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Updated: Aug 2, 2025

A Simple Migration/Invasion Workflow Using an Automated Live-cell Imager

A Simple Migration/Invasion Workflow Using an Automated Live-cell Imager

Published on: February 2, 2019

Multisite assessment of reproducibility in high-content cell migration imaging data.

Jianjiang Hu¹, Xavier Serra-Picamal¹, Gert-Jan Bakker²

¹Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.

Molecular Systems Biology

|April 17, 2023

Summary

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Reproducible cell phenotyping requires addressing technical variability. Standardized procedures and batch correction are crucial for combining image analysis data and enabling reliable meta-analysis in life sciences.

Area of Science:

Life sciences
Cell biology
Microscopy

Background:

High-content image-based cell phenotyping offers valuable insights across life science disciplines.
Reproducibility is essential for accurate conclusions, data sharing, and meta-analysis.
Systematic investigation of variability sources in live-cell microscopy data is lacking.

Purpose of the Study:

To identify and quantify sources of biological and technical variability in high-content cell imaging.
To assess the impact of variability on the reproducibility and meta-analysis of live-cell microscopy data.
To determine strategies for improving the reliability of quantitative cell image analysis.

Main Methods:

Utilized high-content imaging data focusing on cell migration and morphology.

Keywords:

batch effect removal cell migration high-content imaging reproducibility variability

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Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

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Related Experiment Videos

Last Updated: Aug 2, 2025

A Simple Migration/Invasion Workflow Using an Automated Live-cell Imager

A Simple Migration/Invasion Workflow Using an Automated Live-cell Imager

Published on: February 2, 2019

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials

Published on: March 7, 2025

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Analysis of Cell Migration within a Three-dimensional Collagen Matrix

Published on: October 5, 2014

Analyzed variability across multiple scales: laboratories, persons, experiments, technical repeats, cells, and time points.

Evaluated the effect of batch effect removal on combining image-based datasets.

Main Results:

Significant technical variability was observed between laboratories and, to a lesser extent, between persons.
Direct meta-analysis of data from different laboratories yielded limited value due to inter-laboratory variability.
Batch effect removal substantially enhanced the ability to combine image-based datasets from perturbation experiments.

Conclusions:

Reproducible quantitative high-content cell image analysis necessitates standardized experimental procedures.
Batch correction is a critical step for enabling effective meta-analysis of image-based perturbation experiments.
Addressing technical variability is key to maximizing the impact and utility of cell phenotyping data.