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MicroFPGA: An affordable FPGA platform for microscope control.

Joran Deschamps1,2, Christian Kieser3, Philipp Hoess1

  • 1Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany.

Hardwarex
|March 6, 2023
PubMed
Summary
This summary is machine-generated.

Microscope automation using Field Programmable Gate Arrays (FPGAs) offers high-speed control. This study introduces MicroFPGA, an affordable, open-source FPGA platform for advanced, synchronized microscope automation.

Keywords:
(s) CMOS, (scientific) complementary metal–oxide–semiconductorACB, analog conversion boardAOM, acousto-optic modulatorAOTF, acousto-optic tunable filterAOTF-CB, AOTF conversion boardAutomationBOM, bill of materialsEMCCD, electron multiplying charge-coupled deviceElectronicsFPGAFPGA, field-programmable gate arrayGND, groundHDL, hardware description languageI/O, input/outputMicroscopyPWM, pulse-width modulationSCB, signal conversion boardSDB, servo distribution boardSynchronizationTTL, transistor-transistor logicTriggering

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Area of Science:

  • Microscopy and Imaging Technology
  • Computer Engineering
  • Biophysics

Background:

  • Microscope automation is crucial for high-throughput, reproducibility, and observing rare events.
  • Arduino microcontrollers are common but limited in high-speed, parallel processing for advanced microscopy.
  • Field Programmable Gate Arrays (FPGAs) offer parallel processing and high temporal precision ideal for demanding microscopy control.

Purpose of the Study:

  • To develop a versatile and high-performance microscope control platform using an affordable FPGA.
  • To overcome the complexity of traditional FPGA programming for microscopy applications.
  • To provide an open-source solution with comprehensive software and hardware resources.

Main Methods:

  • Utilized an affordable FPGA with an open-source, user-friendly programming language.
  • Developed the MicroFPGA platform for synchronous control of cameras and multiple lasers.
  • Implemented generation of control signals for various microscope components (filter wheels, stages, modulators).

Main Results:

  • Created MicroFPGA, a versatile platform for complex, synchronized microscope automation.
  • Achieved high-speed, parallel processing capabilities exceeding microcontroller limitations.
  • Enabled precise control over cameras, lasers, filter wheels, stages, and other optical elements.

Conclusions:

  • MicroFPGA provides an accessible and powerful FPGA-based solution for advanced microscope automation.
  • The open-source nature and provided libraries (Micro-Manager, Java, Python, LabVIEW) facilitate widespread adoption.
  • This platform enhances microscopy capabilities for research requiring high speed and complex experimental designs.