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  <description><![CDATA[<p>The Omni Lab Workflow Podcast brings you practical, lab-tested conversations at the intersection of preclinical research, sample preparation, and method development. Each episode features Omni thought leaders and guest experts from pharma, biotech, and academia digging into what actually moves studies forward: choosing the right lysis and homogenization strategies, building robust, preset protocols, onboarding new staff without slowing the lab, and protecting data integrity under real-world pressure. We unpack common sample-prep mistakes, compare methods (bead milling, rotor-stator, automation), and show how customer support and training tighten QC, reduce variability, and accelerate results. If you lead a lab, run sample prep, or train scientists, you’ll get clear frameworks, step-by-step tactics, and tool choices you can use this week.<br><br>New episodes: conversations with Omni Application Science, product specialists, and industry voices.<br><br>Follow for: preclinical workflows, homogenization, sample lysis, protocol standardization, onboarding, lab efficiency, automation, QC, and better data—faster.<br><br>Subscribe and send us your toughest sample-prep questions—we’ll cover them on the show.</p>]]></description>
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    <itunes:title>Epi6: Modernizing Tissue Prep: Why Manual Front Ends Hold Labs Back</itunes:title>
    <title>Epi6: Modernizing Tissue Prep: Why Manual Front Ends Hold Labs Back</title>
    <itunes:summary><![CDATA[Connect with Gabby: https://www.linkedin.com/in/gabriella-ryan-m-s-9519a1139/   Connect with Bill: https://www.linkedin.com/in/founderandcdo/  Check out Gabby's LinkedIn Newsletter: Precision Prep, Research Ready: https://www.linkedin.com/newsletters/precision-prep-research-ready-7303865151785480192/    Labs invest heavily in downstream instruments—but if tissue prep is still manual, that front-end bottleneck can quietly undermine the entire workflow. Too often, labs are trying to do 2026 sci...]]></itunes:summary>
    <description><![CDATA[<p>Connect with Gabby: <a href='https://www.linkedin.com/in/gabriella-ryan-m-s-9519a1139/'>https://www.linkedin.com/in/gabriella-ryan-m-s-9519a1139/</a> <br/><br/>Connect with Bill: <a href='https://www.linkedin.com/in/founderandcdo/'>https://www.linkedin.com/in/founderandcdo/</a><br/><br/>Check out Gabby&apos;s LinkedIn Newsletter: Precision Prep, Research Ready: <a href='https://www.linkedin.com/newsletters/precision-prep-research-ready-7303865151785480192/'>https://www.linkedin.com/newsletters/precision-prep-research-ready-7303865151785480192/</a><a href='https://www.youtube.com/redirect?event=video_description&amp;redir_token=QUFFLUhqblRGZ25tSmZKekVKdWN6RWUtVVlsV01tQWJOZ3xBQ3Jtc0tsX2NQQTZpdEpSZ0RCb0hoVWtSWlhWXy1zWUN1Z1hhTkhXZlpEckdfdmMyT2dlYUlxRWZrSWJ2NUxfVzJNYmxSUS1JaXZ5dzRoUDgxZTN4dmlWekFQOEtDSUYzVFpGWFhsZzhxY0pvVnhRQWNkMWxySQ&amp;q=https%3A%2F%2Fwww.linkedin.com%2Fnewsletters%2Fprecision-prep-research-ready-7303865151785480192%2F&amp;v=Aq6Av1OBqok'> </a> <br/><br/>Labs invest heavily in downstream instruments—but if tissue prep is still manual, that front-end bottleneck can quietly undermine the entire workflow. Too often, labs are trying to do 2026 science with 2016 tech.<br/><br/>In this episode of Omni Pod, I, Bill Schick (Fractional CMO @ meshagency.com), sit down with Gabby Ryan, Sr. Application Scientist at Omni International, a Revvity brand, to talk about why expensive instruments struggle when the front end is manual—and how automating tissue prep brings consistency, protects data, and gives labs the reliability they need as workflows scale.<br/><br/>See how Omni supports consistent, semi-automated tissue prep with the Bead Ruptor Elite:<br/><a href='https://www.revvity.com/category/bead-mill-homogenizers'>https://www.revvity.com/category/bead-mill-homogenizers</a></p><p>And how high-throughput labs automate homogenization with the LH 96 platform:<br/><a href='https://www.revvity.com/category/automated-homogenizers'>https://www.revvity.com/category/automated-homogenizers</a><br/><br/>We dig into what Gabby sees every day in the field: labs running advanced sequencing, biomarker, and drug-development workflows on the back end while still relying on rotor-stators, mortar and pestle methods, or aging bead mills on the front end. <br/><br/>She explains how manual prep creates fatigue, variability, cross-contamination risk, rework, and QC failures—and why labs often do not realize sample prep is the problem until scale makes the bottleneck impossible to ignore.