Related Experiment Video
Updated: Aug 26, 2025
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
Published on: November 17, 2016
Assessment of protein inclusions in cultured cells using automated image analysis
Luke McAlary1, Victoria K Shephard2, Mine Sher3
1Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW 2522, Australia; Molecular Horizons and School of Chemistry and Molecular Bioscience, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW 2522, Australia; Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC V6T 1Z1, Canada; Djavad Mowafaghian Centre for Brain Health, The University of British Columbia, Vancouver, BC, Canada; Genome Science and Technology Program, The University of British Columbia, Vancouver, BC V6T 1Z1, Canada.
Abstract:
Proteinaceous inclusions are associated with neurodegenerative diseases and cell models are often used to determine genetic and chemical modifiers of their formation. This protocol involves the usage of automated microscopy and machine learning-based image analysis to accurately quantify the levels of protein inclusion formation in cultured cells from fluorescence microscopy images. This protocol is highly scalable and can be applied to a few images or large datasets. For complete details on the use and execution of this protocol, please refer to McAlary et al. (2022).
