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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Marine & Wildlife Sign in to save

uFTIR: An R package to process hyperspectral images of environmental samples captured with μ FTIR microscopes

SoftwareX 2021 10 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Fabio Corradini, Nicolas Bériot, Esperanza Huerta Lwanga, Violette Geissen

Summary

This paper introduces uFTIR, an R software package that automates the analysis of microscope images used to detect and identify microplastics in environmental samples. The tool uses spectral pattern matching to classify particles and can process large datasets efficiently. Standardized, automated analysis tools like this are important for making microplastic research more consistent and comparable across studies.

uFTIR is an R package that implements an automatic approach to analyze μFTIR hyperspectral images with a strong focus on microplastic recognition in environmental samples. The package performs image classification using a Spectral Angle Mapper algorithm in a library search approach. It interacts with other R packages used for spectral analysis. It exports its output as raster and vector files that can be post-processed in common Geographical Information Systems software. The package was designed around the principles of modular development, compatibility, and open-source software. We hope our contribution will serve researchers to size the occurrence of microplastics in ecosystems.

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