Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Uladzislau Blazhko"'
Autor:
Eirik Almklov Magnussen, Boris Zimmermann, Uladzislau Blazhko, Simona Dzurendova, Benjamin Dupuy–Galet, Dana Byrtusova, Florian Muthreich, Valeria Tafintseva, Kristian Hovde Liland, Kristin Tøndel, Volha Shapaval, Achim Kohler
Publikováno v:
Communications Chemistry, Vol 5, Iss 1, Pp 1-10 (2022)
Infrared spectroscopy-based diffraction tomography has a high potential to be used for 3D reconstruction of intact samples, however, the inverse problem is highly non-linear and remains challenging. Here, the authors solve full-wave inverse scatterin
Externí odkaz:
https://doaj.org/article/3080ac5732c34544bfac96b446b5c76f
Infrared spectroscopy hampered by physical distortions from scattering and instrumental effects. Therefore, it is generally accepted that spectra should be pre-processed before further data analysis. Deep learning community offers augmentation techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8a70d122ca48c4f96f142b0d5915817
https://zenodo.org/record/5518551
https://zenodo.org/record/5518551
Autor:
Kristin Tøndel, Johanne Heitmann Solheim, Simona Dzurendova, Valeria Tafintseva, Christophe Sandt, Uladzislau Blazhko, Kristian Hovde Liland, Ferenc Borondics, Eirik Almklov Magnussen, Volha Shapaval, Achim Kohler
Publikováno v:
Journal of Biophotonics
Infrared spectroscopy of cells and tissues is prone to Mie scattering distortions, which grossly obscure the relevant chemical signals. The state‐of‐the‐art Mie extinction extended multiplicative signal correction (ME‐EMSC) algorithm is a pow
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 215:104350
In this study we present a pre-processing and an augmentation approach based on Extended Multiplicative Signal Correction (EMSC) for removing and modelling replicate variation in spectroscopic data. The EMSC replicate correction method estimates repl