<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>multi-scale &#8211; BIOENGINEER.ORG</title>
	<atom:link href="https://bioengineer.org/tag/multi-scale/feed/" rel="self" type="application/rss+xml" />
	<link>https://bioengineer.org</link>
	<description>Bioengineering</description>
	<lastBuildDate>Sat, 17 Oct 2026 18:01:54 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.3</generator>

<image>
	<url>https://bioengineer.org/wp-content/uploads/2019/09/cropped-bioengineering-32x32.png</url>
	<title>multi-scale &#8211; BIOENGINEER.ORG</title>
	<link>https://bioengineer.org</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">72741379</site>	<item>
		<title>Smart Threshold: X-ray CT adapts apple segmentation across 12 cultivars</title>
		<link>https://bioengineer.org/smart-threshold-x-ray-ct-adapts-apple-segmentation-across-12-cultivars/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Sat, 17 Oct 2026 18:01:54 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[apple]]></category>
		<category><![CDATA[Cultivar-adaptive]]></category>
		<category><![CDATA[feature]]></category>
		<category><![CDATA[fruit quality]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[multi-scale]]></category>
		<category><![CDATA[phenotyping]]></category>
		<category><![CDATA[segmentation]]></category>
		<category><![CDATA[Structural]]></category>
		<category><![CDATA[tissue]]></category>
		<category><![CDATA[X-ray]]></category>
		<category><![CDATA[X-ray computed tomography]]></category>
		<guid isPermaLink="false">https://bioengineer.org/?p=431214</guid>

					<description><![CDATA[An adaptive porosity-based segmentation method called Smart Threshold replaces fixed thresholds in apple CT imaging, revealing cultivar-specific tissue architecture and dual-sensitive structural features across genetic and management contexts.]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">431214</post-id>	</item>
		<item>
		<title>AI Learns to See Cell Nuclei Clearly in Cheap Tissue Stains</title>
		<link>https://bioengineer.org/ai-learns-to-see-cell-nuclei-clearly-in-cheap-tissue-stains/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Sat, 17 Oct 2026 16:36:57 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[auxiliary]]></category>
		<category><![CDATA[guided]]></category>
		<category><![CDATA[histopathology]]></category>
		<category><![CDATA[multi-scale]]></category>
		<category><![CDATA[nuclear]]></category>
		<category><![CDATA[representation]]></category>
		<category><![CDATA[scientific research]]></category>
		<category><![CDATA[segmentation]]></category>
		<category><![CDATA[ThinkLIF]]></category>
		<guid isPermaLink="false">https://bioengineer.org/?p=430014</guid>

					<description><![CDATA[Every cancer diagnosis begins with a slide. A thin slice of tumor tissue is stained, mounted on glass, and examined under a microscope, where a pathologist counts and classifies the cells that determine how aggressive a tumor may be. Yet]]></description>
		
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">430014</post-id>	</item>
	</channel>
</rss>
