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Aspergillus fumigatus infection in virtual alveolus
Lung pathogen A. fumigatus forming hyphae and macrophages eliminating the fungus, influencing infection dynamics, studied through a hybrid agent-based model.…
Automated Image Analysis of Liver Tissue Using JIPipe and ImageJ
Automated image analysis using JIPipe and ImageJ effectively identifies and quantifies liver tissue components in confocal images, enabling detailed studies.…
Bacterial Co-infection model
Combination of wet-lab experiments and in silico modelling to explore interactions between Staphylococcus aureus (Sa) and Acinetobacter baumannii (Ab), which…
CellRain – Virtual Phagocytosis Assays
A virtual phagocytosis assay uses automated image analysis combined with individual-based modeling to simulate and uniquely characterize the phagocytosis process,…
Characterizing the pore structure of cryo-polymers
A comprehensive image analysis process utilizing both classical thresholding and deep learning with Cellpose was developed to identify and measure…
Detection of Bloodstream Infections
The objective is to enhance early pathogen identification in bloodstream infections by rapid and precise analysis of neutrophil behavior to…
Droplet Analysis – Deep Learning based
This project addresses antibiotic resistance by developing a high-throughput platform for rapid antibiotic susceptibility testing.
Gut-on-chip model, image-based analysis of Candida albicans
In the context of this model, the fungus is observed to proceed with hyphal growth and eventually form microcolonies.
IMFSegNet
In this project, quantitative imaging with deep learning is employed to evaluate histological muscle samples with regard to their fat…
JIPipe
JIPipe introduces a visual programming language into ImageJ that allows the creation of pipelines by designing flow charts. This language…
KITE – EPIDEMIOLOGICAL MODELLING OF INFECTION SPREAD IN CHILD CARE FACILITIES
KITE (KIndergarten Test scenario Evaluator) is a state-based model for simulating the spread of different airborne viruses in kindergartens. The…
Modeling pathogen AMP evasion
This project models the antimicrobial peptide (AMP) evasion mechanism called spatial distancing, where pathogens secrete molecules that bind AMPs and…
Mu Mo Sim
The Multi-Model Simulator project introduces a novel simulation tool that integrates various modeling approaches to provide reliable quantitative predictions with…
Peroxisome motility analysis
Peroxisome motility analysis using a Hidden Markov Model (HMM) enables the automatic identification and quantification of migration segments, thereby enhancing…
All projects
IMFSegNet
In this project, quantitative imaging with deep learning is employed to evaluate histological muscle samples with regard to their fat…
JIPipe
JIPipe introduces a visual programming language into ImageJ that allows the creation of pipelines by designing flow charts. This language…
KITE – EPIDEMIOLOGICAL MODELLING OF INFECTION SPREAD IN CHILD CARE FACILITIES
KITE (KIndergarten Test scenario Evaluator) is a state-based model for simulating the spread of different airborne viruses in kindergartens. The…
Mcat
Our MSOT cluster analysis toolkit enables the quantitative and automated analysis of multispectral optoacoustic tomography (MSOT) images. The pharmacokinetics of…
MISA++
Modern imaging techniques, such as light-sheet fluorescence microscopy, allow the capture of whole organs in three spatial dimensions. The analysis…
Model for antigen binding by B cell-derived receptors
In this study we investigate receptor–ligand binding in the context of antibody–antigen binding. We established a quantitative mapping between macroscopic…
Modeling pathogen AMP evasion
This project models the antimicrobial peptide (AMP) evasion mechanism called spatial distancing, where pathogens secrete molecules that bind AMPs and…
Modelling Factor H Mediated Self vs. Non-self Discrimination
By screening the Factor H concentration on cell surfaces three opsonization regimes are identified: (1) non-self recognition, (2) complement evasion…