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Two main obstacles preventing widespread use of Raman spectroscopy in medical fields are slow acquisition times and poor classification model transferability. We present techniques for improving data acquisition using minimal sampling or other modalities for rapid pre-screening and an area based dimension reduction technique with improved transferability. We illustrate the strengths and weaknesses of these methods in comparison with common practices. Our investigation is based on microplastic samples. While these samples are not biological, they model problems Raman spectroscopy faces in the medical field on a stable time scale, allowing many measurements for detailed analysis of methods.
Eliza Ballantyne,Alex Cruz,Sally Rocks, andDustin Shipp
"Techniques for small target identification and inter-spectrometer transferability modeled on environmental microplastics", Proc. SPIE PC12839, Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry, PC128390F (13 March 2024); https://doi.org/10.1117/12.3001815
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Eliza Ballantyne, Alex Cruz, Sally Rocks, Dustin Shipp, "Techniques for small target identification and inter-spectrometer transferability modeled on environmental microplastics," Proc. SPIE PC12839, Biomedical Vibrational Spectroscopy 2024: Advances in Research and Industry, PC128390F (13 March 2024); https://doi.org/10.1117/12.3001815