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Fabrizio Musacchio
Fabrizio Musacchio
@pixeltracker@sigmoid.social  ·  activity timestamp 5 days ago

Happy to announce that our #JOSS paper on #MotilA is now published 😊

MotilA is an #OpenSource #Python pipeline for quantifying microglial fine-process motility in 3D/4D in vivo multiphoton #imaging data. It is specifically designed for reproducible, batch-scale analysis.

The paper describes the methodology, implementation, and scope of the software:

📄 https://doi.org/10.21105/joss.09267
💻 https://github.com/FabrizioMusacchio/MotilA
📘 https://motila.readthedocs.io/

#Neuroscience #Microglia #OpenScience #FOSS #JOSS

GitHub

GitHub - FabrizioMusacchio/MotilA: Pipeline for analyzing microglial fine process motility from 4D/5D multi-photon imaging data

Pipeline for analyzing microglial fine process motility from 4D/5D multi-photon imaging data - FabrizioMusacchio/MotilA

MotilA – A Python pipeline for the analysis of microglial fine process motility in 3D time-lapse multiphoton microscopy data

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MotilA pipeline’s segmentation and microglial turnover rate assessment. This animation illustrates the structural changes that MotilA detects and quantifies. The left panel shows one representative Z-slice per time point after MotilA’s internal preprocessing steps. The right panel shows the corresponding ΔB classification maps, which are computed as difference images between two consecutive time points ti and ti+1.
MotilA pipeline’s segmentation and microglial turnover rate assessment. This animation illustrates the structural changes that MotilA detects and quantifies. The left panel shows one representative Z-slice per time point after MotilA’s internal preprocessing steps. The right panel shows the corresponding ΔB classification maps, which are computed as difference images between two consecutive time points ti and ti+1.
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