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Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Generalized cell morphological parameters based on interferometric phase microscopy and their application to cell

Pinhas Girshovitz¹, Natan T Shaked

¹Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel.

Biomedical Optics Express

|August 10, 2012

Summary

New analysis tools quantify live cancer cell lifecycles using interferometric phase microscopy. This method simplifies measurements, enabling distinction between cell cycle phases and other biological events.

Keywords:

(090.2880) Holographic interferometry (170.1530) Cell analysis (180.3170) Interference microscopy

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Area of Science:

Biophysics
Cell Biology
Optical Microscopy

Background:

Live cancer cell lifecycle monitoring is crucial for understanding cancer progression and treatment response.
Current methods for analyzing cell dynamics can be complex and time-consuming.
Interferometric phase microscopy offers label-free, high-resolution imaging capabilities.

Purpose of the Study:

To develop novel analysis tools for quantifying live cancer cell lifecycles.
To demonstrate the utility of these tools using wide-field interferometric phase microscopy.
To establish parameters for distinguishing cell cycle phases and other biological phenomena.

Main Methods:

Formulation of analysis tools based on wide-field interferometric phase microscopy measurements.
Development of parameters directly from the optical path delay profile.
Single-frame acquisition for efficient data processing.
Construction of a dedicated wide-field interferometric phase microscopy setup.

Main Results:

Demonstrated unique quantification of the live cancer cell lifecycle.
Successfully traced the full lifecycle of HeLa cancer cells.
Identified parameters capable of distinguishing between different cell cycle phases.
Showcased potential for identifying other biological phenomena.

Conclusions:

The developed analysis tools provide a robust method for live cancer cell lifecycle quantification.
The parameters derived from optical path delay are effective and do not require refractive index and thickness decoupling.
This approach offers a simplified and efficient way to study cell dynamics in real-time.