Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Jacob O'Brien; Heyam Hayder; Chun Peng

doi:10.3791/54719

Automatizado de cuantificación y análisis de los procedimientos de recuento de células usando Ima...

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Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Automatizado de cuantificación y análisis de los procedimientos de recuento de células usando ImageJ Plugins

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11:01 min

November 17, 2016

DOI: 10.3791/54719-v

Jacob O'Brien¹, Heyam Hayder¹, Chun Peng¹

¹Department of Biology,York University

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Overview

This paper presents new open-source ImageJ plugins, Cell Concentration Calculator and migration assay Counter, for quantifying hemocytometer and migration/invasion micrographs. It also details image acquisition and calibration protocols, along with the input requirements for the plugins.

Key Study Components

Area of Science

Neuroscience
Cell Biology
Image Analysis

Background

Cell counting is essential for various biological assays.
Accurate quantification aids in understanding cell behavior.
Digital analysis tools can enhance counting efficiency.
Open-source tools promote accessibility in research.

Purpose of Study

To provide a method for quick and accurate cell counts.
To facilitate quantification in in vitro motility assays.
To describe the use of ImageJ plugins for cell analysis.

Methods Used

Utilization of ImageJ plugins for cell counting.
Image acquisition using a microscope with phase contrast filters.
Calibration protocols for accurate measurements.
Setting default image capture settings in microscope software.

Main Results

Demonstrated effectiveness of the plugins in cell quantification.
Provided detailed protocols for image acquisition.
Highlighted the advantages of digital analysis tools.
Showed how to meet input requirements for the plugins.

Conclusions

The new plugins significantly improve cell counting accuracy.
They offer a user-friendly approach for researchers.
Digital tools can streamline experimental workflows.

Frequently Asked Questions

What are the main advantages of using the new plugins?

The plugins provide fast and accurate cell counts with multiple analysis tools.

How do I set up the microscope for image acquisition?

Set the illumination to maximum and use the 4x objective with phase contrast filters.

Are the plugins suitable for all types of cell assays?

Yes, they can be used for various in vitro assays, including migration and invasion assays.

Can I access the plugins for free?

Yes, the plugins are open-source and available for free.

What is the importance of calibration in this protocol?

Calibration ensures accurate measurements and reliable results in cell counting.

Is training required to use the plugins effectively?

Basic familiarity with ImageJ is helpful, but the plugins are designed to be user-friendly.

Este artículo describe la cuantificación de hemocitómetros y micrografías de migración/invasión a través de dos nuevos complementos de código abierto de ImageJ: Cell Concentration Calculator y migration assay Counter. Además, describe los protocolos de adquisición y calibración de imágenes, así como analiza en detalle los requisitos de entrada de los complementos.

El objetivo general de este protocolo es utilizar herramientas de análisis digital para realizar rápidamente recuentos precisos de células en una suspensión o en una migración en una membrana de ensayo de invasión. Este protocolo puede ayudar a los investigadores a cuantificar el número de células necesario para las técnicas comunes y los ensayos de motilidad celular in vitro. La principal ventaja de este método es que proporciona recuentos de células rápidos y precisos, al tiempo que incluye múltiples filtros y herramientas de análisis.

Para comenzar, ajuste la iluminación del microscopio al máximo. Cambie al objetivo 4x y asegúrese de que los filtros de contraste de fase estén en uso. A continuación, dentro del software del microscopio, establezca la configuración de captura de imágenes en sus valores predeterminados.

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