5 Publikationen
2025 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 13315 | 
S. Uhlendorff, U. Odefey, B. Frahm, and M. Pein-Hackelbusch, “Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture,” Chemie Ingenieur Technik, Art. no. cite. 70048, 2025, doi: 10.1002/cite.70048.
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2024 | Preprint | ELSA-ID: 12400 |
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.
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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.
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2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216 |
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.
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2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9568 |
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.
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5 Publikationen
2025 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 13315 |
S. Uhlendorff, U. Odefey, B. Frahm, and M. Pein-Hackelbusch, “Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture,” Chemie Ingenieur Technik, Art. no. cite. 70048, 2025, doi: 10.1002/cite.70048.
ELSA
| DOI
| Download (ext.)
2024 | Preprint | ELSA-ID: 12400 |
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 | 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
2023 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 10216 |
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
2022 | Zeitschriftenaufsatz (wiss.) | ELSA-ID: 9568 |
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