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Published on: February 23, 2018
Phase noise optimization in temporal phase-shifting digital holography with partial coherence light sources and its
Christian Remmersmann1, Stephan Stürwald, Björn Kemper
1Center for Biomedical Optics and Photonics, University of Münster,Robert-Koch-Strasse 45, 48129 Münster, Germany.
Applied Optics
|March 12, 2009
Summary
This study optimizes phase resolution in temporal phase-shifting digital holographic microscopy. It analyzes errors and demonstrates noise reduction for high-resolution imaging of cells.
Area of Science:
- Microscopy
- Optical Imaging
- Biophysics
Background:
- High-resolution phase contrast imaging in temporal phase-shifting digital holographic microscopy demands optimized hologram recording and phase retrieval.
- Phase resolution is critical for accurate quantitative phase contrast imaging.
Purpose of the Study:
- To optimize phase resolution in temporal phase-shifting digital holographic microscopy.
- To analyze various error sources affecting phase retrieval.
- To demonstrate noise reduction for improved quantitative phase contrast imaging.
Main Methods:
- Theoretical analysis of statistical, digitalization, uncorrelated, and phase shift misalignment errors for a variable three-step algorithm.
- Experimental comparison of theoretically predicted results with measured phase noise using coherent and partially coherent light sources.
- Application of noise reduction techniques for quantitative phase contrast imaging.
Main Results:
- Identification and analysis of key error sources impacting phase resolution in digital holographic microscopy.
- Validation of theoretical predictions through experimental measurements of phase noise.
- Successful demonstration of noise reduction for enhanced quantitative phase contrast imaging.
Conclusions:
- Optimized conditions and error analysis are crucial for high-resolution phase contrast imaging in temporal phase-shifting digital holographic microscopy.
- The study provides a framework for minimizing noise and improving phase retrieval accuracy.
- The demonstrated noise reduction is applicable for advanced biological imaging, such as of pancreas tumor cells.

