Open Raman Microscopy (ORM): A Modular Hardware and Software Framework for Accessible Raman Imaging
Kevin Theodric UningiD, Henry Brisebois, Conor C. HorganiD, Magnus JenseniD, Yue YuaniD, Shiyue LiuiD, Elzbieta StepulaiD, Steven VanuytseliD, Vishal KumariD, Stephen GoldrickiD, Robert D. KnightiD, Martin A.B. HedegaardiD, Michael B. AlbroiD, Mads S. BergholtiD, Michael R. ThomasiD
Abstract
Raman microscopy is a label-free, non-destructive imaging tool for spatially resolved chemical fingerprinting. Its powerful ability to reveal molecular information has driven rapid growth in applications across fields as varied as materials science, environmental analysis, and biomedical research. Despite its versatility, the accessibility of Raman microscopy is limited by expensive commercial setups and the technical barriers faced by researchers attempting to build custom systems. Here, we introduce an Open Raman Microscopy (ORM) framework based on a readily accessible modular microscopy platform. The ORM platform provides configurations for both high-throughput imaging and confocal imaging. We developed a dedicated python-based control and acquisition software, the ORM-Integrated Raman and Imaging Software (ORM-IRIS) designed to accommodate modular integration and control of components, including the laser source, spectrometer, and translational stages. Implemented across three institutions we demonstrate the ORM platform for high-throughput imaging of articular cartilage tissue, confocal three-dimensional imaging of a zebrafish embryo, and imaging of gold colloid decorated surfaces for surface enhanced Raman spectroscopy. Together, this open-source hardware and software framework enhances the accessibility of Raman microscopy across an expanding range of scientific applications.
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