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Fast automated yeast cell counting algorithm using bright-field and fluorescence microscopic images.

Dongpyo Hong1,2, Gwanghee Lee2, Neon Cheol Jung2

  • 1Applied Computing Lab., GIST, Oryong-dong, Gwangju 500-712, Korea.

Biological Procedures Online
|November 13, 2013
PubMed
Summary

An automated yeast cell counting algorithm accurately determines yeast concentration and viability. This method is precise, fast, and performs well on various computing platforms, benefiting research and industry.

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Area of Science:

  • Microbiology
  • Biotechnology
  • Computational Biology

Background:

  • Accurate determination of yeast cell concentration and viability is crucial for biological research and industrial applications.
  • Existing methods for yeast cell analysis may lack speed, accuracy, or precision.
  • Development of an automated cell counting algorithm is needed for efficient yeast cell measurement.

Purpose of the Study:

  • To develop and validate an automated algorithm for rapid, accurate, and precise counting of yeast cells.
  • To assess the correlation between the algorithm's measured viability and theoretical viability.
  • To evaluate the algorithm's performance across different computing platforms.

Main Methods:

  • Implementation of an automated yeast cell counting algorithm.

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  • Measurement of yeast cell precision using samples with varying known viabilities (0%, 25%, 50%, 75%, 100%).
  • Performance evaluation on diverse computing environments.

    • Main Results:

    • The algorithm demonstrated high precision in yeast cell measurements across all viability levels.
    • A strong correlation (R² = 0.9991) was observed between the algorithm's measured viability and theoretical viability.
    • The algorithm maintained performance even on low-end computing platforms, indicating broad feasibility.

    Conclusions:

    • The developed yeast cell counting algorithm provides rapid, accurate, and precise quantification of yeast cell number and viability.
    • The algorithm's robustness and performance on various platforms make it suitable for diverse applications.
    • This method offers significant benefits for fields including biotechnology, pharmaceuticals, and alcohol production.