Achieving Long-exposure Raman Spectral Quality From Short Acquisitions Using Deep Learning (Conference Abstract)
Abstract
Acquiring high-quality spontaneous Raman spectra requires long acquisition times, limiting the study of fast, dynamic biological processes and live cell imaging. In this work, we apply deep learning to reconstruct high-fidelity spectra from short, noisy measurements.
Fields of Study & Subjects
Spectroscopy Techniques in Biomedical and Chemical Research
Optical Imaging and Spectroscopy Techniques
Image and Signal Denoising Methods
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 27 January 2026
- Language
- EN