Automated tomographic assessment of structural defects of freeze-dried pharmaceuticals

2024/04/18 by Patric Müller, Müller, Patric, Sack, Achim +14
Materials Science · Medicine · #Applied Physics (physics.app-ph) #Biomedical engineering #Computed tomographic #Computed tomography #Computer science #Crystallization and Solubility Studies #FOS: Physical sciences #Medicine #Radiology #Soft Condensed Matter (cond-mat.soft)

paper · pdf · doi:10.48550/arxiv.2404.11867

openalex publication_date 2024/04/18 · openalex created_date 2024/04/20 · openalex updated_date 2026/07/28

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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