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	<title>DeepMoCo &#8211; BIOENGINEER.ORG</title>
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		<title>DeepMoCo: Graph Neural Networks Erase Motion Artifacts From Live Brain Imaging</title>
		<link>https://bioengineer.org/deepmoco-graph-neural-networks-erase-motion-artifacts-from-live-brain-imaging/</link>
		
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		<pubDate>Sat, 17 Oct 2026 12:48:36 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[adaptive]]></category>
		<category><![CDATA[correction]]></category>
		<category><![CDATA[Deep-learning-enabled]]></category>
		<category><![CDATA[DeepMoCo]]></category>
		<category><![CDATA[fluorescence microscopy]]></category>
		<category><![CDATA[graph neural networks]]></category>
		<category><![CDATA[imaging]]></category>
		<category><![CDATA[In Vivo Imaging]]></category>
		<category><![CDATA[motion]]></category>
		<category><![CDATA[motion correction]]></category>
		<category><![CDATA[Neuroscience]]></category>
		<category><![CDATA[vivo]]></category>
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					<description><![CDATA[Researchers at Zhejiang University and Hangzhou City University have developed DeepMoCo, a graph neural network framework that adaptively corrects both rigid and non-rigid motion artifacts in in vivo fluorescence imaging across species.]]></description>
		
		
		
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