Müller P, Sack A, Dümler J, Heckel M, Wenzel T, Siegert T, Schuldt-Lieb S, Gieseler H, Pöschel T (2024)
Publication Type: Journal article
Publication year: 2024
Book Volume: 25
Article Number: 143
Journal Issue: 6
DOI: 10.1208/s12249-024-02833-7
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.
APA:
Müller, P., Sack, A., Dümler, J., Heckel, M., Wenzel, T., Siegert, T.,... Pöschel, T. (2024). Automated Tomographic Assessment of Structural Defects of Freeze-Dried Pharmaceuticals. Aaps Pharmscitech, 25(6). https://doi.org/10.1208/s12249-024-02833-7
MLA:
Müller, Patric, et al. "Automated Tomographic Assessment of Structural Defects of Freeze-Dried Pharmaceuticals." Aaps Pharmscitech 25.6 (2024).
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