Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Morphological analysis of yeast cells using an automated image processing system

K Zalewski1, R Buchholz

  • 1Institute of Biotechnology, Technical University Berlin, Germany.

Journal of Biotechnology
|July 18, 1996
PubMed
Summary

A new automated system analyzes yeast (Saccharomyces cerevisiae) growth in bioreactors using digital image processing. This allows for real-time monitoring of cell concentration and development, enabling timely process control.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Conservative management of endometrial cancer: a survey amongst European clinicians.

Archives of gynecology and obstetrics·2018
Same author

Inoculation of cyprinid herpesvirus 3 (CyHV-3) on common carp brain cells-influence of process parameters on virus yield.

In vitro cellular & developmental biology. Animal·2017
Same author

Antiviral activity of exopolysaccharides from Arthrospira platensis against koi herpesvirus.

Journal of fish diseases·2017
Same author

Identification of newly established Spodoptera littoralis cell lines by two DNA barcoding markers.

In vitro cellular & developmental biology. Animal·2017
Same author

The investigation of correlation among selected biochemical parameters and vital signs in dairy herd to design the bio-cybernetic dairy cow model.

Polish journal of veterinary sciences·2017
Same author

Independent psychometric validation of European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Endometrial Cancer Module (EORTC QLQ-EN24).

European journal of cancer care·2017

Area of Science:

  • Biotechnology
  • Microbiology
  • Process Engineering

Background:

  • Controlling yeast growth in Saccharomyces cerevisiae cultivations is crucial for optimizing bioprocesses.
  • Traditional monitoring methods can be time-consuming and may not provide real-time data.

Purpose of the Study:

  • To develop a fully-automated system for monitoring yeast growth.
  • To enable real-time characterization of yeast cell populations in bioreactors.

Main Methods:

  • Development of a fully-automated sampling and analyzing system.
  • Utilizing digital image processing for quantitative and qualitative analysis of microscopic cell appearance.
  • On-line estimation of cell development based on cell concentration and structural features.

Related Experiment Videos

Main Results:

  • The system provides detailed characterization of yeast suspensions, including cell concentrations and distributions of intracellular structures like vacuoles.
  • Real-time estimation of cell development is achieved, approximating actual process conditions.
  • Early detection of process perturbations is possible, allowing for immediate regulatory actions.

Conclusions:

  • The developed automated system offers precise, real-time monitoring of Saccharomyces cerevisiae cultivations.
  • This technology facilitates timely interventions, improving process control and efficiency.
  • The integration of digital image processing enhances the characterization of yeast cell populations during fermentation.