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Doppler flow imaging of cytoplasmic streaming using spectral domain phase microscopy
Michael A Choma1, Audrey K Ellerbee, Siavash Yazdanfar
1Duke University, Department of Biomedical Engineering, Durham, North Carolina 27708, USA. mac32@duke.edu
Journal of Biomedical Optics
|May 6, 2006
Summary
Spectral domain phase microscopy (SDPM) offers high phase stability for sensitive flow imaging. This technique measured thermal contraction and observed cytoplasmic streaming changes in Amoeba proteus.
Area of Science:
- Biophysics
- Optical Microscopy
- Cell Biology
Background:
- Spectral domain optical coherence tomography (SDOCT) is a foundational imaging technique.
- Advancements in optical microscopy are crucial for understanding cellular dynamics.
- Phase stability is critical for precise velocity measurements in fluid dynamics.
Purpose of the Study:
- To extend spectral domain optical coherence tomography (SDOCT) into spectral domain phase microscopy (SDPM).
- To investigate the capabilities of SDPM for Doppler flow imaging.
- To apply SDPM for precise measurement of cellular and material dynamics.
Main Methods:
- Utilized common-path interferometry within SDPM for enhanced phase stability.
- Developed and analyzed Doppler flow imaging principles for SDPM.
- Applied SDPM to monitor thermal contraction of glass with high velocity sensitivity.
- Measured cytoplasmic streaming in Amoeba proteus pseudopods.
Main Results:
- Achieved exquisite levels of phase stability using common-path interferometry.
- Demonstrated nanometer per second velocity sensitivity in monitoring thermal contraction.
- Observed reversal of cytoplasmic flow in Amoeba proteus induced by extracellular CaCl2.
- Reported evidence of parabolic cytoplasmic flow within the Amoeba proteus pseudopod.
Conclusions:
- SDPM is a powerful extension of SDOCT enabling high-sensitivity phase-based measurements.
- The technique is suitable for diverse applications, including material science and cell biophysics.
- SDPM provides novel insights into cytoplasmic streaming dynamics and responses to stimuli.
