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

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作者： M Elena,Garcia-Pardo ^[1] ; Jeremy C,Simpson ^[2] ; Niamh C,O'Sullivan ^[3]

作者单位： UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin 4, Ireland. ^[1] Cell Screening Laboratory, UCD School of Biology and Environmental Science, University College Dublin, Dublin 4, Ireland. ^[2] UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Dublin 4, Ireland. niamh.osullivan@ucd.ie. ^[3]

关键词 Automated image analysis ER function Endoplasmic reticulum morphology High-content imaging

主题词动物(Animals);细胞系(Cell Line);内质网(Endoplasmic Reticulum);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);软件(Software)

DOI 10.1186/s12859-021-04334-x

PMID 34496765

发布时间 2021-09-12

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