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In Situ Microscopy for Real-time Determination of Single-cell Morphology in Bioprocesses
Published on: December 5, 2019
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In situ microscopy as online tool for detecting microbial contaminations in cell culture
R Gustavsson1, C F Mandenius1, S Löfgren1
1Division of Biotechnology, Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden.
Journal of Biotechnology
|March 23, 2019
Summary
Detecting microbial contamination in cell cultures is crucial. This study introduces an online in situ microscopy system that uses cell size to rapidly identify contaminants, preventing costly batch rejections.
Area of Science:
- Biotechnology
- Microbiology
- Cell Culture Technology
Background:
- Microbial contamination in mammalian cell cultures leads to significant economic losses due to rejected batches.
- Current contamination detection methods are often time-consuming and require off-line sampling, delaying intervention.
- Early detection of microbial contaminants is critical for maintaining culture integrity and productivity.
Purpose of the Study:
- To develop and evaluate an online, in situ microscopy system for the early detection of microbial contamination in mammalian cell cultures.
- To differentiate between mammalian cells and microbial contaminants based on cell diameter.
- To establish an automated warning system for timely alerts.
Main Methods:
- Utilized an online in situ microscope to monitor cell cultures in real-time.
- Estimated cell diameter to distinguish between mammalian cells and microbial contaminants (Candida utilis, Pichia stipitis).
- Implemented a warning system to alert operators upon detection of microbial presence.
Main Results:
- The in situ microscopy system successfully distinguished between mammalian hybridoma cells and microbial contaminants.
- The automated warning system effectively detected introduced contaminations.
- Demonstrated the feasibility of real-time monitoring for contamination detection.
Conclusions:
- Online in situ microscopy offers an efficient and convenient alternative to traditional methods for detecting microbial contamination.
- This technology enables early detection, potentially reducing batch failures and associated costs.
- The system shows promise for routine application in mammalian cell culture monitoring.
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