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Related Experiment Video

Updated: Jun 26, 2026

High-Speed Atomic Force Microscopy Imaging of DNA Three-Point-Star Motif Self Assembly Using Photothermal Off-Resonance Tapping
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High-Speed Atomic Force Microscopy Imaging of DNA Three-Point-Star Motif Self Assembly Using Photothermal Off-Resonance Tapping

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Digital control of force microscope cantilevers using a field programmable gate array.

Jonathan P Jacky1, Joseph L Garbini, Matthew Ettus

  • 1Department of Orthopaedics and Sports Medicine, University of Washington, Seattle, Washington 98195-6500, USA. jon@washington.edu

The Review of Scientific Instruments
|January 7, 2009
PubMed
Summary
This summary is machine-generated.

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The AFM Probe
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A new field programmable gate array (FPGA) cantilever controller for magnetic resonance force microscopy (MRFM) utilizes open-source software and a software-defined radio for optimal performance. This adaptable controller enhances experimental flexibility and precision in MRFM investigations.

Area of Science:

  • Physics
  • Materials Science
  • Engineering

Background:

  • Magnetic Resonance Force Microscopy (MRFM) requires precise control of cantilever dynamics.
  • Existing controllers can be complex and expensive, limiting accessibility.
  • Integration of advanced digital signal processing is crucial for optimizing MRFM performance.

Purpose of the Study:

  • To develop a cost-effective and adaptable cantilever controller for MRFM.
  • To leverage field-programmable gate arrays (FPGAs) and open-source software for enhanced functionality.
  • To improve the integration and flexibility of MRFM experimental setups.

Main Methods:

  • Implementation of a digital filter with cascaded second-order sections (biquads) on an FPGA.
  • Utilization of a low-cost software-defined radio (SDR) device for hardware integration.

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  • Development of client-server software architecture for experimental adaptability.
  • Digital signal processing with 12-bit input and 14-bit output resolution.

    • Main Results:

    • The developed controller enables optimal cantilever control through adaptable digital filtering.
    • The system allows real-time adjustment of filter coefficients and multiplexer settings.
    • The client-server software design facilitates easy adaptation to diverse MRFM experiments.
    • Achieved sampling frequencies of 64 MHz and 500 kHz for filter operation.

    Conclusions:

    • The FPGA-based cantilever controller offers a flexible, cost-effective solution for MRFM.
    • The open-source and SDR-based approach enhances the accessibility of advanced MRFM control.
    • This controller design promotes modularity and ease of integration into various experimental setups.