Featured
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
BoneStruct
Early diagnosis and evaluation of treatment efficacy are crucial in managing rheumatoid arthritis. In this regard, animal models can help…
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…
Complement immune evasion of Candida albicans
The pH-regulated antigen 1 (Pra1) is a hierarchical complement inhibitor that is secreted by the fugal pathogen Candida albicans and…
Confrontation assay model
In this project a virtual confrontation assay of polymorphonuclear neutrophils (PMN) and Candida glabrata cell cluster is modelled. Bases on…
DeconvTest
For many existing deconvolution methods, it is challenging to choose the method and its parameters most appropriate for particular image…
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 – Encoding/Decoding Strategy
Microfluidic droplet handling is an ultra-high throughput technique that allows for encapsulation of single microbes in isolated compartments to, for…