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Related Experiment Video

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Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
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Label-free in-line characterization of immune cell culture using quantitative phase imaging.

Caroline E Serafini1,2, Viswanath Gorti2, Paloma Casteleiro Costa2,3

  • 1George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

NPJ Regenerative Medicine
|November 27, 2025
PubMed
Summary

We developed a low-cost, label-free imaging platform for real-time T cell monitoring in bioreactors. This technology enhances cell therapy consistency and reduces manufacturing costs by enabling non-disruptive quality control.

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Area of Science:

  • Biotechnology
  • Cell Therapy Manufacturing
  • Quantitative Phase Imaging

Background:

  • Cell therapies show promise but face challenges in consistent, cost-effective manufacturing.
  • Current cell culture monitoring methods are often disruptive, costly, and lack real-time data.
  • Ensuring T cell potency and viability during culture is critical for therapeutic success.

Purpose of the Study:

  • To develop a compact, low-cost, label-free quantitative phase imaging (QPI) platform for continuous, non-destructive monitoring of T cell cultures.
  • To create quantitative, image-based assays for characterizing T cell viability and activation.
  • To establish an in-line monitoring pipeline to improve cell manufacturing processes.

Main Methods:

  • A novel, compact, low-cost, label-free quantitative phase imaging (QPI) platform was designed for bioreactor integration.
  • Quantitative image-based assays were developed to assess T cell viability and activation.
  • The platform was validated using T cell cultures from over 50 independent donors, including CAR-T cells.

Main Results:

  • The QPI platform enabled continuous, non-destructive, in-line monitoring of T cell cultures.
  • Quantitative assays accurately characterized T cell viability and activation without disruptive sampling.
  • The system maintained culture sterility and eliminated the need for traditional endpoint assays.

Conclusions:

  • A QPI-based pipeline offers label-free, in-line monitoring and characterization of T cells.
  • This technology has the potential to significantly improve the consistency, potency, and cost-effectiveness of cell manufacturing.
  • Non-disruptive monitoring via QPI addresses key challenges in scaling up cell-based therapies.