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	<title>structured illumination microscopy &#8211; BIOENGINEER.ORG</title>
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	<title>structured illumination microscopy &#8211; BIOENGINEER.ORG</title>
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		<title>Super-Resolution Microscopy Meets Single-Shot Learning: A Breakthrough in Imaging Technology</title>
		<link>https://bioengineer.org/super-resolution-microscopy-meets-single-shot-learning-a-breakthrough-in-imaging-technology/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 08 May 2025 14:31:15 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[AI-driven imaging technology]]></category>
		<category><![CDATA[ensemble deep learning]]></category>
		<category><![CDATA[live-cell imaging]]></category>
		<category><![CDATA[structured illumination microscopy]]></category>
		<category><![CDATA[super-resolution microscopy]]></category>
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					<description><![CDATA[In a remarkable leap forward for biomedical imaging, a research team from Nanjing University of Science and Technology (NJUST), led by Professor Chao Zuo, has unveiled an innovative AI-empowered super-resolution microscopy technique that significantly advances the visualization of live cellular dynamics. This pioneering method, known as ensemble deep learning-enabled single-shot composite structured illumination microscopy (eDL-cSIM), [&#8230;]]]></description>
		
		
		
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