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Updated: May 17, 2026
11:01
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
Published on: November 17, 2016
Dye free automated cell counting and analysis
Dietrich Dehlinger1, Lynn Suer, Maher Elsheikh
1Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
Biotechnology and Bioengineering
|October 12, 2012
Summary
This study introduces an automated cell counting technique for high-density cell cultures. The method accurately enumerates cells in confluent monolayers using multi-focal plane imaging, improving accuracy and automation in cell analysis.
Area of Science:
- Cell biology
- Microscopy
- Image analysis
Background:
- Accurate cell enumeration is crucial for biological research.
- Counting cells in high-density cultures presents significant challenges.
- Existing methods often struggle with confluent monolayers and automation.
Purpose of the Study:
- To develop an automated method for accurate cell counting in confluent cultures.
- To overcome limitations of traditional cell enumeration techniques.
- To enable high-throughput analysis of cell populations.
Main Methods:
- Utilized images captured at multiple focal heights.
- Calculated the derivative of image intensity with respect to focal height.
- Employed two complementary images for enhanced accuracy.
- Developed a method robust to focal plane variations (flatness, tilt).
Main Results:
- Successfully enumerated cells in high-density monolayers over large areas.
- Achieved accurate cell counting despite focal plane non-uniformities.
- Demonstrated resistance to errors caused by sample tilting or unevenness.
- Enabled automated image collection across extensive areas with minimal alignment.
Conclusions:
- The developed automated method provides accurate cell counting for confluent cultures.
- The technique is robust and adaptable to variations in sample preparation.
- This advancement facilitates efficient and reliable large-area cell analysis.
