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	<title>Vendor products | Tissuepathology.com</title>
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	<title>Vendor products | Tissuepathology.com</title>
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	<item>
		<title>Aiforia closes a deal with a private diagnostic laboratory in Italy</title>
		<link>https://tissuepathology.com/2026/04/23/aiforia-closes-a-deal-with-a-private-diagnostic-laboratory-in-italy/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 23 Apr 2026 12:22:10 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Health Technology Collaboration]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[International]]></category>
		<category><![CDATA[Vendor products]]></category>
		<category><![CDATA[Whole slide]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Aiforia]]></category>
		<category><![CDATA[Cervical cancer]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Italy]]></category>
		<category><![CDATA[La Fontana]]></category>
		<category><![CDATA[Pathology]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24373</guid>

					<description><![CDATA[<p>Using Aiforia Create, the laboratory La Fontana aims to develop deep learning AI models for analyzing cervical cancer samples. Aiforia Technologies Plc, Press Release, April 23, 2026, at 11:00 a.m. EEST Aiforia Technologies Plc has signed an agreement with Laboratorio di Analisi La Fontana, a private diagnostic laboratory in Italy, to collaborate in AI-powered digital pathology. [&#8230;]</p>
The post <a href="https://tissuepathology.com/2026/04/23/aiforia-closes-a-deal-with-a-private-diagnostic-laboratory-in-italy/">Aiforia closes a deal with a private diagnostic laboratory in Italy</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Smart In Media: Streamline Your Workflow With Real-Time Collaboration from the Grossing Station:</title>
		<link>https://tissuepathology.com/2025/12/30/smart-in-media-streamline-your-workflow-with-real-time-collaboration-from-the-grossing-station/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Tue, 30 Dec 2025 15:10:14 +0000</pubDate>
				<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Vendor products]]></category>
		<category><![CDATA[gross imaging]]></category>
		<category><![CDATA[Live View]]></category>
		<category><![CDATA[macro]]></category>
		<category><![CDATA[smart in media]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24143</guid>

					<description><![CDATA[<p>From Smart In Media: PathoZoom®-M, LiveView Macro, is the most compact, flexible, and inexpensive Gross Imaging Solution. It is also the most powerful. Instant Communication: You can discuss cases in real-time with colleagues at the grossing station, leading to faster diagnoses.Voice communication is built-in Improve Your Workflow: With commenting and measuring capability, the PathoZoom system [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/12/30/smart-in-media-streamline-your-workflow-with-real-time-collaboration-from-the-grossing-station/">Smart In Media: Streamline Your Workflow With Real-Time Collaboration from the Grossing Station:</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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		<item>
		<title>EVIDENT: New FLUOVIEW™ FV5000 Redefines the Boundaries of Confocal and Multiphoton Imaging</title>
		<link>https://tissuepathology.com/2025/10/30/evident-new-fluoview-fv5000-redefines-the-boundaries-of-confocal-and-multiphoton-imaging/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Thu, 30 Oct 2025 12:26:39 +0000</pubDate>
				<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Microscopy]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[Vendor products]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Confocal Imaging]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[EVIDENT]]></category>
		<category><![CDATA[FLUOVIEW™ FV5000]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[microscope]]></category>
		<category><![CDATA[Multiphoton Imaging]]></category>
		<category><![CDATA[Pathology]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=24012</guid>

					<description><![CDATA[<p>Evident launches new precision imaging system that delivers exceptional clarity and speed, absolute quantitation, and a simplified end-to-end user experience WALTHAM, Mass. (October 29, 2025)—Evident is setting a new standard in life science imaging with its launch of the new FLUOVIEW™ FV5000 confocal and multiphoton laser scanning microscope, a next-generation platform designed to capture sharper, [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/10/30/evident-new-fluoview-fv5000-redefines-the-boundaries-of-confocal-and-multiphoton-imaging/">EVIDENT: New FLUOVIEW™ FV5000 Redefines the Boundaries of Confocal and Multiphoton Imaging</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Indica Labs: Using the HALO® High Dimensional Analysis Module for Advanced Phenotypic Characterization and Spatial Analysis of Highly Multiplexed Images</title>
		<link>https://tissuepathology.com/2025/10/15/indica-labs-using-the-halo-high-dimensional-analysis-module-for-advanced-phenotypic-characterization-and-spatial-analysis-of-highly-multiplexed-images/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 15 Oct 2025 13:02:33 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Vendor products]]></category>
		<category><![CDATA[Whole slide]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[HALO]]></category>
		<category><![CDATA[Highly Multiplexed Images]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Indica Labs]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[phenotypic characterization]]></category>
		<category><![CDATA[spatial analysis]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23981</guid>

