Jan-Philipp Praetorius

Jan-Philipp Praetorius

Applied Systems Biology · FungiNet / JSMC

On parental leave

+49 3641 532-1592 jan-philipp.praetorius@leibniz-hki.de

Curriculum vitae

Main Research Areas
  • Automated analysis of microscopic image data of host-pathogen interaction
Professional Career
since 2019 PhD student in Bioinformatics at the Hans Knöll Institute
2019 M.Sc. in Computational and Data Science at the Friedrich Schiller University Jena
2016 B.Sc. in Business Information Systems at the Friedrich Schiller University Jena

Publications

Sarkar A, Praetorius JP, Figge MT# (2024) Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections. Comput Struct Biotechnol J 23, 1260-1273.
Walluks K*, Praetorius JP*, Arnold D#, Figge MT# (2024) Impact of functional electrical stimulation on nerve-damaged muscles by quantifying fat infiltration using deep learning. Sci Rep 14(1), 12158.
Praetorius JP, Walluks K, Svensson CM, Arnold D, Figge MT# (2023) IMFSegNet: Cost-effective and objective quantification of intramuscular fat in histological sections by deep learning. Comput Struct Biotechnol J 21, 3696-3704.
Belyaev I*, Marolda A*, Praetorius JP, Sarkar A, Medyukhina A, Hünniger K, Kurzai O, Figge MT (2022) Automated characterisation of neutrophil activation phenotypes in ex vivo human Candida blood infections. Comput Struct Biotechnol J 20, 2297-2308.
Belyaev I*, Praetorius JP*, Medyukhina A, Figge MT (2021) Enhanced segmentation of label-free cells for automated migration and interaction tracking. Cytometry A 99(12), 1218-1229.
Lehnert T, Prauße MTE, Hünniger K, Praetorius JP, Kurzai O, Figge MT (2021) Comparative assessment of immune evasion mechanisms in human whole-blood infection assays by a systems biology approach. PLOS One 16(4), e0249372.