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Related Experiment Video

Updated: May 15, 2026

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

Scalable data harmonization for single-cell image-based profiling with CytoTable.

Dave Bunten¹, Jenna Tomkinson¹, Erik Serrano¹

¹Department of Biomedical Informatics, University of Colorado Anschutz, Aurora, CO 80045, USA.

Patterns (New York, N.Y.)

|May 14, 2026

Summary

This summary is machine-generated.

High-content imaging (HCI) generates vast microscopy data. CytoTable harmonizes single-cell profiles from diverse tools, overcoming data curation bottlenecks for reproducible biological insights.

Keywords:

high-content imaging image-based profiling microscopy image analysis open-source software reproducibility single-cell harmonization

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Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

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Last Updated: May 15, 2026

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Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

Area of Science:

Computational Biology
Bioinformatics
Cellular Imaging

Background:

High-content imaging (HCI) automates cell phenotype analysis from microscopy.
Large-scale screening generates terabytes of complex, high-dimensional single-cell data.
Current data curation methods present challenges in reproducibility and scalability.

Purpose of the Study:

To introduce CytoTable, a software package for harmonizing single-cell image-based profiling data.
To address analytical bottlenecks in curating high-dimensional datasets from HCI.
To enhance data integration and reproducibility in the Cytomining ecosystem.

Main Methods:

Development of CytoTable, a modular and portable software package.
Implementation of a robust engine for harmonizing single-cell readouts.
Facilitation of cross-language data integration for image analysis tools.

Main Results:

CytoTable provides a scalable solution for curating diverse single-cell profiling data.
The software ensures reproducible data integration across multiple image analysis platforms.
Enables seamless preparation of data for downstream analysis with tools like Pycytominer.

Conclusions:

CytoTable effectively resolves inconsistencies in single-cell data schemas and formats.
The package promotes reproducibility and accelerates progress in image-based profiling research.
CytoTable is a key enabler for advanced computational analysis in cell biology.