Presentation
13 March 2024 Techniques for small target identification and inter-spectrometer transferability modeled on environmental microplastics
Author Affiliations +
Abstract
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.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eliza Ballantyne, Alex Cruz, Sally Rocks, and 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
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KEYWORDS
Raman spectroscopy

Biological samples

Small targets

Spectrometers

Systems modeling

Neural networks

Principal component analysis

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