CRC 1449 "Dynamic Hydrogels at Biointerfaces" - Project INF
Published July 21, 2025 | Version v1
Software documentation Open

Protocol for AI-supported quantification of network structures in SEM imaged human mucus

Description

Mucus plays a crucial role in protecting and maintaining tissue homeostasis, but its structural analysis via scanning electron microscopy (SEM) is challenging due to manual measurement limitations. We developed an AI-assisted workflow using Fiji's Trainable Weka Segmentation plugin to automate the quantification of mucus networks. This method reduces analysis time and variability compared to traditional manual approaches. Validation against expert measurements showed high consistency, demonstrating the tool's reliability. By enabling efficient and reproducible analysis, this AI tool has the potential to advance research into mucus-related diseases like cystic fibrosis and Crohn’s, facilitating deeper insights and therapeutic development.

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Image_Analysis_Tutorial_Video_720p.mp4

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Additional details

Related works

Is source of
Preprint: 10.26434/chemrxiv-2025-qz5bj (DOI)

Funding

Deutsche Forschungsgemeinschaft
CRC1449 Dynamic Hydrogels at Biointerfaces 431232613
Federal Ministry of Education and Research
82DZL009B1
Federal Ministry of Education and Research
82DZL009C1