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Sensitivity evaluation of quantitative phase imaging: a study of wavelength shifting interferometry
Optics Letters
|March 16, 2017
Summary
We introduce a three-level framework to evaluate measurement sensitivity in quantitative phase imaging. This method assesses algorithm and system efficiency, aiding in optimizing imaging performance and reducing noise.
Area of Science:
- Optical imaging
- Metrology
- Signal processing
Background:
- Sensitivity is crucial for quantitative phase imaging (QPI) performance.
- Noise sources and signal processing algorithms impact QPI sensitivity.
- A standardized evaluation framework is needed.
Purpose of the Study:
- To propose a comprehensive three-level framework for sensitivity evaluation in QPI.
- To assess the theoretical efficiency of algorithms and the efficiency of imaging systems.
- To apply the framework to wavelength shifting interferometry (WSI).
Main Methods:
- Developed a framework including Cramér-Rao bound (CRB), algorithmic sensitivity, and experimental sensitivity.
- Derived the CRB in a shot-noise-limited regime.
- Evaluated a four-step Carré algorithm using simulations and experiments.
Main Results:
- The framework allows comparison of theoretical algorithm efficiency (CRB vs. algorithmic sensitivity).
- It reveals system efficiency by comparing algorithmic and experimental sensitivity.
- Algorithmic sensitivity can be estimated from single-dataset measurements.
Conclusions:
- The proposed framework provides a robust method for sensitivity evaluation in QPI.
- It enables convenient estimation of algorithmic sensitivity for system efficiency assessment.
- This approach is applicable to techniques like wavelength shifting interferometry.
