Related Experiment Video
Updated: Oct 30, 2025

06:35
Cell Membrane Repair Assay Using a Two-photon Laser Microscope
Published on: January 2, 2018
13.0K
Label-Free Single Cell Viability Assay Using Laser Interference Microscopy.
Yulia Beloglazova1, Aleksandr Nikitiuk2, Anna Voronina1
1Perm Federal Scientific Centre, Institute of Technical Chemistry UB RAS, Academician Korolev St. 3, 614013 Perm, Russia.
Biology
|July 2, 2021
Summary
Laser interference microscopy (LIM) offers a label-free approach to assess mammalian cell viability. This method analyzes phase thickness fluctuations to distinguish between viable and non-viable cells, providing a sensitive viability assay.
Area of Science:
- Biophysics
- Cell Biology
- Microscopy
Background:
- Label-free methods are crucial for real-time single-cell research.
- Assessing mammalian cell viability is essential in various biological studies.
- Existing methods may require cell labeling, impacting cellular processes.
Purpose of the Study:
- To develop a sensitive and reproducible method for cell viability assessment using Laser Interference Microscopy (LIM).
- To investigate phase thickness fluctuations in viable and non-viable MCF-7 cells.
- To establish quantitative parameters for distinguishing cell viability.
Main Methods:
- Utilized Laser Interference Microscopy (LIM) for real-time investigation of MCF-7 cells.
- Analyzed phase thickness fluctuations and their power spectrum slopes.
- Developed signal processing techniques to interpret fluctuation data.
Main Results:
- Identified variable 'v' (exceeding 20 nm² for viable attached cells) as an indicator of viability in attached cells.
- Determined critical power spectrum slope values (β=1.00 for attached, β=0.71 for suspended cells).
- The power spectrum slope (β) was found to be the most appropriate indicator of cell viability.
Conclusions:
- The power spectrum slope (β) of phase thickness fluctuations is a reliable indicator of cell viability.
- An integrated criterion using 'v' and 'β' can effectively assay viability in attached cells.
- LIM provides a promising label-free tool for quantitative cell viability assessment.

