Imaging Infections: Integrated, multiscale Visualization of Infections and Host Response
Marie Sklodowska Curie European Training Network for fighting infectious Diseases
Infectious diseases are caused by organisms, usually microscopic in size, such as bacteria, viruses, fungi, or parasites that are passed from one person to another. They are a leading cause of death worldwide. To help reduce worldwide mortality, the European training network IMAGE-IN aims to educate a new generation of leading experts in advanced imaging and data analysis methods. It provides insights into molecular imaging, multiscale visualisation of infections and host response to help detect infection and its cause, and determine its severity for personalised treatment. The focus will be on combining data from different imaging modalities to better understand the pathogenesis of difficult-to-treat infections.
The European training network IMAGE-IN aims to contribute to the reduction of the worldwide mortality rate caused by infectious diseases by educating a new generation of leading experts in advanced imaging and data analysis methods that will help to better understand and fight infections. The network will provide cutting-edge insights into molecular imaging, multiscale visualization of infections and host response that can help to detect infection, determine its severity and characterize the cause of infection in a time efficient manner to enable personalized treatment. IMAGE-IN actively involves the non-academic sector (SMEs and hospitals) in a unique doctoral training to increase the employability of the IMAGE-IN researchers and to adapt their new skills to the needs of businesses and wider society. While molecular imaging is already common in the clinic, the five research projects target on how data from different imaging modalities can be combined for a better understanding of the pathogenesis of difficult-to-treat infections and ultimately, can lead to faster diagnostics. These domains play essential roles in understanding pathogenesis of infections but also expedite bench-to-bedside translation of new biophotonic and spectroscopic insights (e.g. for diagnostics or later for therapy). The five projects' supervisors have proven track records of success in research and training and bring in perspectives from the public and the private sector. Trainee mobility within the network, in combination with dedication, strong affiliations and technology, creates a highly synergistic framework for success. This assures efficient transfer of excellent academic results to the industry and strengthens Europe's human capital base in R&I through a new generation of entrepreneurial and highly-skilled early career researchers.
Localizing the pathogen and monitoring host response in tissue infections
Analysis and visualization of dynamic host responses in animal models with systemic infections by using MRI in-vivo
Characterization of pathogenesis and treatment of infections with obligate intracellular pathogen
3D visualization and correlation from different spectroscopic imaging modalities to define the pathogen nich
Collaborative Research Framework for Pathomics
The research programme of IMAGE-IN is linked to the two profile lines LIGHT and LIFE of the Friedrich-Schiller University of Jena (FSU). The research approach in IMAGE-IN will complement existing programmes and bridge in particular the optical-focussed Abbe School of Photonics and the life-science oriented PhD programmes of the CSCC and the Jena School for Microbial Communication. All these existing graduate programmes support the IMAGE-IN network as IMAGE-IN could fill existing gaps and complement the newly funded German excellence cluster “Balance of the microverse” of the FSU with a strong focus on imaging infections.
Practical webinar on Extended Multiplicative Scatter Correction (EMSC) Analysis. Exact date tbc.
EMSC is a popular and convenient algorithm for pre-processing and analysis of vibrational spectroscopy data. However, caseless application of the algorithm can lead to a poor or misleading results. This course will focus on practical aspects in application of the algorithm to get better understanding and to avoid common mistakes.
For better experience, it is recommended to get some background about EMSC. For example, you can read this article.
Content of the webinar:
– The EMSC model
– Field of application: Which effects does EMSC correct?
– Reference spectra and correction terms for EMSC
– EMSC and internal model validation
2x 45 min:
2. Q&A session (Please feel free to bring up your own problems.)
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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement 861122.