(2023)
IMFSegNet: Cost-effective and objective quantification of intramuscular fat in histological sections by deep learning.
Comput Struct Biotechnol J 21,
2696-3704.
Jan-Philipp Praetorius
Applied Systems Biology · FungiNet / JSMC +49 3641 532-1592 jan-philipp.praetorius@leibniz-hki.deCurriculum 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
(2022)
Automated characterisation of neutrophil activation phenotypes in ex vivo human Candida blood infections.
Comput Struct Biotechnol J 20,
2297-2308.
(2021)
Enhanced segmentation of label-free cells for automated migration and interaction tracking.
Cytometry A 99(12),
1218-1229.
(2021)
Comparative assessment of immune evasion mechanisms in human whole-blood infection assays by a systems biology approach.
PLOS One 16(4),
e0249372.