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Analysis of Lipid Droplet Content in Fission and Budding Yeasts using Automated Image Processing
Published on: July 17, 2019
Image analysis algorithms for cell contour recognition in budding yeast.
Mats Kvarnström1, Katarina Logg, Alfredo Diez
1Fraunhofer-Chalmers Research Centre, Chalmers Science Park, SE-412 88 Göteborg, Sweden. mats.kvarnstrom@fcc.chalmers.se
Optics Express
|August 20, 2008
Summary
Automated image analysis tools are crucial for quantifying protein abundance and localization in cell biology. This study introduces fast algorithms for budding yeast cell contour recognition, enabling efficient quantitative analysis.
Area of Science:
- Cell and molecular biology
- Microscopy image analysis
Background:
- Quantitative analysis of protein abundance and subcellular localization from fluorescence microscopy is essential for large-scale and time-lapse studies.
- Manual analysis is often ineffective for such studies, necessitating automated tools.
Purpose of the Study:
- To develop fast algorithms for automatic cell contour recognition in bright field images.
- To enable effective quantification of cell morphology, protein abundance, and subcellular localization using automated analysis.
Main Methods:
- Development of fast algorithms for automatic cell contour recognition.
- Optimization of algorithms for the budding yeast model organism (Saccharomyces cerevisiae).
- Integration of cell contours with fluorescence data for quantitative analysis.
Main Results:
- Successfully implemented fast algorithms for automatic cell contour recognition in budding yeast.
- Demonstrated the utility of recognized cell contours for quantifying morphology.
- Enabled effective quantification of protein abundance and subcellular localization from overlaid fluorescence data.
Conclusions:
- The developed algorithms provide an effective automated solution for quantitative analysis of microscopy images.
- This tool facilitates large-scale and time-lapse studies in cell and molecular biology.
- The approach is optimized for budding yeast but holds potential for other model organisms.
