Automated tomographic assessment of structural defects of freeze-dried pharmaceuticals

Patric Müller; Achim Sack; Jens Dümler; Michael Heckel; Tim Wenzel; Teresa Siegert; Sonja Schuldt-Lieb; Henning Gieseler; Thorsten Pöschel

arXiv · 2404.11867

Automated tomographic assessment of structural defects of freeze-dried pharmaceuticals

Patric Müller·Achim Sack·Jens Dümler·Michael Heckel·Tim Wenzel·Teresa Siegert·Sonja Schuldt-Lieb·Henning Gieseler·Thorsten Pöschel

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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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Patric Müller, Achim Sack, Jens Dümler, Michael Heckel, Tim Wenzel, Teresa Siegert, Sonja Schuldt-Lieb, Henning Gieseler, Thorsten Pöschel. 2024-04-18. Automated tomographic assessment of structural defects of freeze-dried pharmaceuticals. https://arxiv.org/abs/2404.11867

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