Biomedical subjects

Andreas D Schenk

Publications and source records attributed to Andreas D Schenk.

3 recordsLinked to original sources

PubMed2006

Collaborative EM image processing with the IPLT image processing library and toolbox.

We present the Image Processing Library and Toolbox, IPLT, in the context of a collaborative electron microscopy processing effort, which has driven the evolution of our software architecture over the last years. The high-level interface design as well as the underlying implementations are described to demonstrate the flexibility of the IPLT framework. It aims to support the wide range of skills and interests of methodologically oriented scientists who wish to implement their ideas and algorithms as processing code.

Algorithms↗

PubMed2005

The 4.5 A structure of human AQP2.

Located in the principal cells of the collecting duct, aquaporin-2 (AQP2) is responsible for the regulated water reabsorption in the kidney and is indispensable for the maintenance of body water balance. Disregulation or malfunctioning of AQP2 can lead to severe diseases such as nephrogenic diabetes insipidus, congestive heart failure, liver cirrhosis and pre-eclampsia. Here we present the crystallization of recombinantly expressed human AQP2 into two-dimensional protein-lipid arrays and their structural characterization by atomic force microscopy and electron crystallography. These crystals are double-layered sheets that have a diameter of up to 30 microm, diffract to 3 A(-1) and are stacked by contacts between their cytosolic surfaces. The structure determined to 4.5 A resolution in the plane of the membrane reveals the typical aquaporin fold but also a particular structure between the stacked layers that is likely to be related to the cytosolic N and C termini.

Aquaporin 2↗

PubMedDate not supplied

Iplt--image processing library and toolkit for the electron microscopy community.

We present the foundation for establishing a modular, collaborative, integrated, open-source architecture for image processing of electron microscopy images, named iplt. It is designed around object oriented paradigms and implemented using the programming languages C++ and Python. In many aspects it deviates from classical image processing approaches. This paper intends to motivate developers within the community to participate in this on-going project. The iplt homepage can be found at http://www.iplt.org.

Image Processing, Computer-Assisted↗