Pathology/Neuropathology

arivis Browser

Workflow for protein spot analysis for automated detection, classification and analysis of beta-amyloid and its deposition on digital slides

Solution for basic research on Alzheimer's disease

Today, scientists already know about some of the pathogenetic mechanisms related to Alzheimer's dementia. However, the real causes for this most prevalent neurodegenerative disease, as well as possible ways of treatment, are still subject of intense research.

Prof. Dr. Dr. Jens Pahnke, head of the Neurodegeneration Research Lab (NRL), Rostock, and a member of the German Center for Neurodegenerative Diseases (DZNE), focuses his research on the factors being responsible for the development of sporadic Alzheimer's disease (AD).

The team of Prof. Dr. Dr. Pahnke uses various methodological approaches to examine, model and test the basic mechanisms of Alzheimer's disease. Therefore they use transgenic strains of mice bred in their own Mouse House.
The disease itself is the consequence of the gradual deposition of proteins in the brain. These toxic protein deposits destroy nerve cells, which leads to the deterioration of intellectual achievements of those being affected.

In cooperation with his team of scientists, he searched for possibilities to isolate the deposited proteins and remove them from the brain. Thereby he discovered the relevance of transport proteins.
The biological studies of Prof. Dr. Dr. Pahnke, Rostock NRL, require the analysis of digital, super-high-resolution images of specimens. Until now, no software has been able to visualize entire specimens and to analyze them simultaneously without restriction.

The arivis team was given the task to quickly create a solution for an automated object recognition and detection, quantification, classification and analysis of differently colored Alzheimer's disease-relevant proteins and the resulting deposits.

In order to assist Prof. Dr. Dr. Jens Pahnke, arivis developed a solution as an integrated workflow for the arivis browser

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arivis WebView

for visualization, editing, presentation of digital slides in online teaching platform

Solution for e-learning educational institutions in pathological

Visualize the possibility of unlimited large image data via internet / intranet, while didactic process in the context of the teaching content and present is the focus of interest of many educational institutions of pathology.

The goal of the online teaching platform mirax@net base, a joint project of arivis, Net-eK Base computer and network technology and with the support of Carl Zeiss MicroImaging GmbH, is through the conventional system of time-and stationary learning in university teaching facilities of the pathology replace a modern contemporary theory with the help of e-learning application.
The online teaching platform aims to enable the learning of one of the most difficult and above all most comprehensive recognized disciplines of medical education to a whole new way as a self-directed learning.
mirax@net-base is based on the use of digital slides, which are visualized with the arivis Webview in the lectures and the self-study, edited and presented.

The high-performance visualization, editing, annotation and presentation of these images with the arivis WebView is the core of the online application.

For the application we have with our know-how and offer our basic technology in this project, this solution:

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The biological studies of Prof. Dr. Dr. Pahnke, Rostock NRL, require the analysis of digital, super-high-resolution images of specimens. Until now, no software has been able to visualize entire specimens and to analyze them simultaneously without restriction