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4 Publikationen


2024 | Preprint | ELSA-ID: 12400 | OA
Ramm, S., Odefey, U., Frahm, B., & Pein-Hackelbusch, M. (2024). Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters. bioRxiv. https://doi.org/10.1101/2024.05.30.596619
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2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216 | OA
Fulek, R., Ramm, S., Kiera, C., Pein-Hackelbusch, M., & Odefey, U. (2023). A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics, 15(8), Article 2153. https://doi.org/10.3390/pharmaceutics15082153
ELSA | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 

2023 | Konferenz - Vortrag | ELSA-ID: 9627
Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., & Pein-Hackelbusch, M. (2023). Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. Ph.D. Student’s Symposium on Tabletting Technology 2023, Rosenberg.
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2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9568 | OA
Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., & Pein-Hackelbusch, M. (2022). Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. Pharmaceutics, 14(11), Article 2303. https://doi.org/10.3390/pharmaceutics14112303
ELSA | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 

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