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Updated: Jun 28, 2026

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
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Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

New technologies for automated cell counting based on optical image analysis ;The Cellscreen'.

Marlies Brinkmann1, Dirk Lütkemeyer, Frank Gudermann

  • 1Institute of Cell Culture Technology, University of Bielefeld, Bielefeld, Germany.

Cytotechnology
|November 13, 2008
PubMed
Summary

A new automated system, Cellscreen, non-invasively measures cell growth in microtiter plates. This technology enables precise, time-course cell analysis without sampling, crucial for understanding cell proliferation and detecting toxic effects.

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Area of Science:

  • Biotechnology
  • Cell Biology
  • Bioprocess Engineering

Background:

  • Accurate monitoring of cell growth is essential for bioprocess development and toxicological studies.
  • Traditional methods for cell counting often require sampling or staining, which can be time-consuming and may affect cell viability.
  • There is a need for non-invasive, automated systems for real-time cell growth analysis in microtiter plate formats.

Purpose of the Study:

  • To evaluate a prototype automated system (Cellscreen) for non-invasive measurement of suspension cell growth characteristics.
  • To determine the system's performance parameters, including measurement range and image requirements for reliable results.
  • To assess the system's ability to detect changes in cell proliferation and specific growth rates in response to toxic substances.

Main Methods:

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  • Utilized the Cellscreen system for automated, non-invasive cell counting and geometry analysis in 96-well plates.
  • Employed Cedex image recognition technology for cell analysis without staining or sampling.
  • Investigated the influence of measurement parameters, evaporation, and culture volume on cell proliferation.
  • Compared the system's performance with standard cell counting methods.
  • Assessed the system's sensitivity to toxic substances (ammonia, lactate, butyrate) by monitoring specific growth rates.

Main Results:

  • The Cellscreen system successfully performed fully automated, non-invasive cell counts and geometry analysis.
  • Established optimal parameters for statistically reliable measurements, including the minimum number of images required.
  • Demonstrated that the system can detect subtle changes in specific growth rates induced by toxic substances.
  • Showed that cell proliferation is influenced by evaporation and culture volume within 96-well plates.

Conclusions:

  • The Cellscreen system offers a robust, non-invasive method for real-time monitoring of suspension cell growth in microtiter plates.
  • The technology enables time-course studies with identical cultures, enhancing experimental accuracy.
  • The system's sensitivity to toxicological effects makes it valuable for drug discovery and bioprocess optimization.