4 Publikationen

2024 | Preprint | ELSA-ID: 12400 | OA
S. Ramm, U. Odefey, B. Frahm, and M. Pein-Hackelbusch, “Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters.” bioRxiv, 2024. doi: 10.1101/2024.05.30.596619.
ELSA | DOI | Download (ext.)
 
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216 | OA
R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, and U. Odefey, “A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions,” Pharmaceutics, vol. 15, no. 8, Art. no. 2153, 2023, doi: https://doi.org/10.3390/pharmaceutics15082153.
ELSA | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
2023 | Konferenz - Vortrag | ELSA-ID: 9627
S. Ramm, R. Fulek, V. A. Eberle, C. Kiera, U. Odefey, and M. Pein-Hackelbusch, Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. 2023.
ELSA
 
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9568 | OA
S. Ramm, R. Fulek, V. A. Eberle, C. Kiera, U. Odefey, and M. Pein-Hackelbusch, “Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.,” Pharmaceutics, vol. 14, no. 11, Art. no. 2303, 2022, doi: https://doi.org/10.3390/pharmaceutics14112303.
ELSA | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 

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Zitationsstil: IEEE

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