Elevate Your Analysis with Data Quality Guidance: Mastersizer Xplorer's Essential Tool for Robust Experimental Results

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Navigating the complexities of data quality assessment is a common challenge for scientists striving for robust results in their experiments. The introduction of Data Quality Guidance within the Mastersizer Xplorer software offers a transformative solution to this longstanding issue.

By leveraging advanced machine learning capabilities, Data Quality Guidance proactively screens for a diverse array of potential data quality issues, saving users valuable time typically spent troubleshooting. It streamlines the analytical process by promptly identifying and flagging any anomalies, accompanied by a comprehensive list of causes and solutions ranked by likelihood.

Interested in confidently producing exceptional results? Then join this webinar to learn how Data Quality Guidance can help you with meaningful analysis rather than wrestling with data integrity concerns.


  • Jenny Burt - Senior Applications Specialist, Malvern Panalytical
  • Sarah Lastakchi - Application Development Scientist - R&D, Malvern Panalytical

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Who should attend? 

  • All laser diffraction enthusiast
  • Anyone struggling or looking to drive efficiency with laser diffraction

What will you learn? 

  • Understand the common challenges scientists face in assessing data quality in their experiments
  • Learn how Data Quality Guidance in Mastersizer Xplorer software addresses these challenges by swiftly identifying and prioritizing potential issues
  • Gain actionable insights into how implementing Data Quality Guidance can streamline the analytical process and alleviate the burden of troubleshooting, ultimately enhancing confidence in experimental results

Pixels To Particles Webinar Series: Maximizing Laser Diffraction Insights With Advanced Software Tools

In this three-part webinar series, we will explore groundbreaking easy-to-use features from Mastersizer 3000+  that will elevate your work with unparalleled precision and efficiency. 

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