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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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Open Raman Microscopy (ORM): A Modular Hardware and Software Framework for Accessible Raman Imaging.

Kevin T Uning1,2, Henry Brisebois3, Conor C Horgan4

  • 1London Centre for Nanotechnology, University College London, London, UK.

Biorxiv : the Preprint Server for Biology
|November 24, 2025
PubMed
Summary
This summary is machine-generated.

We present an Open Raman Microscopy (ORM) framework, an accessible, modular system for chemical fingerprinting. This open-source hardware and software solution enhances the reach of Raman microscopy in diverse scientific fields.

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Area of Science:

  • Chemical Imaging
  • Spectroscopy
  • Biomedical Research

Background:

  • Raman microscopy offers label-free, non-destructive chemical fingerprinting.
  • High cost and technical complexity limit accessibility of commercial and custom Raman systems.
  • Growing applications in materials science, environmental analysis, and biomedical research.

Purpose of the Study:

  • Introduce an Open Raman Microscopy (ORM) framework to improve accessibility.
  • Provide a modular, open-source hardware and software solution for Raman imaging.
  • Demonstrate the ORM platform's versatility across different scientific applications.

Main Methods:

  • Developed a modular microscopy platform for Raman imaging.
  • Created the ORM-Integrated Raman and Imaging Software (ORM-IRIS) for component control.
  • Implemented the ORM platform in three institutions for diverse imaging tasks.

Main Results:

  • Demonstrated high-throughput imaging of articular cartilage.
  • Showcased confocal 3D imaging of zebrafish embryos.
  • Successfully imaged gold colloid surfaces for surface-enhanced Raman spectroscopy.

Conclusions:

  • The ORM framework significantly enhances Raman microscopy accessibility.
  • Open-source hardware and software facilitate broader scientific adoption.
  • The platform supports diverse applications from tissue analysis to materials science.