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Image-based cell-size estimation for baculovirus quantification.

Tõnis Laasfeld1, Sergei Kopanchuk1, Ago Rinken1

  • 1University of Tartu, Institute of Chemistry, Tartu, Estonia.

Biotechniques
|October 20, 2017
PubMed
Summary

We developed a user-friendly, image-based cell-size estimation (ICSE) assay for accurate baculovirus quantification. This method offers a reliable alternative to traditional assays for virus concentration measurement.

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Area of Science:

  • Biotechnology
  • Virology
  • Cell Biology

Background:

  • Accurate measurement of virus concentration is critical for successful virus-based transfection technologies.
  • Traditional methods for virus quantification can be time-consuming or require specialized equipment.

Purpose of the Study:

  • To introduce a novel, user-friendly, image-based cell-size estimation (ICSE) assay for baculovirus quantification.
  • To validate the ICSE assay against established methods for virus concentration measurement.

Main Methods:

  • Utilized bright-field microscopy and automated image analysis to determine cell diameters.
  • Employed microplate-based imaging systems and custom ICSE-Tools software for morphological parameter measurement.
  • Compared ICSE assay results with traditional plaque assays and Coulter principle-based measurements.

Main Results:

  • The ICSE assay provided baculovirus concentration measurements that agreed with traditional plaque assays.
  • Results from the ICSE assay were also consistent with Coulter principle-based cell-size measurements.
  • The ICSE-Tools software facilitates efficient data organization and image analysis.

Conclusions:

  • The image-based cell-size estimation (ICSE) assay is a reliable and user-friendly method for baculovirus quantification.
  • ICSE offers a valuable alternative for determining virus concentration in research and biotechnology applications.
  • The freely available ICSE-Tools software supports microplate-based imaging data analysis.