User-friendly high-content imaging analysis on a single desktop: R package H5CellProfiler
Steven WinkiD, Gerhard A. BurgeriD, Sylvia E. Le DévédeciD, Joost B. BeltmaniD, Bob van de WateriD
Abstract
Technological development has led to ever-increasing amounts of data in high-content screening. For utilizing such data in an efficient, thorough, and user-friendly manner we developed the R package H5CellProfiler. H5CellProfiler is based on R packages data.table, ggvis, ggplot2 and shiny. H5CellProfiler launches a browser that allows scientists to analyze large single-cell datasets and make statistical summaries and graphs on their local desktop in a fast and memory-efficient manner. In addition, single-cell track labels are calculated and broken tracks are re-connected based on user-defined thresholds resulting in unique sets of annotated tracks.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 3
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- cell-analysis-tools: an open-source library for single-cell analysis of multi-dimensional microscopy images
E. Contreras, P. R. Rehani, M. C. Skala·bioRxiv·Mar 8, 2023
- UCSC Cell Browser: Visualize Your Single-Cell Data
Matthew L Speir, Aparna Bhaduri, … Maximilian Haeussler·BioinformaticsPeer-reviewed·Jul 5, 2021
- LotOfCells: data visualization and statistics of single cell metadata
Óscar González-Velasco·bioRxiv·May 23, 2024
- RefCell: Multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’
Yang Shen, Nard Kubben, … Wolfgang Losert·BMC BioinformaticsPeer-reviewed·Nov 16, 2018
- CellProfiler Analyst: interactive data exploration, analysis, and classification of large biological image sets
David Dao, Adam N Fraser, … Anne E. Carpenter·BioinformaticsPeer-reviewed·Jun 26, 2016
- Cellar: Interactive single cell data annotation tool
Euxhen Hasanaj, Jingtao Wang, … Ziv Bar‐Joseph·bioRxiv·Mar 19, 2021