Reduction of Acquisition Time in FTIR Spectroscopy via Spectral Super-Resolution by Deep Learning

-means clustering. Our spectral super-resolution approach offers an efficient solution to overcome the limitations of IR image acquisition time, enabling a reduction in an acquisition time of up to 87.5% while preserving similar spectral quality. These advancements pave the way for faster infrared spectral imaging acquisitions while preserving the molecular information contained in high-resolution spectra, which is an important step toward future clinical applications.

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Publication Details

Journal
Analytical Chemistry
Published
2026-04-16
DOI
https://doi.org/10.1021/acs.analchem.5c07660
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
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article

Reduction of Acquisition Time in FTIR Spectroscopy via Spectral Super-Resolution by Deep Learning

S. Kane, Cyril Gobinet, Vincent Vuiblet
Analytical Chemistry
Spectroscopy Techniques in Biomedical and Chemical Research
article

Reduction of Acquisition Time in FTIR Spectroscopy via Spectral Super-Resolution by Deep Learning

S. Kane, Cyril Gobinet, Vincent Vuiblet
article en

Abstract

-means clustering. Our spectral super-resolution approach offers an efficient solution to overcome the limitations of IR image acquisition time, enabling a reduction in an acquisition time of up to 87.5% while preserving similar spectral quality. These advancements pave the way for faster infrared spectral imaging acquisitions while preserving the molecular information contained in high-resolution spectra, which is an important step toward future clinical applications.

Analytical ChemistryVol. 98(16)
Centre Hospitalier Universitaire de Reims (FR), Université de Reims Champagne-Ardenne (FR)
Industry, innovation and infrastructure, Partnerships for the goals
Openalex Percentile: Top 15%
Spectroscopy Techniques in Biomedical and Chemical Research
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