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An open-source alignment method for multichannel infinite-conjugate microscopes using a ray transfer matrix analysis

Gemma S Cairns1, Brian R Patton

  • 1Department of Physics and SUPA, University of Strathclyde , Glasgow G4 0NG, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|June 3, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for aligning microscope lenses and cameras using only image magnification. This method simplifies alignment for open-source microscopes, achieving accuracy comparable to the microscope's axial resolution.

Keywords:
open-source microscopyoptical alignmentray transfer matrix analysis

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Area of Science:

  • Optical Engineering
  • Microscopy
  • Open-Source Hardware

Background:

  • Multichannel optical systems enable multiple imaging modes in a single microscope.
  • Traditional alignment methods require extra hardware, posing challenges for compact, open-source designs.

Purpose of the Study:

  • To develop a simplified alignment algorithm for multichannel microscopes.
  • To enable precise lens and camera positioning using only image magnification measurements.
  • To validate the algorithm's effectiveness in open-source microscope systems.

Main Methods:

  • Developed an alignment algorithm based on image magnification measurements.
  • Utilized ray transfer matrix analysis to model optical paths and magnifications.
  • Tested the algorithm on M4All and OpenFlexure open-source microscope platforms.

Main Results:

  • Achieved positioning accuracy comparable to the microscope's axial resolution.
  • Successfully determined objective lens misalignment (working distance) and required adjustments.
  • Validated the algorithm's usability and effectiveness in real-world open-source microscope applications.

Conclusions:

  • The proposed image-based alignment method simplifies optical system setup.
  • This technique is suitable for compact, open-source microscope designs.
  • The open-source implementation facilitates reproducible microscopy hardware development.