Výsledky vyhledávání - "Joshua Butke"

Reliable identification and quantification of neural cells in microscopic images of neurospheres

Autor: Nils Förster, Xiaohui Fan, Farina Bendt, Ellen Fritsche, Melanie Pahl, Joshua Butke, Hagen Eike Keßel, Axel Mosig, Ping-Chung Leung, Jördis Klose, Lu Li, Stefan Masjosthusmann

Publikováno v: Cytometry. Part A : the journal of the International Society for Analytical CytologyREFERENCES. 101(5)

Neurosphere cultures consisting of primary human neural stem/progenitor cells (hNPC) are used for studying the effects of substances on early neurodevelopmental processes in vitro. Differentiating hNPCs migrate and differentiate into radial glia, neu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dae805b9a64e89801614e74228f8691
https://pubmed.ncbi.nlm.nih.gov/34747115

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A representation learning approach for recovering scatter‐corrected spectra from Fourier‐transform infrared spectra of tissue samples

Autor: Klaus Gerwert, Arne P. Raulf, Claus Küpper, Lukas Menzen, Axel Mosig, Frederik Großerueschkamp, Joshua Butke

Publikováno v: Journal of Biophotonics. 14

Infrared spectra obtained from cell or tissue specimen have commonly been observed to involve a significant degree of scattering effects, often Mie scattering, which probably overshadows biochemically relevant spectral information by a nonlinear, non

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb3ec56850d3d1e8988a92670c4f5448
https://doi.org/10.1002/jbio.202000385

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Deep representation learning for domain adaptatable classification of infrared spectral imaging data

Autor: Klaus Gerwert, F. Grosserueschkamp, Arne P. Raulf, Axel Mosig, Claus Kuepper, Joshua Butke

MotivationApplying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56caebca2f08e52c6989110021f19996
https://doi.org/10.1101/584227

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Deep representation learning for domain adaptable classification of infrared spectral imaging data

Autor: Klaus Gerwert, Claus Kuepper, F. Grosserueschkamp, Arne P. Raulf, Axel Mosig, Joshua Butke

Publikováno v: Bioinformatics (Oxford, England). 36(1)

Motivation Applying infrared microscopy in the context of tissue diagnostics heavily relies on computationally preprocessing the infrared pixel spectra that constitute an infrared microscopic image. Existing approaches involve physical models, which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74f8dce3b5faa30cd87e1bc21042b313
https://pubmed.ncbi.nlm.nih.gov/31225858

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