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Related Experiment Video

Updated: Jun 28, 2026

An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

An Automated Method to Perform The In Vitro Micronucleus Assay using Multispectral Imaging Flow Cytometry

Published on: May 13, 2019

Using Cell-ID 1.4 with R for microscope-based cytometry.

Ariel Chernomoretz¹, Alan Bush, Richard Yu

¹Physics Department, FCEN, University of Buenos Aires and CONICET, Buenos Aires, Argentina.

Current Protocols in Molecular Biology

|October 31, 2008

Summary

This summary is machine-generated.

This study presents an open-source method for quantifying cellular parameters like volume and fluorescence from microscope images. It enables cell tracking over time using Cell-ID and R statistical software.

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Area of Science:

Cell biology
Microscopy
Image analysis

Background:

Quantifying cellular parameters is crucial for biological research.
Existing methods may lack comprehensive analysis or require specialized software.

Purpose of the Study:

To describe a robust method for quantifying cellular parameters from microscope images.
To enable accurate cell tracking over time.
To provide an open-source solution for image analysis.

Main Methods:

Acquisition of a defocused transmission image for cell localization.
Acquisition of fluorescent images using epifluorescence or confocal microscopy.
Utilizing Cell-ID for image processing and R for statistical analysis, supplemented with a custom package.

Main Results:

The method allows for quantification of cellular volume and fluorescence localization.
It facilitates the tracking of individual cells over time.
The integrated software approach provides a comprehensive analysis pipeline.

Conclusions:

This method offers a powerful and accessible tool for cellular parameter quantification and tracking.
The use of open-source software (Cell-ID and R) promotes reproducibility and wider adoption.
This approach enhances the ability to analyze complex cellular behaviors from microscopy data.