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

M Elena Garcia-PardoJeremy C Simpson Niamh C O'Sullivan

Published in: BMC bioinformatics (2021)

We propose that this method has the potential to be applied in the context of large-scale genetic and chemical perturbations to assess the organisation of the ER in adherent cell cultures.

Keyphrases

endoplasmic reticulum
single cell
machine learning
endothelial cells
deep learning
high throughput
cell therapy
genome wide
copy number
human health
gene expression
dna methylation