					<description><![CDATA[<p>Indica Labs explores the capabilities and workflow of newest HALO module Highly multiplexed imaging is changing the way that we view and understand tissues and is helping to elucidate previously unrecognized cellular populations and interactions. The amount of information contained in these images can overwhelm traditional analysis tools, so numerous techniques have been developed to [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/10/15/indica-labs-using-the-halo-high-dimensional-analysis-module-for-advanced-phenotypic-characterization-and-spatial-analysis-of-highly-multiplexed-images/">Indica Labs: Using the HALO® High Dimensional Analysis Module for Advanced Phenotypic Characterization and Spatial Analysis of Highly Multiplexed Images</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Leica Biosystems Expands Leading Digital Pathology Portfolio for the US with Multiple Launches at Pathology Visions 2025</title>
		<link>https://tissuepathology.com/2025/10/01/leica-biosystems-expands-leading-digital-pathology-portfolio-for-the-us-with-multiple-launches-at-pathology-visions-2025/</link>
		
		<dc:creator><![CDATA[Erica Goodpaster]]></dc:creator>
		<pubDate>Wed, 01 Oct 2025 13:00:20 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Conferences]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Press Release]]></category>
		<category><![CDATA[Vendor products]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[digital pathology]]></category>
		<category><![CDATA[image analysis]]></category>
		<category><![CDATA[Launch]]></category>
		<category><![CDATA[leica biosystems]]></category>
		<category><![CDATA[Pathology]]></category>
		<category><![CDATA[Pathology Visions 2025]]></category>
		<category><![CDATA[Software]]></category>
		<category><![CDATA[United States]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23950</guid>

					<description><![CDATA[<p>VISTA, California, October 1, 2025 – In a groundbreaking showcase of innovation designed to accelerate the digital transformation of pathology, Leica Biosystems proudly launches its latest, pioneering software solutions in the Aperio Digital Pathology portfolio at booth #313 during Pathology Visions. Aperio HALO AP, an advanced AI-powered image management solution, developed in conjunction with Indica [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/10/01/leica-biosystems-expands-leading-digital-pathology-portfolio-for-the-us-with-multiple-launches-at-pathology-visions-2025/">Leica Biosystems Expands Leading Digital Pathology Portfolio for the US with Multiple Launches at Pathology Visions 2025</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
			</item>
		<item>
		<title>Artificial Intelligence in Pathology &#8211; Has It&#8217;s Time Come?</title>
		<link>https://tissuepathology.com/2025/09/17/artificial-intelligence-in-pathology-has-its-time-come/</link>
		
		<dc:creator><![CDATA[Dr. Keith J. Kaplan]]></dc:creator>
		<pubDate>Wed, 17 Sep 2025 19:36:31 +0000</pubDate>
				<category><![CDATA[Advocacy]]></category>
		<category><![CDATA[Anatomic Pathology]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[Business]]></category>
		<category><![CDATA[Clinical Laboratories]]></category>
		<category><![CDATA[Clinical Pathology]]></category>
		<category><![CDATA[Current Affairs]]></category>
		<category><![CDATA[Digital Pathology News]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Image Analysis]]></category>
		<category><![CDATA[Informatics]]></category>
		<category><![CDATA[Laboratory Informatics]]></category>
		<category><![CDATA[Laboratory Management & Operations]]></category>
		<category><![CDATA[Molecular Pathology]]></category>
		<category><![CDATA[New Digital Imaging Technologies]]></category>
		<category><![CDATA[Pathology News]]></category>
		<category><![CDATA[Vendor products]]></category>
		<category><![CDATA[Whole slide]]></category>
		<category><![CDATA[adoption]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Hype Cycle]]></category>
		<category><![CDATA[PaigeAI]]></category>
		<category><![CDATA[Tempus]]></category>
		<guid isPermaLink="false">https://tissuepathology.com/?p=23912</guid>

					<description><![CDATA[<p>Where are we going? Where have we been? What is the future? Last month, Tempus purchased Paige AI for $81M, largely in the form of Tempus stock to, as reports mention, for PaigeAI&#8217;s datasets from 7 million slides, perhaps most of which were from Memorial Sloan Kettering Cancer Center. Critics were quick to point out [&#8230;]</p>
The post <a href="https://tissuepathology.com/2025/09/17/artificial-intelligence-in-pathology-has-its-time-come/">Artificial Intelligence in Pathology – Has It’s Time Come?</a> first appeared on <a href="https://tissuepathology.com">Tissuepathology.com</a>.]]></description>
		
		
		
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