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Image Analysis Method for the Characterization of Trichoderma reesei During Fermentations
Nicolas Hardy1,2, Maxime Moreaud3, Fadhel Ben Chaabane4
1IFP Energies nouvelles, Rueil-Malmaison, France.
Methods in Molecular Biology (Clifton, N.J.)
|November 9, 2020
Summary
This study presents an automated image analysis method using plug.im software to characterize filamentous fungus morphology. The technique provides accurate, quantitative data for fungal strains like Trichoderma reesei during fermentation.
Area of Science:
- Microbiology
- Biotechnology
- Image Analysis
Background:
- Filamentous fungi morphology is crucial for understanding fermentation processes and optimizing yields.
- Accurate characterization of fungal morphology is often challenging due to manual measurement limitations.
Purpose of the Study:
- To describe a fully automated image analysis method for filamentous fungus morphology.
- To demonstrate the application of this method for analyzing Trichoderma reesei during fermentation.
Main Methods:
- Utilized plug.im software for image analysis.
- Developed a specific image analysis protocol for filamentous fungi.
- Applied the method to samples from a Trichoderma reesei fermentation process.
Main Results:
- Achieved fully automated and accurate morphological and topological analyses.
- Generated quantitative and representative data for fungal characteristics.
- Successfully characterized Trichoderma reesei morphology during fermentation.
Conclusions:
- The described image analysis method offers an efficient and reliable approach for fungal morphology studies.
- This method provides valuable quantitative insights for optimizing fermentation processes.
- Automated image analysis enhances the accuracy and reproducibility of morphological characterization.
