Subsampling Schemes for Compressive Nearfield Spectroscopy

\nNearfield spectroscopy is crucial for characterizing micro- and nanostructures and it often requires hyperspectral imaging, where at each spatial point a full spectrum is recorded. Due to its combination with an atomic force microscope, nearfield hyperspectral imaging is serial in nature and results in long acquisition times and stability challenges, also restricting its industrial use. In this work, we employ a subsampling strategy combined with low-rank matrix reconstruction in a commercial nearfield spectroscopy system to significantly shorten measurement acquisition times.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-31
DOI
https://doi.org/10.1051/epjconf/202430902017/pdf
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Subsampling Schemes for Compressive Nearfield Spectroscopy

Springer Link (Chiba Institute of Technology)
Sparse and Compressive Sensing Techniques
article

Subsampling Schemes for Compressive Nearfield Spectroscopy

article en

Abstract

\nNearfield spectroscopy is crucial for characterizing micro- and nanostructures and it often requires hyperspectral imaging, where at each spatial point a full spectrum is recorded. Due to its combination with an atomic force microscope, nearfield hyperspectral imaging is serial in nature and results in long acquisition times and stability challenges, also restricting its industrial use. In this work, we employ a subsampling strategy combined with low-rank matrix reconstruction in a commercial nearfield spectroscopy system to significantly shorten measurement acquisition times.\n

Springer Link (Chiba Institute of Technology)
European Commission, Deutsche Forschungsgemeinschaft, European Metrology Programme for Innovation and Research
Industry, innovation and infrastructure
Openalex Percentile: Top 59%
Sparse and Compressive Sensing Techniques
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