Software

DZNE-2026-00808

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Software: MotilA – A Python pipeline for the analysis of microglial fine process motility in 3D time-lapse multiphoton microscopy data, v1.1.0

Musacchio, F.DZNE* ; Crux, S.DZNE* ; Nebeling, F.DZNE* ; Gockel, N. E.DZNE* ; Fuhrmann, F.DZNE* ; Fuhrmann, M.DZNE*

2025
Zenodo

This record in other databases:  

Please use a persistent id in citations: doi:10.5281/zenodo.17807127

Abstract: MotilA is a Python-based image analysis pipeline designed to quantify microglial fine process motility from 4D and 5D time-lapse image stacks acquired through multi-photon in vivo imaging. While developed for microglial analysis, MotilA can be applied to other cell types and imaging studies as well. The pipeline supports both single-file and batch processing, making it adaptable for various experimental designs and high-throughput analyses.

---

Contributing Institute(s):

1. Neuroimmunology and Imaging (AG Fuhrmann)

Research Program(s):

1. 352 - Disease Mechanisms (POF4-352) (POF4-352)

---

---

Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article Musacchio, F. (First author)DZNE* ; Crux, S.DZNE* ; Nebeling, F.DZNE* ; Gockel, N.DZNE* ; Fuhrmann, F.DZNE* ; Fuhrmann, M. (Last author)DZNE*
MotilA – A Python pipeline for the analysis of microglial fine process motility in 3D time-lapse multiphoton microscopy data
The journal of open source software 10(116), 9267 (2025) [10.21105/joss.09267]2025   Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dataset Gockel, N.DZNE* ; Nieves-Rivera, N. ; Druart, M. ; Jaako, K. ; Fuhrmann, F.DZNE* ; Rožkalne, R. ; Musacchio, F.DZNE* ; Poll, S.DZNE* ; Baiba, J. ; Fuhrmann, M.DZNE* ; Le Magueresse, C.
Dataset: Example Datasets for Microglial Motility Analysis Using the MotilA Pipeline
Zenodo (2025) [10.5281/zenodo.15061565]2025 BibTeX | EndNote: XML, Text | RIS

---