Quantitation of fibroblast population growth rate in situ using computerized image analysis

M. A. Perricone, V. Saldate, D. M. Hyde

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The development of computer-assisted image analysis has provided the technology to rapidly determine the population size of cultured cell monolayers in situ. We have adapted this technology to determine the population growth rate of cultured fibroblasts for use in a high replicate format. Human lung fibroblasts were seeded into 1/2 A 96-well plates that had one-half the culture area of standard 96-well plates. The cells were cultured in medium supplemented with different concentrations of FBS and on days 0, 1, 2, 3, 5, and 7, and their nuclei were stained with propidium iodide. A microscopic field representing one-quarter of a well of fluorescent nuclear images was captured onto a Macintosh computer, and the number of nuclei were counted using an image analysis software program. There were no significant differences between the number of nuclei counted manually and the number counted using computer-assisted software, until day 7 where the cells were multilayered (P < 0.05). This image analysis method was compared to other assays typically used to estimate cell proliferation or population size, namely hemocytometer counting, a rapid colorimetric staining assay using naphthol blue-black, and [3H]-thymidine incorporation. The growth rates derived using image analysis were in close agreement with results derived from hemocytometer counts and [3H]-thymidine incorporation. However, the growth rates of cells grown in high concentrations of FBS as determined using naphthol blue-black were substantially lower than results from image analysis. We conclude that this adaptation of computer-assisted image analysis provides a method to derive accurate growth curves by directly counting the number of cells in a large number of replicates.

Original languageEnglish (US)
Pages (from-to)257-264
Number of pages8
JournalMicroscopy Research and Technique
Volume31
Issue number3
DOIs
StatePublished - 1995

Keywords

  • Cell count
  • Cell division
  • Computer-assisted image processing

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Anatomy
  • Instrumentation

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