Tutorial for single cell analysis of nuclear translocation measured by timelapse imaging
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Updated
May 20, 2020 - R
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Tutorial for single cell analysis of nuclear translocation measured by timelapse imaging
CellProfiler pipeline and ImageJ workflow developed for segmentation of H2B_FUCCI2a_MCF7 cell nuclei for per-nucleus and background fluorescence intensity measurement. Example workflows for downstream cell cycle analysis are also provided in this repository.
ImageJ macros for preparation of single images from stacks with maximum intensity projections and partially automated selection of slices in focus. CellProfiler Pipeline for yH2AX and 53BP1 counting and mitotic cells segmentation in asynchronous cultures. R scripts for processing of CellProfiler output.
“Novel Marker Distribution Pipeline for Analysis of Cell Based Quantitative Spatial Information”. The aim of this research was to analyse quantitative spatial information and provide intuitive visualisation relating to the identification of cells relative to tissue structure and pathology such as cancer tumour.
R scripts to clean/analyse CellProfiler output, forked from
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