Year: 2024
Type: article
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
Institution: Physikalisch-Technische Bundesanstalt
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6959330997
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