[{"type":"conference_editor_article","date_created":"2026-03-06T08:52:51Z","publication_identifier":{"eisbn":["979-8-3315-9322-3"],"isbn":["979-8-3315-9323-0"]},"publication":"2025 International Workshop on Impedance Spectroscopy (IWIS)","date_updated":"2026-04-08T11:28:18Z","user_id":"83778","doi":"10.1109/iwis69004.2025.11339388","_id":"13475","language":[{"iso":"eng"}],"keyword":["cell culture","impedance spectroscopy","partial least squares","ridge regression"],"place":"New York","title":"Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis","publication_status":"published","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Uhlendorff, Selina</span> ; <span style=\"font-variant:small-caps;\">Burankova, Tatsiana</span> ; <span style=\"font-variant:small-caps;\">Dahlmann, Katharina</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. New York : IEEE, 2026","chicago-de":"Uhlendorff, Selina, Tatsiana Burankova, Katharina Dahlmann, Björn Frahm und Miriam Pein-Hackelbusch. 2026. <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. <i>2025 International Workshop on Impedance Spectroscopy (IWIS)</i>. New York: IEEE. doi:<a href=\"https://doi.org/10.1109/iwis69004.2025.11339388\">10.1109/iwis69004.2025.11339388</a>, .","short":"S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch, Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis, IEEE, New York, 2026.","mla":"Uhlendorff, Selina, et al. “Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis.” <i>2025 International Workshop on Impedance Spectroscopy (IWIS)</i>, IEEE, 2026, pp. 34–39, <a href=\"https://doi.org/10.1109/iwis69004.2025.11339388\">https://doi.org/10.1109/iwis69004.2025.11339388</a>.","bjps":"<b>Uhlendorff S <i>et al.</i></b> (2026) <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. New York: IEEE.","havard":"S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch, Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis, IEEE, New York, 2026.","ufg":"<b>Uhlendorff, Selina u. a.</b>: Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis, New York 2026.","van":"Uhlendorff S, Burankova T, Dahlmann K, Frahm B, Pein-Hackelbusch M. Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis. 2025 International Workshop on Impedance Spectroscopy (IWIS). New York: IEEE; 2026.","chicago":"Uhlendorff, Selina, Tatsiana Burankova, Katharina Dahlmann, Björn Frahm, and Miriam Pein-Hackelbusch. <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. <i>2025 International Workshop on Impedance Spectroscopy (IWIS)</i>. New York: IEEE, 2026. <a href=\"https://doi.org/10.1109/iwis69004.2025.11339388\">https://doi.org/10.1109/iwis69004.2025.11339388</a>.","apa":"Uhlendorff, S., Burankova, T., Dahlmann, K., Frahm, B., &#38; Pein-Hackelbusch, M. (2026). Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis. In <i>2025 International Workshop on Impedance Spectroscopy (IWIS)</i> (pp. 34–39). IEEE. <a href=\"https://doi.org/10.1109/iwis69004.2025.11339388\">https://doi.org/10.1109/iwis69004.2025.11339388</a>","ama":"Uhlendorff S, Burankova T, Dahlmann K, Frahm B, Pein-Hackelbusch M. <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. IEEE; 2026:34-39. doi:<a href=\"https://doi.org/10.1109/iwis69004.2025.11339388\">10.1109/iwis69004.2025.11339388</a>","ieee":"S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, and M. Pein-Hackelbusch, <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. New York: IEEE, 2026, pp. 34–39. doi: <a href=\"https://doi.org/10.1109/iwis69004.2025.11339388\">10.1109/iwis69004.2025.11339388</a>."},"abstract":[{"text":"In the context of data-driven bioprocess modeling, selecting appropriate regression models remains a critical challenge. This is especially the case when dealing with time-dependent process dynamics and complex measurement data. The practical relevance of this study lies in its critical assessment of the application constraints associated with multivariate linear regression models in bioprocess monitoring of cell culture processes. The applicability of Partial Least Squares and Ridge regression was evaluated for different cultivation phases. The results emphasize that no single linear modeling approach is universally suitable for capturing the complex behavior of mammalian cell cultures. This is why we present an enhanced segmented modeling approach by learning the optimal transition point from data and introducing a gradual model switch, allowing for smoother and more robust adaptation to process dynamics. This segmented model led to improved predictive performance compared to single-model regression across the entire process duration. Nevertheless, the heterogeneity of the 11 mammalian cell culture datasets used in this study posed significant challenges, with the best-performing models achieving prediction error of around 0.31 of the average offline viable cell density. These results underline the potential of phase-adaptive modeling, while also emphasizing the need for further optimization to robustly handle diverse bioprocess conditions.","lang":"eng"}],"conference":{"end_date":"2025-09-26","start_date":"2025-09-23","location":"Chemnitz","name":"2025 International Workshop on Impedance Spectroscopy (IWIS)"},"department":[{"_id":"DEP4028"}],"author":[{"id":"68713","last_name":"Uhlendorff","full_name":"Uhlendorff, Selina","first_name":"Selina","orcid":"https://orcid.org/0000-0002-0502-8032"},{"first_name":"Tatsiana","full_name":"Burankova, Tatsiana","last_name":"Burankova"},{"first_name":"Katharina","last_name":"Dahlmann","full_name":"Dahlmann, Katharina"},{"last_name":"Frahm","id":"45666","full_name":"Frahm, Björn","first_name":"Björn"},{"last_name":"Pein-Hackelbusch","full_name":"Pein-Hackelbusch, Miriam","id":"64952","first_name":"Miriam","orcid":"0000-0002-7920-0595"}],"year":"2026","publisher":"IEEE","page":"34-39","status":"public"},{"language":[{"iso":"eng"}],"_id":"13223","date_created":"2025-09-29T08:37:10Z","type":"conference_poster","user_id":"45666","related_material":{"link":[{"relation":"confirmation","url":"https://www.tu-chemnitz.de/etit/messtech/iwis/program.php"}]},"date_updated":"2026-03-27T16:51:16Z","author":[{"full_name":"Uhlendorff, Selina","first_name":"Selina","id":"68713","last_name":"Uhlendorff","orcid":"https://orcid.org/0000-0002-0502-8032"},{"first_name":"Tatsiana","full_name":"Burankova, Tatsiana","last_name":"Burankova"},{"first_name":"Katharina","full_name":"Dahlmann, Katharina","last_name":"Dahlmann"},{"first_name":"Björn","full_name":"Frahm, Björn","id":"45666","last_name":"Frahm"},{"first_name":"Miriam","last_name":"Pein-Hackelbusch","full_name":"Pein-Hackelbusch, Miriam","id":"64952","orcid":"0000-0002-7920-0595"}],"year":"2025","department":[{"_id":"DEP4028"},{"_id":"DEP4021"}],"conference":{"location":"Chemnitz","name":"18th International Workshop on Impedance Spectroscopy","end_date":"2025-09-26","start_date":"2025-09-23"},"status":"public","title":"Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis","citation":{"havard":"S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch, Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis, 2025.","mla":"Uhlendorff, Selina, et al. <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. 2025.","bjps":"<b>Uhlendorff S <i>et al.</i></b> (2025) <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. .","ufg":"<b>Uhlendorff, Selina u. a.</b>: Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis, o. O. 2025.","van":"Uhlendorff S, Burankova T, Dahlmann K, Frahm B, Pein-Hackelbusch M. Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis. 2025.","chicago":"Uhlendorff, Selina, Tatsiana Burankova, Katharina Dahlmann, Björn Frahm, and Miriam Pein-Hackelbusch. <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>, 2025.","apa":"Uhlendorff, S., Burankova, T., Dahlmann, K., Frahm, B., &#38; Pein-Hackelbusch, M. (2025). <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. 18th International Workshop on Impedance Spectroscopy, Chemnitz.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Uhlendorff, Selina</span> ; <span style=\"font-variant:small-caps;\">Burankova, Tatsiana</span> ; <span style=\"font-variant:small-caps;\">Dahlmann, Katharina</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>, 2025","chicago-de":"Uhlendorff, Selina, Tatsiana Burankova, Katharina Dahlmann, Björn Frahm und Miriam Pein-Hackelbusch. 2025. <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>.","short":"S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, M. Pein-Hackelbusch, Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis, 2025.","ama":"Uhlendorff S, Burankova T, Dahlmann K, Frahm B, Pein-Hackelbusch M. <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>.; 2025.","ieee":"S. Uhlendorff, T. Burankova, K. Dahlmann, B. Frahm, and M. Pein-Hackelbusch, <i>Application Constraints of Linear Multivariate Regression Models for Dielectric Spectroscopy in Inline Bioreactor Viable Cell Analysis</i>. 2025."},"publication_status":"published"},{"oa":"1","keyword":["Cell density","Cell enumeration","Cell viability","CHO-K1"],"language":[{"iso":"eng"}],"publication":"Chemie Ingenieur Technik","publication_identifier":{"eissn":["1522-2640"],"issn":["0009-286X"]},"date_created":"2025-12-08T07:26:52Z","date_updated":"2026-03-27T17:14:42Z","year":"2025","main_file_link":[{"open_access":"1"}],"author":[{"orcid":"https://orcid.org/0000-0002-0502-8032","first_name":"Selina","id":"68713","last_name":"Uhlendorff","full_name":"Uhlendorff, Selina"},{"last_name":"Odefey","id":"74218","full_name":"Odefey, Ulrich","first_name":"Ulrich"},{"first_name":"Björn","id":"45666","full_name":"Frahm, Björn","last_name":"Frahm"},{"orcid":"0000-0002-7920-0595","full_name":"Pein-Hackelbusch, Miriam","id":"64952","last_name":"Pein-Hackelbusch","first_name":"Miriam"}],"status":"public","page":"57–68","title":"Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture","citation":{"chicago-de":"Uhlendorff, Selina, Ulrich Odefey, Björn Frahm und Miriam Pein-Hackelbusch. 2025. Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. <i>Chemie Ingenieur Technik</i> 98, Nr. 1–2: 57–68. doi:<a href=\"https://doi.org/10.1002/cite.70048\">10.1002/cite.70048</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Uhlendorff, Selina</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. In: <i>Chemie Ingenieur Technik</i> Bd. 98. Weinheim, Wiley (2025), Nr. 1–2, S. 57–68","short":"S. Uhlendorff, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Chemie Ingenieur Technik 98 (2025) 57–68.","bjps":"<b>Uhlendorff S <i>et al.</i></b> (2025) Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. <i>Chemie Ingenieur Technik</i> <b>98</b>, 57–68.","mla":"Uhlendorff, Selina, et al. “Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture.” <i>Chemie Ingenieur Technik</i>, vol. 98, no. 1–2, 2025, pp. 57–68, <a href=\"https://doi.org/10.1002/cite.70048\">https://doi.org/10.1002/cite.70048</a>.","havard":"S. Uhlendorff, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture, Chemie Ingenieur Technik. 98 (2025) 57–68.","ufg":"<b>Uhlendorff, Selina u. a.</b>: Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture, in: <i>Chemie Ingenieur Technik</i> 98 (2025), H. 1–2,  S. 57–68.","van":"Uhlendorff S, Odefey U, Frahm B, Pein-Hackelbusch M. Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. Chemie Ingenieur Technik. 2025;98(1–2):57–68.","chicago":"Uhlendorff, Selina, Ulrich Odefey, Björn Frahm, and Miriam Pein-Hackelbusch. “Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture.” <i>Chemie Ingenieur Technik</i> 98, no. 1–2 (2025): 57–68. <a href=\"https://doi.org/10.1002/cite.70048\">https://doi.org/10.1002/cite.70048</a>.","apa":"Uhlendorff, S., Odefey, U., Frahm, B., &#38; Pein-Hackelbusch, M. (2025). Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. <i>Chemie Ingenieur Technik</i>, <i>98</i>(1–2), 57–68. <a href=\"https://doi.org/10.1002/cite.70048\">https://doi.org/10.1002/cite.70048</a>","ama":"Uhlendorff S, Odefey U, Frahm B, Pein-Hackelbusch M. Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture. <i>Chemie Ingenieur Technik</i>. 2025;98(1-2):57-68. doi:<a href=\"https://doi.org/10.1002/cite.70048\">10.1002/cite.70048</a>","ieee":"S. Uhlendorff, U. Odefey, B. Frahm, and M. Pein-Hackelbusch, “Performance Comparison between Semi‐Automated and Manual Cell Counting for Animal Cell Culture,” <i>Chemie Ingenieur Technik</i>, vol. 98, no. 1–2, pp. 57–68, 2025, doi: <a href=\"https://doi.org/10.1002/cite.70048\">10.1002/cite.70048</a>."},"volume":98,"place":"Weinheim","_id":"13315","doi":"10.1002/cite.70048","type":"scientific_journal_article","user_id":"45666","intvolume":"        98","department":[{"_id":"DEP4029"},{"_id":"DEP4028"}],"abstract":[{"lang":"eng","text":"Determining cell density and viability with (semi‐)automated methods enables rapid cell cultivation analysis. However, scientific validation is required, typically by comparing results to manual counting. To address this, we present a method to evaluate and compare two cell counting methods exemplified by a manual and a semi‐automated method (Countstar BioTech). Experiments followed validation parameters aligned with the International Council for Harmonization (ICH) Q2(R1) guideline and a dilution series design based on ISO 20391‐2:2019. Both the semi‐automated and manual methods showed comparable specificity and linearity for Chinese hamster ovary (CHO)‐K1 cells. The semi‐automated method exhibited superior repeatability for total cell density, whereas cell viability results showed no significant difference."}],"issue":"1-2","publisher":"Wiley","quality_controlled":"1","publication_status":"published"},{"date_updated":"2025-07-29T13:23:30Z","user_id":"83781","date_created":"2025-01-29T13:48:31Z","type":"preprint","doi":"10.1101/2024.05.30.596619","_id":"12400","language":[{"iso":"eng"}],"oa":"1","publication_status":"published","citation":{"ieee":"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: <a href=\"https://doi.org/10.1101/2024.05.30.596619\">10.1101/2024.05.30.596619</a>.","ama":"Ramm S, Odefey U, Frahm B, Pein-Hackelbusch M. Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters. Published online 2024. doi:<a href=\"https://doi.org/10.1101/2024.05.30.596619\">10.1101/2024.05.30.596619</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters, bioRxiv (2024)","chicago-de":"Ramm, Selina, Ulrich Odefey, Björn Frahm und Miriam Pein-Hackelbusch. 2024. Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters. bioRxiv. doi:<a href=\"https://doi.org/10.1101/2024.05.30.596619\">10.1101/2024.05.30.596619</a>, .","short":"S. Ramm, U. Odefey, B. Frahm, M. Pein-Hackelbusch, (2024).","chicago":"Ramm, Selina, Ulrich Odefey, Björn Frahm, and Miriam Pein-Hackelbusch. “Semi-Automated vs. Manual: Comparative Study of Cell Culture Counting Methods Using Validation Parameters.” bioRxiv, 2024. <a href=\"https://doi.org/10.1101/2024.05.30.596619\">https://doi.org/10.1101/2024.05.30.596619</a>.","apa":"Ramm, S., Odefey, U., Frahm, B., &#38; Pein-Hackelbusch, M. (2024). <i>Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters</i>. bioRxiv. <a href=\"https://doi.org/10.1101/2024.05.30.596619\">https://doi.org/10.1101/2024.05.30.596619</a>","ufg":"<b>Ramm, Selina u. a.</b>: Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters, o. O. 2024.","havard":"S. Ramm, U. Odefey, B. Frahm, M. Pein-Hackelbusch, Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters, (2024).","mla":"Ramm, Selina, et al. <i>Semi-Automated vs. Manual: Comparative Study of Cell Culture Counting Methods Using Validation Parameters</i>. bioRxiv, 2024, <a href=\"https://doi.org/10.1101/2024.05.30.596619\">https://doi.org/10.1101/2024.05.30.596619</a>.","bjps":"<b>Ramm S <i>et al.</i></b> (2024) Semi-Automated vs. Manual: Comparative Study of Cell Culture Counting Methods Using Validation Parameters.","van":"Ramm S, Odefey U, Frahm B, Pein-Hackelbusch M. Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters. bioRxiv; 2024."},"title":"Semi-automated vs. manual: Comparative study of cell culture counting methods using validation parameters","publisher":"bioRxiv","status":"public","abstract":[{"lang":"eng","text":"Determining cell density and cell viability is fundamental for any cell cultivation process. In addition to the manual counting method using hemocytometers, (semi-)automated methods offer advantages such as lower variability and shortened analysis times. However, these methods should provide at least comparable results to the manual method, which is why a comparison of methods is essential. We conducted a dilution series experimental design according to ISO 20391-2:2019 and compared two cell counting methods based on validation parameters aligned with the ICH Q2(R1) guideline. Regarding specificity and linearity, the manual (hemocytometer) and semi-automated (Countstar BioTech®) method exhibited similar results in the two evaluated characteristics total cell density and cell viability of CHO-K1 cells. Regarding repeatability of determining total cell density, the semi-automated method achieved significant (α = 0.05) better results with average relative standard deviations of < 6 %, than the manual method with average relative standard deviations of > 9 %. Concerning repeatability of the cell viability measurement, no significant difference between the two methods were shown. These results show the suitabililty of the dilution series experimental design. For the applied example, they indicate that the investigated semi-automated method is an appropriate alternative to the manual method."}],"department":[{"_id":"DEP4000"},{"_id":"DEP4028"},{"_id":"DEP4014"}],"main_file_link":[{"open_access":"1","url":"https://www.biorxiv.org/content/10.1101/2024.05.30.596619v1"}],"year":"2024","author":[{"orcid":"https://orcid.org/0000-0002-0502-8032","full_name":"Ramm, Selina","id":"68713","last_name":"Ramm","first_name":"Selina"},{"first_name":"Ulrich","full_name":"Odefey, Ulrich","last_name":"Odefey","id":"74218"},{"full_name":"Frahm, Björn","first_name":"Björn","last_name":"Frahm","id":"45666"},{"orcid":"0000-0002-7920-0595","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","last_name":"Pein-Hackelbusch","id":"64952"}]},{"user_id":"83781","date_updated":"2024-08-02T13:57:27Z","type":"conference_poster","date_created":"2024-04-26T06:18:20Z","language":[{"iso":"eng"}],"_id":"11381","citation":{"ama":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. DECHEMA e.V.","ieee":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, and B. Frahm, <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. DECHEMA e.V.","mla":"Hernández Rodriguez, Tanja, et al. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. DECHEMA e.V.","havard":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, DECHEMA e.V., n.d.","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (n.d.) <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. DECHEMA e.V.","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. u. J. .","van":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based workflow for risk-based decision making in upstream development. DECHEMA e.V.;","chicago":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn Frahm. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. DECHEMA e.V., n.d.","apa":"Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., &#38; Frahm, B. (n.d.). <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.","chicago-de":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und Björn Frahm. <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. DECHEMA e.V.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: <i>A systematic, model-based workflow for risk-based decision making in upstream development</i> : DECHEMA e.V.","short":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development, DECHEMA e.V., n.d."},"publication_status":"accepted","title":"A systematic, model-based workflow for risk-based decision making in upstream development","status":"public","publisher":"DECHEMA e.V.","author":[{"id":"52466","last_name":"Hernández Rodriguez","full_name":"Hernández Rodriguez, Tanja","first_name":"Tanja"},{"orcid":"https://orcid.org/0000-0002-0502-8032","first_name":"Selina","last_name":"Ramm","id":"68713","full_name":"Ramm, Selina"},{"last_name":"Lange-Hegermann","full_name":"Lange-Hegermann, Markus","id":"71761","first_name":"Markus"},{"first_name":"Björn","full_name":"Frahm, Björn","last_name":"Frahm","id":"45666"}],"year":"2023","department":[{"_id":"DEP4000"}],"conference":{"end_date":"2023-09-21","start_date":"2023-09-17","name":"14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology","location":"Berlin, Germany"}},{"year":"2023","author":[{"id":"68713","full_name":"Ramm, Selina","first_name":"Selina","last_name":"Ramm","orcid":"https://orcid.org/0000-0002-0502-8032"},{"id":"52466","first_name":"Tanja","last_name":"Hernández Rodriguez","full_name":"Hernández Rodriguez, Tanja"},{"first_name":"Björn","id":"45666","last_name":"Frahm","full_name":"Frahm, Björn"},{"full_name":"Pein-Hackelbusch, Miriam","id":"64952","last_name":"Pein-Hackelbusch","first_name":"Miriam","orcid":"0000-0002-7920-0595"}],"main_file_link":[{"open_access":"1","url":"http://www.apz-rl.de/BioProcessingDays_2023/002_download/BPDs_2023_Tagungsbuch_Titel.pdf"}],"conference":{"end_date":"2023-09-21","start_date":"2023-09-17","location":"Berlin, Germany","name":"14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology"},"department":[{"_id":"DEP4000"}],"publisher":"DECHEMA e.V.","status":"public","title":"Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression ","citation":{"chicago":"Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm, and Miriam Pein-Hackelbusch. <i>Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression </i>. DECHEMA e.V., n.d.","apa":"Ramm, S., Hernández Rodriguez, T., Frahm, B., &#38; Pein-Hackelbusch, M. (n.d.). <i>Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression </i>. 14th European Congress of Chemical Engineering and 7th European Congress of Applied Biotechnology, Berlin, Germany. DECHEMA e.V.","havard":"S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression , DECHEMA e.V., n.d.","mla":"Ramm, Selina, et al. <i>Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression </i>. DECHEMA e.V.","bjps":"<b>Ramm S <i>et al.</i></b> (n.d.) <i>Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression </i>. DECHEMA e.V.","ufg":"<b>Ramm, Selina u. a.</b>: Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression , o. O. u. J. .","van":"Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression . DECHEMA e.V.;","chicago-de":"Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm und Miriam Pein-Hackelbusch. <i>Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression </i>. DECHEMA e.V.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: <i>Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression </i> : DECHEMA e.V.","short":"S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression , DECHEMA e.V., n.d.","ieee":"S. Ramm, T. Hernández Rodriguez, B. Frahm, and M. Pein-Hackelbusch, <i>Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression </i>. DECHEMA e.V.","ama":"Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. <i>Comparison of Preprocessing Methods of Dielectric Spectroscopy  Data and the Effects on Linear Regression </i>. DECHEMA e.V."},"publication_status":"accepted","oa":"1","_id":"11487","language":[{"iso":"eng"}],"type":"conference_poster","date_created":"2024-05-21T09:37:09Z","user_id":"83781","date_updated":"2024-05-21T09:37:15Z"},{"status":"public","conference":{"location":"Lemgo, Germany","name":"IEEE International Conference on Industrial Informatics, INDIN ’23","start_date":"2023-07-17","end_date":"2023-07-20"},"department":[{"_id":"DEP4000"}],"author":[{"orcid":"https://orcid.org/0000-0002-0502-8032","id":"68713","first_name":"Selina","last_name":"Uhlendorff","full_name":"Uhlendorff, Selina"},{"first_name":"Tanja","last_name":"Hernández Rodriguez","id":"52466","full_name":"Hernández Rodriguez, Tanja"},{"first_name":"Björn","last_name":"Frahm","full_name":"Frahm, Björn","id":"45666"},{"id":"64952","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","last_name":"Pein-Hackelbusch","orcid":"0000-0002-7920-0595"}],"year":"2023","citation":{"apa":"Uhlendorff, S., Hernández Rodriguez, T., Frahm, B., &#38; Pein-Hackelbusch, M. (2023). <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. IEEE International Conference on Industrial Informatics, INDIN ’23, Lemgo, Germany.","chicago":"Uhlendorff, Selina, Tanja Hernández Rodriguez, Björn Frahm, and Miriam Pein-Hackelbusch. <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>, 2023.","van":"Uhlendorff S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. 2023.","bjps":"<b>Uhlendorff S <i>et al.</i></b> (2023) <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. .","havard":"S. Uhlendorff, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities, 2023.","mla":"Uhlendorff, Selina, et al. <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. 2023.","ufg":"<b>Uhlendorff, Selina u. a.</b>: Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities, o. O. 2023.","short":"S. Uhlendorff, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities, 2023.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Uhlendorff, Selina</span> ; <span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>, 2023","chicago-de":"Uhlendorff, Selina, Tanja Hernández Rodriguez, Björn Frahm und Miriam Pein-Hackelbusch. 2023. <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>.","ieee":"S. Uhlendorff, T. Hernández Rodriguez, B. Frahm, and M. Pein-Hackelbusch, <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. 2023.","ama":"Uhlendorff S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>.; 2023."},"title":"Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities","language":[{"iso":"eng"}],"_id":"13650","date_updated":"2026-04-08T13:09:47Z","user_id":"83778","date_created":"2026-03-27T16:43:01Z","type":"conference_speech"},{"title":"A systematic, model-based workflow for risk-based decision making in upstream development","citation":{"din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>, 2023","chicago-de":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und Björn Frahm. 2023. <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>.","short":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development, 2023.","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. 2023.","mla":"Hernández Rodriguez, Tanja, et al. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. 2023.","havard":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, 2023.","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (2023) <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. .","van":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based workflow for risk-based decision making in upstream development. 2023.","chicago":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn Frahm. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>, 2023.","apa":"Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., &#38; Frahm, B. (2023). <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. BioProcessingDays 2023, Recklinghausen, Germany.","ama":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>.; 2023.","ieee":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, and B. Frahm, <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. 2023."},"publication_status":"published","year":"2023","author":[{"last_name":"Hernández Rodriguez","first_name":"Tanja","id":"52466","full_name":"Hernández Rodriguez, Tanja"},{"orcid":"https://orcid.org/0000-0002-0502-8032","id":"68713","first_name":"Selina","full_name":"Ramm, Selina","last_name":"Ramm"},{"id":"71761","first_name":"Markus","last_name":"Lange-Hegermann","full_name":"Lange-Hegermann, Markus"},{"full_name":"Frahm, Björn","last_name":"Frahm","id":"45666","first_name":"Björn"}],"main_file_link":[{"url":"http://www.apz-rl.de/BioProcessingDays_2023/002_download/BPDs_2023_Tagungsbuch_Titel.pdf","open_access":"1"}],"conference":{"start_date":"2023-02-27","end_date":"2023-03-01","name":"BioProcessingDays 2023","location":"Recklinghausen, Germany"},"department":[{"_id":"DEP4000"}],"status":"public","type":"conference_poster","date_created":"2023-08-08T14:54:44Z","user_id":"83781","date_updated":"2024-08-02T09:41:01Z","oa":"1","language":[{"iso":"eng"}],"_id":"10201"},{"intvolume":"        15","user_id":"83781","type":"scientific_journal_article","article_number":"2153","doi":"https://doi.org/10.3390/pharmaceutics15082153","_id":"10216","place":"Basel","publication_status":"published","isi":"1","quality_controlled":"1","publisher":"MDPI","issue":"8","abstract":[{"lang":"eng","text":"Wet granulation is a frequent process in the pharmaceutical industry. As a starting point for numerous dosage forms, the quality of the granulation not only affects subsequent production steps but also impacts the quality of the final product. It is thus crucial and economical to monitor this operation thoroughly. Here, we report on identifying different phases of a granulation process using a machine learning approach. The phases reflect the water content which, in turn, influences the processability and quality of the granule mass. We used two kinds of microphones and an acceleration sensor to capture acoustic emissions and vibrations. We trained convolutional neural networks (CNNs) to classify the different phases using transformed sound recordings as the input. We achieved a classification accuracy of up to 90% using vibrational data and an accuracy of up to 97% using the audible microphone data. Our results indicate the suitability of using audible sound and machine learning to monitor pharmaceutical processes. Moreover, since recording acoustic emissions is contactless, it readily complies with legal regulations and presents Good Manufacturing Practices."}],"department":[{"_id":"DEP4022"},{"_id":"DEP4028"},{"_id":"DEP4014"}],"date_updated":"2025-07-29T13:21:40Z","date_created":"2023-08-15T10:48:15Z","publication_identifier":{"eissn":["1999-4923 "]},"publication":"Pharmaceutics","language":[{"iso":"eng"}],"keyword":["wet granulation","acoustic classification","machine learning","convolutional neural networks"],"oa":"1","citation":{"chicago":"Fulek, Ruwen, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch, and Ulrich Odefey. “A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions.” <i>Pharmaceutics</i> 15, no. 8 (2023). <a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>.","apa":"Fulek, R., Ramm, S., Kiera, C., Pein-Hackelbusch, M., &#38; Odefey, U. (2023). A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. <i>Pharmaceutics</i>, <i>15</i>(8), Article 2153. <a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>","ufg":"<b>Fulek, Ruwen u. a.</b>: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions, in: <i>Pharmaceutics</i> 15 (2023), H. 8.","havard":"R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions, Pharmaceutics. 15 (2023).","bjps":"<b>Fulek R <i>et al.</i></b> (2023) A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions. <i>Pharmaceutics</i> <b>15</b>.","mla":"Fulek, Ruwen, et al. “A Machine Learning Approach to Qualitatively Evaluate Different Granulation Phases by Acoustic Emissions.” <i>Pharmaceutics</i>, vol. 15, no. 8, 2153, 2023, <a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>.","van":"Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. Pharmaceutics. 2023;15(8).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Fulek, Ruwen</span> ; <span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Kiera, Christian</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span>: A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. In: <i>Pharmaceutics</i> Bd. 15. Basel, MDPI (2023), Nr. 8","chicago-de":"Fulek, Ruwen, Selina Ramm, Christian Kiera, Miriam Pein-Hackelbusch und Ulrich Odefey. 2023. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. <i>Pharmaceutics</i> 15, Nr. 8. doi:<a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>, .","short":"R. Fulek, S. Ramm, C. Kiera, M. Pein-Hackelbusch, U. Odefey, Pharmaceutics 15 (2023).","ieee":"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,” <i>Pharmaceutics</i>, vol. 15, no. 8, Art. no. 2153, 2023, doi: <a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>.","ama":"Fulek R, Ramm S, Kiera C, Pein-Hackelbusch M, Odefey U. A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions. <i>Pharmaceutics</i>. 2023;15(8). doi:<a href=\"https://doi.org/10.3390/pharmaceutics15082153\">https://doi.org/10.3390/pharmaceutics15082153</a>"},"volume":15,"title":"A machine learning approach to qualitatively evaluate different granulation phases by acoustic emissions","pmid":"1","status":"public","external_id":{"pmid":["37631367"],"isi":["001119084200001"]},"year":"2023","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1999-4923/15/8/2153"}],"author":[{"first_name":"Ruwen","full_name":"Fulek, Ruwen","last_name":"Fulek","id":"79527"},{"orcid":"https://orcid.org/0000-0002-0502-8032","id":"68713","last_name":"Ramm","full_name":"Ramm, Selina","first_name":"Selina"},{"first_name":"Christian","last_name":"Kiera","full_name":"Kiera, Christian"},{"orcid":"0000-0002-7920-0595","id":"64952","full_name":"Pein-Hackelbusch, Miriam","last_name":"Pein-Hackelbusch","first_name":"Miriam"},{"last_name":"Odefey","id":"74218","full_name":"Odefey, Ulrich","first_name":"Ulrich"}]},{"year":"2023","author":[{"first_name":"Selina","id":"68713","last_name":"Ramm","full_name":"Ramm, Selina","orcid":"https://orcid.org/0000-0002-0502-8032"},{"full_name":"Hernández Rodriguez, Tanja","id":"52466","first_name":"Tanja","last_name":"Hernández Rodriguez"},{"last_name":"Frahm","first_name":"Björn","id":"45666","full_name":"Frahm, Björn"},{"id":"64952","full_name":"Pein-Hackelbusch, Miriam","last_name":"Pein-Hackelbusch","first_name":"Miriam","orcid":"0000-0002-7920-0595"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/10218012","open_access":"1"}],"page":"1-6","status":"public","title":"Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities","citation":{"chicago-de":"Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm und Miriam Pein-Hackelbusch. 2023. <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. Hg. von Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, und Institute of Electrical and Electronics Engineers . <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/INDIN51400.2023.10218012\">10.1109/INDIN51400.2023.10218012</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span> ; <span style=\"font-variant:small-caps;\">Jasperneite, J.</span> ; <span style=\"font-variant:small-caps;\">Wisniewski, L.</span> ; <span style=\"font-variant:small-caps;\">Fung Man, K.</span> ; <span style=\"font-variant:small-caps;\">Institute of Electrical and Electronics Engineers </span> (Hrsg.): <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. [Piscataway, NJ] : IEEE, 2023","short":"S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities, IEEE, [Piscataway, NJ], 2023.","ufg":"<b>Ramm, Selina u. a.</b>: Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities, hg. von Jasperneite, Jürgen u. a., [Piscataway, NJ] 2023.","havard":"S. Ramm, T. Hernández Rodriguez, B. Frahm, M. Pein-Hackelbusch, Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities, IEEE, [Piscataway, NJ], 2023.","mla":"Ramm, Selina, et al. “Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities.” <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>, edited by Jürgen Jasperneite et al., IEEE, 2023, pp. 1–6, <a href=\"https://doi.org/10.1109/INDIN51400.2023.10218012\">https://doi.org/10.1109/INDIN51400.2023.10218012</a>.","bjps":"<b>Ramm S <i>et al.</i></b> (2023) <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>, Jasperneite J et al. (eds). [Piscataway, NJ]: IEEE.","van":"Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. Jasperneite J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers , editors. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE; 2023.","chicago":"Ramm, Selina, Tanja Hernández Rodriguez, Björn Frahm, and Miriam Pein-Hackelbusch. <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. Edited by Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, and Institute of Electrical and Electronics Engineers . <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE, 2023. <a href=\"https://doi.org/10.1109/INDIN51400.2023.10218012\">https://doi.org/10.1109/INDIN51400.2023.10218012</a>.","apa":"Ramm, S., Hernández Rodriguez, T., Frahm, B., &#38; Pein-Hackelbusch, M. (2023). Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities. In J. Jasperneite, L. Wisniewski, K. Fung Man, &#38; Institute of Electrical and Electronics Engineers  (Eds.), <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i> (pp. 1–6). IEEE. <a href=\"https://doi.org/10.1109/INDIN51400.2023.10218012\">https://doi.org/10.1109/INDIN51400.2023.10218012</a>","ama":"Ramm S, Hernández Rodriguez T, Frahm B, Pein-Hackelbusch M. <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. (Jasperneite J, Wisniewski L, Fung Man K, Institute of Electrical and Electronics Engineers , eds.). IEEE; 2023:1-6. doi:<a href=\"https://doi.org/10.1109/INDIN51400.2023.10218012\">10.1109/INDIN51400.2023.10218012</a>","ieee":"S. Ramm, T. Hernández Rodriguez, B. Frahm, and M. Pein-Hackelbusch, <i>Systematic Preprocessing of Dielectric Spectroscopy Data and Estimating Viable Cell Densities</i>. [Piscataway, NJ]: IEEE, 2023, pp. 1–6. doi: <a href=\"https://doi.org/10.1109/INDIN51400.2023.10218012\">10.1109/INDIN51400.2023.10218012</a>."},"oa":"1","language":[{"iso":"eng"}],"keyword":["Spectroscopy","Smoothing methods","Systematics","Phase measurement","Linear regression","Data models","Dielectric measurement"],"date_created":"2023-11-21T08:17:12Z","publication":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","publication_identifier":{"isbn":["978-1-6654-9314-7"],"eisbn":["978-1-6654-9313-0"],"issn":["1935-4576"]},"editor":[{"full_name":"Jasperneite, Jürgen","last_name":"Jasperneite","id":"1899","first_name":"Jürgen"},{"first_name":"Lukasz","last_name":"Wisniewski","full_name":"Wisniewski, Lukasz","id":"1710"},{"full_name":"Fung Man, Kim","first_name":"Kim","last_name":"Fung Man"}],"corporate_editor":["Institute of Electrical and Electronics Engineers "],"date_updated":"2025-04-29T07:38:03Z","abstract":[{"text":"For process monitoring, an adequate data preprocessing is crucial to link accessible inline process data with offline measured target variables. Literature, however, does not provide systematic preprocessing strategies. The effects of five different preprocessing strategies on data from a Dielectric Spectroscopy system applied to the Viable Cell Density (VCD) of a mammalian cell cultivation were thus evaluated. Single-frequency measurements are typically used to model the VCD over the growth phase using linear regression or the Cole-Cole model and served as a reference. As multi-frequency measurement is promising to model the VCD beyond the growth phase using Partial Least Squares Regression (PLSR), we further aimed to determine, whether replacing linear regression by PLSR shows comparable modeling performance. All five preprocessing strategies led to comparable results. Exemplary, when using capacitance values at a frequency of 3347 kHz, linear regression resulted in a R2 of 0.90 and a standard deviation of 0.4 % on average. Both normalization techniques had the same positive effect on the results of PLSR. The order of smoothing and normalization was irrelevant for both regression methods. Comparing the results of linear regression and PLSR, the latter obtained on average 9 % better results. Therefore, we concluded that PLSR is preferable over linear regression and is potentially suitable to model the VCD beyond the growth phase, which is suggested to be investigated based on more data sets.","lang":"eng"}],"department":[{"_id":"DEP4022"},{"_id":"DEP4028"}],"conference":{"start_date":"2023-07-18","end_date":"2023-07-20","location":"Lemgo","name":"21st International Conference on Industrial Informatics (INDIN)"},"publisher":"IEEE","publication_status":"published","doi":"10.1109/INDIN51400.2023.10218012","_id":"10788","place":"[Piscataway, NJ]","type":"conference_editor_article","user_id":"83781"},{"publication_status":"published","citation":{"chicago":"Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich Odefey, and Miriam Pein-Hackelbusch. <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>, 2023.","ieee":"S. Ramm, R. Fulek, V. A. Eberle, C. Kiera, U. Odefey, and M. Pein-Hackelbusch, <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>. 2023.","apa":"Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., &#38; Pein-Hackelbusch, M. (2023). <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>. Ph.D. Student’s Symposium on Tabletting Technology 2023, Rosenberg.","mla":"Ramm, Selina, et al. <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>. 2023.","havard":"S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, 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.","bjps":"<b>Ramm S <i>et al.</i></b> (2023) <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>. .","ufg":"<b>Ramm, Selina u. a.</b>: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation, o. O. 2023.","ama":"Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>.; 2023.","van":"Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. 2023.","chicago-de":"Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich Odefey und Miriam Pein-Hackelbusch. 2023. <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Fulek, Ruwen</span> ; <span style=\"font-variant:small-caps;\">Eberle, Veronika Anna</span> ; <span style=\"font-variant:small-caps;\">Kiera, Christian</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: <i>Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation</i>, 2023","short":"S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, 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."},"title":"Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation","status":"public","conference":{"location":"Rosenberg","name":"Ph.D. Student's Symposium on Tabletting Technology 2023","start_date":"2023-03-13","end_date":"2023-03-15"},"department":[{"_id":"DEP4022"},{"_id":"DEP4028"},{"_id":"DEP4014"}],"year":"2023","author":[{"orcid":"https://orcid.org/0000-0002-0502-8032","first_name":"Selina","id":"68713","full_name":"Ramm, Selina","last_name":"Ramm"},{"last_name":"Fulek","id":"79527","full_name":"Fulek, Ruwen","first_name":"Ruwen"},{"last_name":"Eberle","first_name":"Veronika Anna","full_name":"Eberle, Veronika Anna"},{"first_name":"Christian","last_name":"Kiera","full_name":"Kiera, Christian"},{"full_name":"Odefey, Ulrich","id":"74218","first_name":"Ulrich","last_name":"Odefey"},{"full_name":"Pein-Hackelbusch, Miriam","first_name":"Miriam","id":"64952","last_name":"Pein-Hackelbusch","orcid":"0000-0002-7920-0595"}],"date_updated":"2025-07-29T13:23:12Z","user_id":"83781","type":"conference_speech","date_created":"2023-03-16T09:46:10Z","language":[{"iso":"eng"}],"_id":"9627"},{"_id":"7932","language":[{"iso":"eng"}],"type":"conference_poster","date_created":"2022-05-04T19:35:20Z","date_updated":"2024-08-02T13:57:53Z","user_id":"83781","department":[{"_id":"DEP4021"}],"conference":{"location":"Barcelona, Spain","name":"5th annual Bioprocessing Summit Europe","start_date":"2022-03-22","end_date":"2022-03-24"},"year":"2022","author":[{"first_name":"Tanja","full_name":"Hernández Rodriguez, Tanja","last_name":"Hernández Rodriguez","id":"52466"},{"orcid":"https://orcid.org/0000-0002-0502-8032","last_name":"Ramm","full_name":"Ramm, Selina","first_name":"Selina","id":"68713"},{"first_name":"Markus","full_name":"Lange-Hegermann, Markus","last_name":"Lange-Hegermann","id":"71761"},{"full_name":"Frahm, Björn","id":"45666","last_name":"Frahm","first_name":"Björn"}],"status":"public","title":"A systematic, model-based workflow for risk-based decision making in upstream development","publication_status":"accepted","citation":{"chicago":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann, and Björn Frahm. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>, n.d.","ieee":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, and B. Frahm, <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>.","apa":"Hernández Rodriguez, T., Ramm, S., Lange-Hegermann, M., &#38; Frahm, B. (n.d.). <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>. 5th annual Bioprocessing Summit Europe, Barcelona, Spain.","havard":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A systematic, model-based workflow for risk-based decision making in upstream development, n.d.","mla":"Hernández Rodriguez, Tanja, et al. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>.","bjps":"<b>Hernández Rodriguez T <i>et al.</i></b> (n.d.) <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>. .","ufg":"<b>Hernández Rodriguez, Tanja u. a.</b>: A systematic, model-based workflow for risk-based decision making in upstream development, o. O. u. J. .","ama":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. <i>A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development</i>.","van":"Hernández Rodriguez T, Ramm S, Lange-Hegermann M, Frahm B. A systematic, model-based workflow for risk-based decision making in upstream development.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>","chicago-de":"Hernández Rodriguez, Tanja, Selina Ramm, Markus Lange-Hegermann und Björn Frahm. <i>A systematic, model-based workflow for risk-based decision making in upstream development</i>.","short":"T. Hernández Rodriguez, S. Ramm, M. Lange-Hegermann, B. Frahm, A Systematic, Model-Based Workflow for Risk-Based Decision Making in Upstream Development, n.d."}},{"publication_identifier":{"eissn":["1999-4923"]},"publication":"Pharmaceutics","date_created":"2023-03-03T11:23:01Z","date_updated":"2025-07-29T13:22:53Z","oa":"1","keyword":["wet granulation","liquid requirement","granulation endpoint","compression density"],"language":[{"iso":"eng"}],"title":"Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.","volume":14,"citation":{"ieee":"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.,” <i>Pharmaceutics</i>, vol. 14, no. 11, Art. no. 2303, 2022, doi: <a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>.","ama":"Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. <i>Pharmaceutics</i>. 2022;14(11). doi:<a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>","chicago":"Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich Odefey, and Miriam Pein-Hackelbusch. “Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.” <i>Pharmaceutics</i> 14, no. 11 (2022). <a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>.","apa":"Ramm, S., Fulek, R., Eberle, V. A., Kiera, C., Odefey, U., &#38; 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. <i>Pharmaceutics</i>, <i>14</i>(11), Article 2303. <a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>","ufg":"<b>Ramm, Selina u. a.</b>: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation., in: <i>Pharmaceutics</i> 14 (2022), H. 11.","bjps":"<b>Ramm S <i>et al.</i></b> (2022) Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. <i>Pharmaceutics</i> <b>14</b>.","mla":"Ramm, Selina, et al. “Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation.” <i>Pharmaceutics</i>, vol. 14, no. 11, 2303, 2022, <a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>.","havard":"S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, 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. 14 (2022).","van":"Ramm S, Fulek R, Eberle VA, Kiera C, Odefey U, Pein-Hackelbusch M. Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. Pharmaceutics. 2022;14(11).","chicago-de":"Ramm, Selina, Ruwen Fulek, Veronika Anna Eberle, Christian Kiera, Ulrich Odefey und Miriam Pein-Hackelbusch. 2022. Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. <i>Pharmaceutics</i> 14, Nr. 11. doi:<a href=\"https://doi.org/10.3390/pharmaceutics14112303\">https://doi.org/10.3390/pharmaceutics14112303</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ramm, Selina</span> ; <span style=\"font-variant:small-caps;\">Fulek, Ruwen</span> ; <span style=\"font-variant:small-caps;\">Eberle, Veronika Anna</span> ; <span style=\"font-variant:small-caps;\">Kiera, Christian</span> ; <span style=\"font-variant:small-caps;\">Odefey, Ulrich</span> ; <span style=\"font-variant:small-caps;\">Pein-Hackelbusch, Miriam</span>: Compression Density as an Alternative to Identify an Optimal Moisture Content for High Shear Wet Granulation as an Initial Step for Spheronisation. In: <i>Pharmaceutics</i> Bd. 14. Basel, MDPI (2022), Nr. 11","short":"S. Ramm, R. Fulek, V.A. Eberle, C. Kiera, U. Odefey, M. Pein-Hackelbusch, Pharmaceutics 14 (2022)."},"author":[{"id":"68713","first_name":"Selina","full_name":"Ramm, Selina","last_name":"Ramm","orcid":"https://orcid.org/0000-0002-0502-8032"},{"first_name":"Ruwen","id":"79527","last_name":"Fulek","full_name":"Fulek, Ruwen"},{"full_name":"Eberle, Veronika Anna","first_name":"Veronika Anna","last_name":"Eberle"},{"first_name":"Christian","full_name":"Kiera, Christian","last_name":"Kiera"},{"first_name":"Ulrich","last_name":"Odefey","id":"74218","full_name":"Odefey, Ulrich"},{"id":"64952","last_name":"Pein-Hackelbusch","first_name":"Miriam","full_name":"Pein-Hackelbusch, Miriam","orcid":"0000-0002-7920-0595"}],"year":"2022","main_file_link":[{"open_access":"1","url":"https://www.mdpi.com/1999-4923/14/11/2303"}],"external_id":{"pmid":["36365122"],"isi":["000883998100001"]},"status":"public","pmid":"1","type":"scientific_journal_article","user_id":"83781","intvolume":"        14","place":"Basel","_id":"9568","article_number":"2303","doi":"https://doi.org/10.3390/pharmaceutics14112303","isi":"1","publication_status":"published","department":[{"_id":"DEP4022"},{"_id":"DEP4028"},{"_id":"DEP4014"}],"issue":"11","abstract":[{"lang":"eng","text":"Pellet production is a multi-step manufacturing process comprising granulation, extrusion and spheronisation. The first step represents a critical control point, since the quality of the granule mass highly influences subsequent process steps and, consequently, the quality of final pellets. The most important parameter of wet granulation is the liquid requirement, which can often only be quantitatively evaluated after further process steps. To identify an alternative for optimal liquid requirements, experiments were conducted with a formulation based on lactose and microcrystalline cellulose. Granules were analyzed with a Powder Vertical Shear Rig. We identified the compression density (ρpress) as the said alternative, linking information from the powder material and the moisture content (R2 = 0.995). We used ρpress to successfully predict liquid requirements for unknown formulation compositions. By means of this prediction, pellets with high quality, regarding shape and size distribution, were produced by carrying out a multi-step manufacturing process. Furthermore, the applicability of ρpress as an alternative quality parameter to other placebo formulations and to formulations containing active pharmaceutical ingredients (APIs) was demonstrated."}],"publisher":"MDPI"}]