Patrick Trampert
Overview
Explore the profile of Patrick Trampert including associated specialties, affiliations and a list of published articles.
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13
Citations
147
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Recent Articles
1.
Schlinkmann C, Roland M, Wolff C, Trampert P, Slusallek P, Diebels S, et al.
PLoS One
. 2020 Oct;
15(10):e0240813.
PMID: 33125404
In this study, we present a novel strategy to the method of finite elements (FEM) of linear elastic problems of very high resolution on graphic processing units (GPU). The approach...
2.
Dahmke I, Trampert P, Weinberg F, Mostajeran Z, Lautenschlager F, de Jonge N
Front Cell Dev Biol
. 2020 Jul;
8:521.
PMID: 32714928
Epidermal growth factor receptor 2 (ErbB2) is found overexpressed in several cancers, such as gastric, and breast cancer, and is, therefore, an important therapeutic target. ErbB2 plays a central role...
3.
Potocek P, Trampert P, Peemen M, Schoenmakers R, Dahmen T
Microsc Microanal
. 2020 Apr;
26(3):403-412.
PMID: 32252851
With the growing importance of three-dimensional and very large field of view imaging, acquisition time becomes a serious bottleneck. Additionally, dose reduction is of importance when imaging material like biological...
4.
Parker K, Trampert P, Tinnemann V, Peckys D, Dahmen T, de Jonge N
Biophys J
. 2018 Aug;
115(3):503-513.
PMID: 30099989
The spatial distribution of the human epidermal growth factor 2 (HER2) receptor in the plasma membrane of SKBR3 and HCC1954 breast cancer cells was studied. The receptor was labeled with...
5.
Trampert P, Bourghorbel F, Potocek P, Peemen M, Schlinkmann C, Dahmen T, et al.
Ultramicroscopy
. 2018 May;
191:11-17.
PMID: 29715521
In scanning electron microscopy, the achievable image quality is often limited by a maximum feasible acquisition time per dataset. Particularly with regard to three-dimensional or large field-of-view imaging, a compromise...
6.
Trampert P, Wang W, Chen D, Ravelli R, Dahmen T, Peters P, et al.
Ultramicroscopy
. 2018 Apr;
191:1-10.
PMID: 29705643
A new method for dealing with incomplete projection sets in electron tomography is proposed. The approach is inspired by exemplar-based inpainting techniques in image processing and heuristically generates data for...
7.
Trampert P, Vogelgesang J, Schorr C, Maisl M, Bogachev S, Marniok N, et al.
J Xray Sci Technol
. 2017 Mar;
25(4):533-546.
PMID: 28339423
Background: Laminography is a tomographic technique that allows three-dimensional imaging of flat, elongated objects that stretch beyond the extent of a reconstruction volume. Laminography datasets can be reconstructed using iterative...
8.
Dahmen T, Engstler M, Pauly C, Trampert P, de Jonge N, Mucklich F, et al.
Sci Rep
. 2016 May;
6:25350.
PMID: 27150131
A new method for the image acquisition in scanning electron microscopy (SEM) was introduced. The method used adaptively increased pixel-dwell times to improve the signal-to-noise ratio (SNR) in areas of...
9.
Ludwig N, Werner T, Backes C, Trampert P, Gessler M, Keller A, et al.
Int J Mol Sci
. 2016 Apr;
17(4):475.
PMID: 27043538
Wilms tumor (WT) is the most common childhood renal cancer. Recent findings of mutations in microRNA (miRNA) processing proteins suggest a pivotal role of miRNAs in WT genesis. We performed...
10.
Stockel D, Schmidt F, Trampert P, Lenhof H
F1000Res
. 2016 Feb;
4.
PMID: 26913195
Summary Causal Bayesian Networks are a special class of Bayesian networks in which the hierarchy directly encodes the causal relationships between the variables. This allows to compute the effect of...