Berlin 2024 – wissenschaftliches Programm
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BP: Fachverband Biologische Physik
BP 9: Poster Session Ib
BP 9.7: Poster
Montag, 18. März 2024, 18:00–20:30, Poster D
Using cell shape measurements to classify in vivo resident tissue macrophage morphology in health and disease — •Miriam Schnitzerlein1,2, Anja Wegner3,4,5, Stefan Uderhardt3,4,5, and Vasily Zaburdaev1,2 — 1Department Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) — 2Max-Planck-Zentrum für Physik und Medizin, Erlangen — 3Department of Medicine 3 - Rheumatology and Immunology, FAU und Universitätsklinikum Erlangen — 4Deutsches Zentrum für Immuntherapie, FAU — 5Exploratory Research Unit, Optical Imaging Competence Center Erlangen, FAU
Resident tissue macrophages (RTMs) are a type of immune cell present in essentially all tissues in the human body. One of their main functions is to keep the tissue in homeostasis by removing dead cells or resolving lesions, thereby preventing unnecessary inflammation. To find such incidents, RTMs show continuous sampling behaviour by extending and retracting their protrusions which changes their overall morphology accordingly. Thus, these morphology changes can act as an indicator of a specific activation state of RTMs. In this project, we have employed a high-resolution, intravital imaging protocol to generate dynamic data of murine RTMs in vivo in the peritoneum. Next we have built a custom image processing pipeline to assess RTM morphology and dynamics via a set of cell size and shape features. Our features can quantitatively distinguish differently activated RTMs induced by various chemical stimuli. Furthermore, we could use our quantifiers to improve the health of RTMs in different experimental settings ex vivo.
Keywords: Resident tissue macrophages; Cell morphology; Bioimage analysis; Cells in distress and disease; Computational cell biology