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.
Authors
- S. Kane (ORCID: https://orcid.org/0009-0000-5613-1809)
- Cyril Gobinet (ORCID: https://orcid.org/0000-0002-2702-3697)
- Vincent Vuiblet (ORCID: https://orcid.org/0000-0002-1959-326X)
Institutions
- Centre Hospitalier Universitaire de Reims (FR)
- Université de Reims Champagne-Ardenne (FR)
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
- 0.00