Ontology highlight
ABSTRACT:
SUBMITTER: Magnussen EA
PROVIDER: S-EPMC9814771 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Magnussen Eirik Almklov EA Zimmermann Boris B Blazhko Uladzislau U Dzurendova Simona S Dupuy-Galet Benjamin B Byrtusova Dana D Muthreich Florian F Tafintseva Valeria V Liland Kristian Hovde KH Tøndel Kristin K Shapaval Volha V Kohler Achim A
Communications chemistry 20221222 1
Infrared spectroscopy delivers abundant information about the chemical composition, as well as the structural and optical properties of intact samples in a non-destructive manner. We present a deep convolutional neural network which exploits all of this information and solves full-wave inverse scattering problems and thereby obtains the 3D optical, structural and chemical properties from infrared spectroscopic measurements of intact micro-samples. The proposed model encodes scatter-distorted inf ...[more]