A novel automated image analysis pipeline for quantifying morphological changes to the endoplasmic reticulum in cultured human cells.

ABSTRACT:

Background

In mammalian cells the endoplasmic reticulum (ER) comprises a highly complex reticular morphology that is spread throughout the cytoplasm. This organelle is of particular interest to biologists, as its dysfunction is associated with numerous diseases, which often manifest themselves as changes to the structure and organisation of the reticular network. Due to its complex morphology, image analysis methods to quantitatively describe this organelle, and importantly any changes to it, are lacking.

Results

In this work we detail a methodological approach that utilises automated high-content screening microscopy to capture images of cells fluorescently-labelled for various ER markers, followed by their quantitative analysis. We propose that two key metrics, namely the

SUBMITTER: Garcia-Pardo ME 

PROVIDER: S-EPMC8425006 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature