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Cell Count (Fluorescence)

Cell counting is a frequent and essential task for researchers, often used to assess the effects of agonists or experimental conditions on cell survival and proliferation. Manual counting, however, is tedious and prone to errors (Morelli et al., 2021).

The Image-Pro Cell Count protocol streamlines this process, enabling the efficient analysis of large datasets in complex formats, such as multi-well plates, with minimal image analysis expertise. The protocol supports threshold segmentation, machine learning segmentation, and deep learning segmentation, offering a selection of pre-trained models for fluorescent whole-cell or nucleus detection.

Techniques: Fluorescence

How it works

Select Channel

Select the channel that contains labeled cells.

Set Object Diameter

Set the diameter of labeled cells.

Find Cells or Nuclei

Find cells or nuclei with threshold segmentation, machine learning, or a pre-trained deep learning model.

Quantitative results

Automatically generate tables, heat maps, charts and even complex bespoke reports.

Measurement parameters supported

Solution requirements

Required Modules

Base

2D Automated Analysis

Cell Biology Protocol Collection

Cell Count Protocol

AI Deep Learning

Life Science Models

Fluorescent Cells Model

Literature spotlight

RELATED APPS

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Apps are designed for customers with a registered copy of Media Cybernetics software. Please review the App Center specifications tab to ensure your software is supported. To download the App, please fill out the form below.

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