Patric Müller, Achim Sack, Jens Dümler, Michael Heckel, Tim Wenzel, Teresa Siegert, Sonja Schuldt-Lieb, Henning Gieseler, Thorsten Pöschel
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引用次数: 0
Abstract
The topology and surface characteristics of lyophilisates significantly impact the stability and reconstitutability of freeze-dried pharmaceuticals. Consequently, visual quality control of the product is imperative. However, this procedure is not only time-consuming and labor-intensive but also expensive and prone to errors. In this paper, we present an approach for fully automated, non-destructive inspection of freeze-dried pharmaceuticals, leveraging robotics, computed tomography, and machine learning.
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