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Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
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Advancing cell therapy manufacturing: an image-based solution for accurate confluency estimation.

John Mason1, Martin Kraft2, Jakob Hueckels3

  • 1CMC Digital Transformation and Data Science, Bayer, Berkeley, CA, United States.

Frontiers in Bioengineering and Biotechnology
|October 17, 2025
PubMed
Summary
This summary is machine-generated.

A new software tool accurately measures cell confluency, a key quality metric for cell therapies. This innovation streamlines manufacturing, improving the speed and reliability of delivering these life-saving treatments to patients.

Keywords:
PATcell culturecell therapydata scienceimagingmanufacturing

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Area of Science:

  • Biotechnology
  • Cellular Biology
  • Pharmaceutical Manufacturing

Background:

  • Cell therapies offer transformative treatment potential for various diseases.
  • Manufacturing cell therapies faces challenges, particularly in monitoring cell confluency.
  • Current confluency measurement methods are insufficient for industrial-scale cell cultivation.

Purpose of the Study:

  • To introduce a novel image-based software for accurate cell confluency estimation.
  • To integrate this software with high-throughput microscopy for automated analysis.
  • To enhance the manufacturing process of cell therapeutics through digitalization and data science.

Main Methods:

  • Development of a novel image-based software application for cell confluency estimation.
  • Integration with a high-throughput microscopy system for automated image acquisition.
  • Utilization of a machine-learning model for pixel classification and cloud-based data processing.

Main Results:

  • The software enables accurate and automated cell confluency estimation.
  • The platform facilitates efficient image and metadata processing in a cloud environment.
  • Near real-time automated image acquisition, storage, analysis, and reporting are achieved.

Conclusions:

  • The developed software streamlines cell therapy manufacturing.
  • This solution enhances the reliability and speed of cell therapeutic production.
  • The platform supports the advancement of biopharmaceutical manufacturing through data digitalization.