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Updated: Jun 19, 2026

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

Published on: July 17, 2019

Lipid droplet size profiling in yeast.

Katharina Gritsch¹, Klara Skrobar Martincic¹, Kristian Bredies²

¹Institute of Molecular Biosciences, University of Graz, 8010 Graz, Austria.

|June 18, 2026

Summary

Accurately quantifying lipid droplets in yeast cells is challenging. This study introduces a novel raytracing method to precisely measure lipid droplet size and number, improving cellular lipid metabolism research.

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Area of Science:

Cell Biology
Biochemistry
Microscopy

Background:

Lipid droplets are vital organelles in cellular lipid metabolism, implicated in various health and disease states.
Yeast (Saccharomyces cerevisiae) is a key model organism for studying lipid droplet biology.
Accurate quantification of lipid droplet number and size is essential for functional studies but faces technical hurdles.

Purpose of the Study:

To develop a robust image-based method for accurate segmentation and quantification of lipid droplets in yeast.
To overcome limitations of existing methods, such as histogram- and machine-learning-based approaches.

Main Methods:

A novel seeding-based radial raytracing approach, independent of image histograms.
Incorporation of 3D deconvolution and supervised machine learning to enhance resolution and correct artifacts.

Keywords:

Deconvolution Lipid droplets Machine learning Seeding Seipin Yeast

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A Quantitative Assessment of The Yeast Lipidome using Electrospray Ionization Mass Spectrometry

Published on: August 21, 2009

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Last Updated: Jun 19, 2026

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

Published on: July 17, 2019

Isolation of Cellular Lipid Droplets: Two Purification Techniques Starting from Yeast Cells and Human Placentas

Isolation of Cellular Lipid Droplets: Two Purification Techniques Starting from Yeast Cells and Human Placentas

Published on: April 1, 2014

A Quantitative Assessment of The Yeast Lipidome using Electrospray Ionization Mass Spectrometry

A Quantitative Assessment of The Yeast Lipidome using Electrospray Ionization Mass Spectrometry

Published on: August 21, 2009

Development of an extensible toolset with deep-learning-based cell registration for detailed lipid droplet statistics.

Main Results:

The developed method accurately quantifies lipid droplet size distribution and number, overcoming challenges like organelle overlap and labeling heterogeneity.
Demonstrated the tool's efficacy by analyzing lipid droplets in wildtype and mutant yeast cells lacking the Sei1-Ldb16 seipin complex.

Conclusions:

The novel raytracing approach provides a significant advancement in the accurate quantification of lipid droplets.
This method facilitates deeper insights into lipid droplet biogenesis and function, particularly in the context of genetic mutations affecting lipid metabolism.