achieving accurate nanoscale imaging and reliable signal interpretation.This paper presents a low-noise vibration detection method based on a real-time FPGA-LabVIEW homebuilt system.The FPGA receives signals from a quadrant photodiode(QPD),performs analog-to-digital conversion and parallel processing,and integrates cascaded digital filters for noise reduction.A finite impulse response(FIR)low-pass filter extracts the static spot position,while an infinite impulse response(IIR)band-pass filter preserves the probe’s resonance vibrations.Compared with conventional analog detection,the proposed system reduces background noise by approximately 50%(measured as 50.23%),enhances the signal-to-noise ratio(SNR)from 15 dB to 20 dB,and maintains FPGA signal-processing latency below 5μs.This work demonstrates that the proposed real-time FPGA-LabVIEW AFM noise optimization system significantly improves signal-to-noise ratio and real-time performance,providing a practical solution for high-precision,low-noise AFM imaging.展开更多
设计了一套基于FPGA和LabVIEW 2014八通道数据采集系统。该系统具有用户登录、多通道数据同时采集、实时显示、报警记录等各项功能。经验证,整套系统运行简单方便,可以满足工业现场使用,各通道数据采集吞吐速率可达200 k SPS(×103...设计了一套基于FPGA和LabVIEW 2014八通道数据采集系统。该系统具有用户登录、多通道数据同时采集、实时显示、报警记录等各项功能。经验证,整套系统运行简单方便,可以满足工业现场使用,各通道数据采集吞吐速率可达200 k SPS(×103次/S),在-5~+5 V电压输入范围间测量精度高达0.5 m V以内,而且功能便于扩展。该系统可以应用于近代物理研究所加速器运行的温、湿度采集现场。展开更多
基金supported by the National Key R&D Program of China(No.2022YFC2204104)NSFC Projects of International Cooperation and Exchanges(No.62220106012)Key Lab of Quantum Sensing and Precision Measurement,Shanxi(No.201905D121001)。
摘要Atomic force microscopy(AFM)probe vibration monitoring is essential for achieving accurate nanoscale imaging and reliable signal interpretation.This paper presents a low-noise vibration detection method based on a real-time FPGA-LabVIEW homebuilt system.The FPGA receives signals from a quadrant photodiode(QPD),performs analog-to-digital conversion and parallel processing,and integrates cascaded digital filters for noise reduction.A finite impulse response(FIR)low-pass filter extracts the static spot position,while an infinite impulse response(IIR)band-pass filter preserves the probe’s resonance vibrations.Compared with conventional analog detection,the proposed system reduces background noise by approximately 50%(measured as 50.23%),enhances the signal-to-noise ratio(SNR)from 15 dB to 20 dB,and maintains FPGA signal-processing latency below 5μs.This work demonstrates that the proposed real-time FPGA-LabVIEW AFM noise optimization system significantly improves signal-to-noise ratio and real-time performance,providing a practical solution for high-precision,low-noise AFM imaging.
摘要设计了一套基于FPGA和LabVIEW 2014八通道数据采集系统。该系统具有用户登录、多通道数据同时采集、实时显示、报警记录等各项功能。经验证,整套系统运行简单方便,可以满足工业现场使用,各通道数据采集吞吐速率可达200 k SPS(×103次/S),在-5~+5 V电压输入范围间测量精度高达0.5 m V以内,而且功能便于扩展。该系统可以应用于近代物理研究所加速器运行的温、湿度采集现场。