PARTICIPATION YIELDS EVOLUTION

Developing successful tools for researchers means actively participating in research projects. SCiLS Lab is not developed solely behind a desk. We work together with our customers in industry and science to enhance the usability of our software: optimizing routine uses and expanding the scope of its applications by making cutting-edge research results accessible to everyone. Take a look at the current projects that we are involved in!

RESEARCH PROJECTS

BRINGING MALDI IMAGING INTO PATHOLOGICAL DIAGNOSTICS

2014-2016 | funded by BMWi and 2015-2018 | funded by BMBF

MALDI Imaging has proven to be the tool of choice for discovering clinically relevant biomarkers for discriminating pathophysiological conditions. In two projects funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) and the German Federal Ministry of Education and Research (BMBF), SCiLS and its partners are further developing MALDI imaging used for cancer diagnostics in clinical pathology. Principal aspects are the creation of standard operating procedures for routine clinical workflows, and the development of novel computational tools and new software solutions for pathology.

BILDER 1+2

The BMWi project deals with diagnosis and personalized medical treatment of pancreatic and lung cancer based on MALDI imaging. The duration of the project is from July 2014 to June 2016. The project consortium unites the following partners from academia and industry:

The BMBF projects deals with the diagnosis and personalized medical treatment of breast and ovarian cancer based on MALDI imaging. The duration of the project is from October 2015 to September 2018. The project consortium unites the following partners from academia and industry:

  • SCiLS, Bremen, Dennis Trede
  • Proteopath, Tier, Joerg Kriegsmann www.proteopath.de
  • Center for Industrial Mathematics, University of Bremen, Peter Maass
  • Bruker Daltonik, Bremen, Wolfgang Pusch www.bruker.com
TURNING MALDI IMAGING INTO TRUE MOLECULAR IMAGING

2015-2018 | funded by the European Union’s Horizon 2020 research and innovation programme

A high-resolution MALDI imaging dataset from one tissue section typically has millions of individual ion images and therefore data mining and identification of ions currently represent a serious bottleneck in the data analysis workflow.

In European project METASPACE on Bioinformatics for Spatial Metabolomics (metaspace2020.eu), SCiLS and other projects partners are developing an online engine based on big-data technologies that automatically translates millions of ion images to molecular annotations.

The duration of the project is from July 2015 to June 2018. The project consortium unites partners from 5 countries and an intergovernmental organization: