@inbook{2397,
  author       = {{Hernández Rodríguez, Tanja and Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology - Methods and Protocols}},
  editor       = {{Pörtner, Ralf}},
  isbn         = {{978-1-07-160190-7}},
  issn         = {{1064-3745}},
  pages        = {{251--267}},
  publisher    = {{Springer}},
  title        = {{{Design, Optimization and Adaptive Control of Cell Culture Seed Trains}}},
  doi          = {{10.1007/978-1-0716-0191-4_14}},
  volume       = {{2095}},
  year         = {{2020}},
}

@inbook{2399,
  author       = {{Deppe, S. and Frahm, Björn and Hass, V. C. and Hernández Rodríguez, T. and Kuchemüller, K. B. and Möller, J. and Pörtner, R.}},
  booktitle    = {{Animal Cell Biotechnology: Methods and Protocols}},
  editor       = {{Pörtner, Ralf}},
  isbn         = {{978-1-07-160190-7}},
  issn         = {{1064-3745}},
  pages        = {{213--234}},
  publisher    = {{Springer}},
  title        = {{{Estimation of Process Model Parameters}}},
  doi          = {{10.1007/978-1-0716-0191-4_12}},
  volume       = {{2095}},
  year         = {{2020}},
}

@inbook{2394,
  abstract     = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}},
  author       = {{Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology}},
  isbn         = {{9781627037327}},
  issn         = {{1064-3745}},
  keywords     = {{Seed train Optimization Modeling Prediction Space-Time-Yield (STY) Systems approach Bioinformatics Computational biotechnology Suspension Production}},
  pages        = {{355--367}},
  publisher    = {{Humana Press}},
  title        = {{{Seed Train Optimization for Cell Culture}}},
  doi          = {{10.1007/978-1-62703-733-4_22}},
  volume       = {{1104}},
  year         = {{2013}},
}

@inbook{10214,
  abstract     = {{For the production of biopharmaceuticals a seed train is required to generate an adequate number of cells for inoculation of the production bioreactor. This seed train is time- and cost-intensive but offers potential for optimization. A method and a protocol are described for the seed train mapping, directed modeling without major effort, and its optimization regarding selected optimization criteria such as optimal points in time for cell passaging. Furthermore, the method can also be applied for the set-up of a new seed train, for example for a new cell line. Although the chapter is directed towards suspension cell lines, the method is also generally applicable, e.g. for adherent cell lines.}},
  author       = {{Frahm, Björn}},
  booktitle    = {{Animal Cell Biotechnology - Methods and Protocols}},
  editor       = {{Pörtner, Ralf}},
  isbn         = {{978-1-62703-732-7}},
  issn         = {{1940-6029}},
  keywords     = {{Seed train, Optimization, Modeling, Prediction, Space-Time-Yield (STY), Systems approach, Bioinformatics, Computational biotechnology, Suspension, Production}},
  pages        = {{355–367}},
  publisher    = {{Humana Press}},
  title        = {{{Seed Train Optimization for Cell Culture}}},
  doi          = {{10.1007/978-1-62703-733-4_22}},
  volume       = {{1104}},
  year         = {{2013}},
}