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Sebastian Allner

Showing results (1-10 of 16) with videos related to

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Scientific Reports|April 14, 2019
Metric-guided regularisation parameter selection for statistical iterative reconstruction in computed tomographySebastian Allner, Alex Gustschin, Andreas Fehringer, et al.
Scientific Reports|April 20, 2019
Author Correction: Nucleus-specific X-ray stain for 3D virtual histologyMark Müller, Melanie A Kimm, Simone Ferstl, et al.
Scientific Reports|December 16, 2018
Nucleus-specific X-ray stain for 3D virtual histologyMark Müller, Melanie A Kimm, Simone Ferstl, et al.
Journal of Visualized Experiments : Jove|November 12, 2019
3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed TomographyMadleen Busse, Mark Müller, Melanie A Kimm, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 22, 2018
Three-dimensional virtual histology enabled through cytoplasm-specific X-ray stain for microscopic and nanoscopic computed tomographyMadleen Busse, Mark Müller, Melanie A Kimm, et al.
Optics Express|January 22, 2015
Regularized iterative integration combined with non-linear diffusion filtering for phase-contrast x-ray computed tomographyKarin Burger, Thomas Koehler, Michael Chabior, et al.
Scientific Reports|March 5, 2020
Nanoscopic X-ray tomography for correlative microscopy of a small meiofaunal sea-cucumberSimone Ferstl, Thomas Schwaha, Bernhard Ruthensteiner, et al.
Zoological Letters|May 22, 2019
X-ray imaging of a water bear offers a new look at tardigrade internal anatomyVladimir Gross, Mark Müller, Lorenz Hehn, et al.
Scientific Reports|December 14, 2017
Dual-energy micro-CT for quantifying the time-course and staining characteristics of ex-vivo animal organs treated with iodine- and gadolinium-based contrast agentsJuliana Martins de Souza E Silva, Julian Utsch, Melanie A Kimm, et al.
Scientific Reports|September 28, 2022
Quantifying wood decomposition by insects and fungi using computed tomography scanning and machine learningSebastian Seibold, Jörg Müller, Sebastian Allner, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Scientific Reports|April 14, 2019
Metric-guided regularisation parameter selection for statistical iterative reconstruction in computed tomographySebastian Allner, Alex Gustschin, Andreas Fehringer, et al.
Scientific Reports|April 20, 2019
Author Correction: Nucleus-specific X-ray stain for 3D virtual histologyMark Müller, Melanie A Kimm, Simone Ferstl, et al.
Scientific Reports|December 16, 2018
Nucleus-specific X-ray stain for 3D virtual histologyMark Müller, Melanie A Kimm, Simone Ferstl, et al.
Journal of Visualized Experiments : Jove|November 12, 2019
3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed TomographyMadleen Busse, Mark Müller, Melanie A Kimm, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 22, 2018
Three-dimensional virtual histology enabled through cytoplasm-specific X-ray stain for microscopic and nanoscopic computed tomographyMadleen Busse, Mark Müller, Melanie A Kimm, et al.
Optics Express|January 22, 2015
Regularized iterative integration combined with non-linear diffusion filtering for phase-contrast x-ray computed tomographyKarin Burger, Thomas Koehler, Michael Chabior, et al.
Scientific Reports|March 5, 2020
Nanoscopic X-ray tomography for correlative microscopy of a small meiofaunal sea-cucumberSimone Ferstl, Thomas Schwaha, Bernhard Ruthensteiner, et al.
Zoological Letters|May 22, 2019
X-ray imaging of a water bear offers a new look at tardigrade internal anatomyVladimir Gross, Mark Müller, Lorenz Hehn, et al.
Scientific Reports|December 14, 2017
Dual-energy micro-CT for quantifying the time-course and staining characteristics of ex-vivo animal organs treated with iodine- and gadolinium-based contrast agentsJuliana Martins de Souza E Silva, Julian Utsch, Melanie A Kimm, et al.
Scientific Reports|September 28, 2022
Quantifying wood decomposition by insects and fungi using computed tomography scanning and machine learningSebastian Seibold, Jörg Müller, Sebastian Allner, et al.
Pageof 2