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Mapping human microglial morphological diversity via handcrafted and deep learning-derived image features

2025-09-17

Abstract excerpt

Microglia play critical roles in brain health and disease by adopting a spectrum of dynamic activation states. However, capturing this continuous heterogeneity in a scalable way remains a major challenge. To address this, we developed an imaging and data analysis framework to map the activation landscape of human iPSC-derived microglia (iMG) at single-cell resolution. We combined high-content imaging using two com...

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Identifiers and source

Literature Corpus work
f3e2847d-ee5d-5d25-9ef4-2f50cb8d2e7b
DOI
10.1101/2025.09.12.675829
Open publication

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Mapping human microglial morphological diversity via handcrafted and deep learning-derived image featuresDOI 10.1101/2025.09.12.675829
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