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pro vyhledávání: '"Michael van Ginkel"'
Autor:
Udunna C. Anazodo, Dickson Y. Wong, Jean Théberge, Madeleine Dacey, Janice Gomes, Jarrin D. Penny, Michael van Ginkel, Stefan E. Poirier, Christopher W. McIntyre
Publikováno v:
Journal of the American Society of Nephrology.
Autor:
Mark Walker, Satomi Miwa, Alison Russell, Michael-van Ginkel, Helen R. Blair, David A. Gunn, Alan Heath, Cara Tomas
Publikováno v:
Journal of diabetes and its complications. 35(3)
Pancreatic beta-cell lipo-dysfunction decreases insulin secretion and predisposes to the development of type 2 diabetes. Through targeted Pex11β knockdown and peroxisome depletion, our aim was to investigate the specific contribution of peroxisomes
Akademický článek
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Autor:
Simon Pitts, Michael van Ginkel, Ann-Marie Williamson, Peter J. McDonald, Scott Singleton, Eleanor Y. M. Bonnist, E Ciampi
Publikováno v:
NMR in Biomedicine. 24:135-144
We describe the development of in vivo one-dimensional MRI (profiling) using a GARField (Gradient At Right angles to Field) magnet for the characterisation of side-of-hand human skin. For the first time and in vivo, we report measurements of the NMR
Autor:
Luca Marciani, Phillippa Rayment, Elisabetta Ciampi, Caroline L. Hoad, Michael van Ginkel, Penny A. Gowland, Michael F. Butler, Anthony C. Weaver, Peter Wright
Publikováno v:
Carbohydrate Polymers. 77:306-315
The inhomogeneity of alginate gel beads prepared by an external diffusion method has been characterised using spatially resolved nuclear magnetic resonance or “magnetic resonance imaging” (MRI) and transmission electron microscopy (TEM). The bead
Publikováno v:
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 311:112-123
We report the development of a methodology to study the static and dynamic effects of pressure on the stability of air bubbles to coalescence in process and formulation regimes that are relevant to much of the food industry. In this initial work a mo
Publikováno v:
Luengo Hendriks, Cris L.; van Ginkel, Michael; Verbeek, Piet W.; & van Vliet, Lucas J.(2004). The generalized radon transform: Sampling, accuracy and memory considerations. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/3p74492v
The generalized Radon (or Hough) transform is a well-known tool for detecting parameterized shapes in an image. The Radon transform is a mapping between the image space and a parameter space. The coordinates of a point in the latter correspond to the
Autor:
Rudi G. J. Westendorp, Michael van Ginkel, Sharon D. Catt, P. Eline Slagboom, Anton J. M. de Craen, David A. Gunn, Nicole M. Hudson, Andrea B. Maier, Diana van Heemst, Mariette E. C. Waaijer
Publikováno v:
AGE
AGE, 34(6), 1543-1552
Age
Age, 34(6), 1543-1552. Springer Netherlands
Waaijer, M E C, Gunn, D A, Catt, S D, Van Ginkel, M, De Craen, A J M, Hudson, N M, Van Heemst, D, Slagboom, P E, Westendorp, R G J & Maier, A B 2012, ' Morphometric skin characteristics dependent on chronological and biological age : The Leiden Longevity Study ', Age, vol. 34, no. 6, pp. 1543-1552 . https://doi.org/10.1007/s11357-011-9314-5
AGE, 34(6), 1543-1552
Age
Age, 34(6), 1543-1552. Springer Netherlands
Waaijer, M E C, Gunn, D A, Catt, S D, Van Ginkel, M, De Craen, A J M, Hudson, N M, Van Heemst, D, Slagboom, P E, Westendorp, R G J & Maier, A B 2012, ' Morphometric skin characteristics dependent on chronological and biological age : The Leiden Longevity Study ', Age, vol. 34, no. 6, pp. 1543-1552 . https://doi.org/10.1007/s11357-011-9314-5
The effect of chronological age on skin characteristics is readily visible, and its underlying histological changes have been a field of study for several years. However, the effect of biological age (i.e. a person’s rate of ageing compared to thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c31109a4aa6ed1287b181c29a2f4ef0
http://hdl.handle.net/1887/119328
http://hdl.handle.net/1887/119328
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783540407300
CAIP
CAIP
We measure the sharpness of natural (complex) images using Gaussian models. We first locate lines and edges in the image. We apply Gaussian derivatives at different scales to the lines and edges. This yields a response function, to which we can fit t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0c6e148a61bbe457d5a4bcdc2e2225a
https://doi.org/10.1007/978-3-540-45179-2_19
https://doi.org/10.1007/978-3-540-45179-2_19