<br/><br/>What you’ll learn:<br/><br/>Why manual tissue prep becomes a liability as labs scale from dozens of samples to hundreds or thousands<br/><br/>How front-end inconsistency can show up as failed QC, poor DNA/RNA/protein quality, reruns, and questionable downstream data<br/><br/>What operator fatigue, probe cleaning, and manual sample handling can introduce into a workflow<br/><br/>Why expensive downstream platforms cannot compensate for weak or inconsistent sample lysis upstream<br/><br/>How semi-automated bead milling helps labs process samples the same way every time<br/><br/>When it makes sense to move from manual methods to semi-automated or fully automated homogenization<br/><br/>How labs can redeploy skilled scientists away from repetitive sample grinding and toward higher-value work<br/><br/>Why automation at the front end is increasingly necessary for modern drug development and high-throughput research<br/><br/>Who this is for:<br/>Lab managers, application scientists, translational and preclinical research teams, and anyone running tissue prep ahead of extraction, sequencing, or other downstream analysis—especially if your back-end workflow is advanced but your front-end process is still largely manual.<br/><br/>Subscribe for more practical, lab-tested conversations on building faster, cleaner, and more repeatable workflows at the front end of preclinical research—and drop your sample-prep questions in the comments so we can tackle them in a future</p>]]></description>
    <content:encoded><![CDATA[<p>Connect with Gabby: <a href='https://www.linkedin.com/in/gabriella-ryan-m-s-9519a1139/'>https://www.linkedin.com/in/gabriella-ryan-m-s-9519a1139/</a> <br/><br/>Connect with Bill: <a href='https://www.linkedin.com/in/founderandcdo/'>https://www.linkedin.com/in/founderandcdo/</a><br/><br/>Check out Gabby&apos;s LinkedIn Newsletter: Precision Prep, Research Ready: <a href='https://www.linkedin.com/newsletters/precision-prep-research-ready-7303865151785480192/'>https://www.linkedin.com/newsletters/precision-prep-research-ready-7303865151785480192/</a><a href='https://www.youtube.com/redirect?event=video_description&amp;redir_token=QUFFLUhqblRGZ25tSmZKekVKdWN6RWUtVVlsV01tQWJOZ3xBQ3Jtc0tsX2NQQTZpdEpSZ0RCb0hoVWtSWlhWXy1zWUN1Z1hhTkhXZlpEckdfdmMyT2dlYUlxRWZrSWJ2NUxfVzJNYmxSUS1JaXZ5dzRoUDgxZTN4dmlWekFQOEtDSUYzVFpGWFhsZzhxY0pvVnhRQWNkMWxySQ&amp;q=https%3A%2F%2Fwww.linkedin.com%2Fnewsletters%2Fprecision-prep-research-ready-7303865151785480192%2F&amp;v=Aq6Av1OBqok'> </a> <br/><br/>Labs invest heavily in downstream instruments—but if tissue prep is still manual, that front-end bottleneck can quietly undermine the entire workflow. Too often, labs are trying to do 2026 science with 2016 tech.<br/><br/>In this episode of Omni Pod, I, Bill Schick (Fractional CMO @ meshagency.com), sit down with Gabby Ryan, Sr. Application Scientist at Omni International, a Revvity brand, to talk about why expensive instruments struggle when the front end is manual—and how automating tissue prep brings consistency, protects data, and gives labs the reliability they need as workflows scale.<br/><br/>See how Omni supports consistent, semi-automated tissue prep with the Bead Ruptor Elite:<br/><a href='https://www.revvity.com/category/bead-mill-homogenizers'>https://www.revvity.com/category/bead-mill-homogenizers</a></p><p>And how high-throughput labs automate homogenization with the LH 96 platform:<br/><a href='https://www.revvity.com/category/automated-homogenizers'>https://www.revvity.com/category/automated-homogenizers</a><br/><br/>We dig into what Gabby sees every day in the field: labs running advanced sequencing, biomarker, and drug-development workflows on the back end while still relying on rotor-stators, mortar and pestle methods, or aging bead mills on the front end. <br/><br/>She explains how manual prep creates fatigue, variability, cross-contamination risk, rework, and QC failures—and why labs often do not realize sample prep is the problem until scale makes the bottleneck impossible to ignore.<br/><br/>What you’ll learn:<br/><br/>Why manual tissue prep becomes a liability as labs scale from dozens of samples to hundreds or thousands<br/><br/>How front-end inconsistency can show up as failed QC, poor DNA/RNA/protein quality, reruns, and questionable downstream data<br/><br/>What operator fatigue, probe cleaning, and manual sample handling can introduce into a workflow<br/><br/>Why expensive downstream platforms cannot compensate for weak or inconsistent sample lysis upstream<br/><br/>How semi-automated bead milling helps labs process samples the same way every time<br/><br/>When it makes sense to move from manual methods to semi-automated or fully automated homogenization<br/><br/>How labs can redeploy skilled scientists away from repetitive sample grinding and toward higher-value work<br/><br/>Why automation at the front end is increasingly necessary for modern drug development and high-throughput research<br/><br/>Who this is for:<br/>Lab managers, application scientists, translational and preclinical research teams, and anyone running tissue prep ahead of extraction, sequencing, or other downstream analysis—especially if your back-end workflow is advanced but your front-end process is still largely manual.<br/><br/>Subscribe for more practical, lab-tested conversations on building faster, cleaner, and more repeatable workflows at the front end of preclinical research—and drop your sample-prep questions in the comments so we can tackle them in a future</p>]]></content:encoded>
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    <itunes:author>Omni International - Automated Lab Sample Prep</itunes:author>
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    <pubDate>Tue, 31 Mar 2026 09:00:00 -0400</pubDate>
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