Automated Microbioreactor
Automated Microbioreactor - Related Videos
02:51
Monitoring Bacterial Growth in Distinct Media Formulations with an Automated Microbioreactor
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2025
Source: Hemmerich, J., et al. Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology. J. Vis. Exp. (2017).This video demonstrates the use of an automated microbioreactor to monitor bacterial growth and fluorescent protein secretion in response to varying media formulations. A genetically modified bacterium expressing a secretory fluorescent protein is cultured under antibiotic selection and inoculated into nutrient-varied wells. Real-time optical...
06:24
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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Cited by 9 •
2017
This manuscript describes a generic approach for tailor-made design of microbial cultivation media. This is enabled by an iterative workflow combining Kriging-based experimental design and microbioreactor technology for sufficient cultivation throughput, which is supported by lab robotics to increase reliability and speed in liquid handling media preparation.
08:15
Use of High-Throughput Automated Microbioreactor System for Production of Model IgG1 in CHO Cells
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Cited by 11 •
2018
A detailed protocol for the concurrent operation of 48 parallel cell cultures under varied conditions in a microbioreactor system is presented. Cell culture process, harvest and subsequent antibody titer analysis are described.
10:50
Purification and Analytics of a Monoclonal Antibody from Chinese Hamster Ovary Cells Using an Automated Microbioreactor System
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Cited by 6 •
2019
A detailed protocol for the purification and subsequent analysis of a monoclonal antibody from harvested cell culture fluid (HCCF) of automated microbioreactors has been described. Use of analytics to determine critical quality attributes (CQAs) and maximizing limited sample volume to extract vital information is also presented.
09:06
Microbioreactor-Based Production of Anchorage-Dependent Mesenchymal Stromal Cells Primed for Acute Respiratory Distress Syndrome
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2025
A protocol is described for microcarrier-microbioreactor production of anchorage-dependent cells as potential cell-based therapies. Targeting a use case of acute respiratory distress syndrome, comparable cell yield and favorable gene expression relative to flask-based process conditions are illustrated. This protocol is extensible to other anchorage-dependent cells and target indications.
FAQs
Feedback control links sensor readings to operational changes. When temperature, pH, dissolved oxygen, agitation, or biomass shifts from its intended condition, software can regulate aeration, mixing, or nutrient delivery. This closed-loop response helps maintain reproducible cultivation conditions rather than relying only on occasional manual adjustments. In infection studies, that consistency makes comparisons among microbial growth conditions more interpretable.
Temperature, pH, dissolved oxygen, agitation, and biomass provide complementary information about the cultivation state. Together, these measurements show whether the culture environment and microbial growth remain within the selected conditions. The system can use those signals to adjust aeration, mixing, or nutrient delivery, allowing researchers to examine how controlled environmental changes affect growth and bioprocess performance.
Parallel operation allows researchers to compare multiple growth conditions efficiently, while small working volumes conserve samples and reagents. Automation also reduces manual intervention, supporting more standardized comparisons between cultures. These features are especially useful during experimental optimization, when many condition combinations may need evaluation and consistent handling is important for distinguishing biological differences from process variability.
A typical workflow uses integrated sensors and software to track cultivation variables continuously or systematically, including temperature, pH, dissolved oxygen, agitation, and biomass. Based on those measurements, the system regulates aeration, mixing, and nutrient delivery. The resulting records support comparison of growth conditions and provide a reproducible basis for evaluating cultivation behavior and bioprocess performance.
In immunology and infection research, these systems can standardize cultivation of pathogens or beneficial microbes before experiments examining host-microbe interactions or antimicrobial responses. Their controlled and parallel operation helps researchers compare microbial growth conditions while conserving samples and reagents. The resulting consistency can improve interpretation when differences in microbial cultivation may influence downstream biological observations.
Experiments can generate information about microbial growth under defined conditions, responses to antimicrobial treatments, host-microbe research inputs, and overall bioprocess performance. Monitoring biomass alongside environmental variables helps connect growth behavior with changes in temperature, pH, dissolved oxygen, agitation, aeration, mixing, or nutrient delivery. These measurements can guide efficient optimization and reveal which conditions produce different cultivation outcomes.