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Related Experiment Video

Updated: Jun 30, 2025

Viability Assays for Cells in Culture
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Assessing cell viability with dynamic optical coherence microscopy.

Chao J Liu1, Jason T Smith1, Yuanbo Wang1

  • 1Elephas Biosciences Corporation, 1 Erdman Place, Madison, WI 53717, USA.

Biomedical Optics Express
|March 18, 2024
PubMed
Summary
This summary is machine-generated.

Dynamic optical coherence microscopy (dOCM) offers a label-free method to assess cell viability. This technique accurately distinguishes live from dead cells in tumors and correlates with metabolic imaging, advancing cancer research and therapy assessment.

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Area of Science:

  • Biomedical Optics
  • Cellular Metabolism Imaging
  • Cancer Research

Background:

  • Accurate cell viability assessment is crucial across research disciplines.
  • Existing optical methods using fluorescent dyes present limitations in reliability and tissue penetration.
  • Dynamic optical coherence microscopy (dOCM) offers label-free contrast based on cellular metabolic changes.

Purpose of the Study:

  • To compare label-free dOCM contrast with traditional viability dyes.
  • To demonstrate dOCM's capability in distinguishing live from dead cells in complex biological samples.
  • To establish the correlation between dOCM live contrast and cellular metabolic state.

Main Methods:

  • Utilized dynamic optical coherence microscopy (dOCM) for label-free imaging.
  • Compared dOCM contrast with standard viability dyes in biological samples.
  • Performed metabolic imaging using optical redox ratio in primary mouse liver tissue.

Main Results:

  • dOCM successfully distinguished live from dead cells in murine syngeneic tumors, a novel finding.
  • A strong correlation was observed between dOCM live contrast and the optical redox ratio in liver tissue.
  • Label-free dOCM provides reliable contrast reflecting cellular metabolic status.

Conclusions:

  • dOCM is a promising label-free imaging tool for assessing cell viability in research settings.
  • This technique can be applied to evaluate the efficacy of various cancer therapies, including immuno-oncology and chemotherapy.
  • dOCM offers a new pathway for analyzing live tumor tissues without exogenous labels.