Assessment of protein inclusions in cultured cells using automated image analysis

使用自动图像分析评估培养细胞中的蛋白质内含物

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作者:Luke McAlary, Victoria K Shephard, Mine Sher, Lauren J Rice, Justin J Yerbury, Neil R Cashman, Steven S Plotkin

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).

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