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Laura M Helleckes

Showing results (1-10 of 9) with videos related to

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Current Opinion in Biotechnology|November 14, 2025
Building trust in automated experimentation: uncertainty quantification in the era of high-throughput biolabsWolfgang Wiechert, Laura M Helleckes, Katharina Nöh
Trends in Biotechnology|December 1, 2022
Machine learning in bioprocess development: from promise to practiceLaura M Helleckes, Johannes Hemmerich, Wolfgang Wiechert, et al.
Biotechnology Journal|July 12, 2024
Novel calibration design improves knowledge transfer across products for the characterization of pharmaceutical bioprocessesLaura M Helleckes, Claus Wirnsperger, Jakub Polak, et al.
Microbial Cell Factories|July 14, 2023
From frozen cell bank to product assay: high-throughput strain characterisation for autonomous Design-Build-Test-Learn cyclesLaura M Helleckes, Debora Puchta, Hannah Czech, et al.
Biotechnology and Bioengineering|January 8, 2026
A Guide to Bayesian Optimization in Bioprocess EngineeringMaximilian Siska, Emma Pajak, Katrin Rosenthal, et al.
Biotechnology and Bioengineering|October 13, 2022
Explore or exploit? A model-based screening strategy for PETase secretion by Corynebacterium glutamicumLaura M Helleckes, Carolin Müller, Tim Griesbach, et al.
Applied Microbiology and Biotechnology|June 27, 2022
Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automationCarolin Müller, Patrick J Bakkes, Patrick Lenz, et al.
Biotechnology Progress|July 26, 2024
Quantification of nisin concentration from fluorescence-based antimicrobial activity assay using Bayesian calibrationValentin Steier, Michael Osthege, Laura M Helleckes, et al.
Plos Computational Biology|November 27, 2023
Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in GermanyElisabeth K Brockhaus, Daniel Wolffram, Tanja Stadler, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Current Opinion in Biotechnology|November 14, 2025
Building trust in automated experimentation: uncertainty quantification in the era of high-throughput biolabsWolfgang Wiechert, Laura M Helleckes, Katharina Nöh
Trends in Biotechnology|December 1, 2022
Machine learning in bioprocess development: from promise to practiceLaura M Helleckes, Johannes Hemmerich, Wolfgang Wiechert, et al.
Biotechnology Journal|July 12, 2024
Novel calibration design improves knowledge transfer across products for the characterization of pharmaceutical bioprocessesLaura M Helleckes, Claus Wirnsperger, Jakub Polak, et al.
Microbial Cell Factories|July 14, 2023
From frozen cell bank to product assay: high-throughput strain characterisation for autonomous Design-Build-Test-Learn cyclesLaura M Helleckes, Debora Puchta, Hannah Czech, et al.
Biotechnology and Bioengineering|January 8, 2026
A Guide to Bayesian Optimization in Bioprocess EngineeringMaximilian Siska, Emma Pajak, Katrin Rosenthal, et al.
Biotechnology and Bioengineering|October 13, 2022
Explore or exploit? A model-based screening strategy for PETase secretion by Corynebacterium glutamicumLaura M Helleckes, Carolin Müller, Tim Griesbach, et al.
Applied Microbiology and Biotechnology|June 27, 2022
Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automationCarolin Müller, Patrick J Bakkes, Patrick Lenz, et al.
Biotechnology Progress|July 26, 2024
Quantification of nisin concentration from fluorescence-based antimicrobial activity assay using Bayesian calibrationValentin Steier, Michael Osthege, Laura M Helleckes, et al.
Plos Computational Biology|November 27, 2023
Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in GermanyElisabeth K Brockhaus, Daniel Wolffram, Tanja Stadler, et al.
Pageof 1