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Analysis of Lipid Droplet Content in Fission and Budding Yeasts using Automated Image Processing

Analysis of Lipid Droplet Content in Fission and Budding Yeasts using Automated Image Processing

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Morphological characterization of yeast by image analysis.

M N Pons¹, H Vivier, J F Rémy

¹Laboratoire des Sciences du Génie Chimique, CNRS-ENSIC-INPL, BP 451, F-54001 Nancy Cedex, France.

Biotechnology and Bioengineering

|December 1, 1993

Summary

This study introduces a semiautomatic method for analyzing yeast cell morphology using optical microscopy. The technique accurately measures yeast size and population dynamics during fermentation, aiding in process optimization.

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Area of Science:

Microbiology
Biotechnology
Image Analysis

Background:

Accurate characterization of yeast cell morphology is crucial for understanding fermentation processes.
Existing methods may lack efficiency or precision in analyzing yeast populations.
Developing automated or semiautomated techniques can improve data acquisition and analysis.

Purpose of the Study:

To develop and validate a semiautomatic image analysis method for characterizing yeast cell morphology.
To apply the method for determining yeast size distributions and population kinetics during alcoholic fermentation.
To investigate the compatibility of the image analysis method with viability staining techniques.

Main Methods:

A semiautomatic image analysis approach was developed, assuming yeast cells are ellipsoidal.

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Optical microscopy was used to observe yeast cells.

The method determines cell surface area and the minor and major half-axes of the projected ellipsoid.

Main Results:

The image analysis method successfully characterized yeast cell morphology with minimal operator input.
Yeast size distributions and population dynamics (single cells, budding cells, clusters) were determined during fermentation.
Methylene blue staining was found to alter cell size, impacting combined analysis.

Conclusions:

The developed semiautomatic image analysis method is effective for characterizing yeast morphology and population kinetics.
The method provides valuable data for monitoring and optimizing alcoholic fermentation processes.
Further research is needed to address the impact of viability stains on cell morphology measurements.