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Maximize Data Analysis with METTLER TOLEDO FBRM
Date:1/22/2009

METTLER TOLEDO FBRM® provides an information-rich method for tracking the number and dimension of particles or droplets as they actually exist in process. In any given particle system, there are specific and possibly unique, changes that are of critical importance to the user. This three part complimentary webinar series will provide you with the knowledge, information and best practices you need to maximize your data analysis.

Columbia, MD (PRWEB) January 22, 2009 -- METTLER TOLEDO invites you to attend a three part complimentary webinar series - Maximize Data Analysis with METTLER TOLEDO FBRM® - presented by Eric Dycus, Particle System Characterization Technology and Application Consultant, beginning on January 27, 2009.

Part I - Mechanisms of Particle Change - Tuesday, January 27
How does FBRM® track particle agglomeration, breakage, attrition, nucleation, growth, and shape? How can users extract a mechanistic understanding of these changes from FBRM® data? Part I will provide examples of particle changes as characterized by FBRM® and PVM®. Example of particle agglomeration, growth, breakage, and shape change will be presented providing you with a foundation on how various particle changes manifest in the data. By using the correct analysis tools, weighing, and statistics, specific particle changes can be understood and optimized with maximum precision.

Part II - Correlating FBRM® Directly to Process Efficiency and Product Quality - Tuesday, February 10
How can FBRM® be correlated to predict downstream process efficiency or product quality? How can FBRM® be correlated to an offl
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