Related Experiment Video
Updated: Jan 19, 2026

Production of Membrane-Filtered Phase-Shift Decafluorobutane Nanodroplets from Preformed Microbubbles
Published on: March 23, 2021
Accurate and fast two-step phase shifting algorithm based on principle component analysis and Lissajous ellipse
A new random phase-shifting algorithm using principal component analysis and Lissajous ellipse fitting (PCA&LEF) offers accurate phase distribution measurement in interferometry with less computation. This method requires only two images and is robust to noise and varying conditions.
Area of Science:
- Optical Metrology
- Interferometry
- Phase Measurement
Background:
- Phase shifting interferometry (PSI) is crucial for accurate optical measurements.
- Traditional PSI methods often require multiple phase-shifted interferograms and significant computational time.
- Existing algorithms can be sensitive to noise and variations in intensity and modulation.
Purpose of the Study:
- To develop a novel random phase-shifting algorithm for enhanced measurement accuracy and reduced computational load in interferometry.
- To propose a method that minimizes pre-filtering requirements and is adaptable to various experimental conditions.
Main Methods:
- A new algorithm combining Principal Component Analysis (PCA) and Lissajous Ellipse Fitting (LEF) is introduced.
- The PCA&LEF algorithm processes only two phase-shifted interferograms.
- It is designed to be effective without pre-filtering and robust against noise and non-uniform intensity/modulation.
Main Results:
- The PCA&LEF algorithm achieves relatively accurate phase distribution with minimal computational time.
- It demonstrates suitability for diverse background intensity, modulation amplitude distributions, and noise levels.
- The method can yield absolutely accurate results under ideal conditions and partially suppresses imperfections.
Conclusions:
- The proposed PCA&LEF algorithm offers a computationally efficient and accurate solution for phase measurement in interferometry.
- It overcomes limitations of traditional PCA methods, such as the need for more than three interferograms.
- Simulations and experimental results confirm the correctness and feasibility of the PCA&LEF approach.
More Related Videos
Related Concept Videos
07:10Production of Membrane-Filtered Phase-Shift Decafluorobutane Nanodroplets from Preformed Microbubbles
08:28Synthesis of Phase-shift Nanoemulsions with Narrow Size Distributions for Acoustic Droplet Vaporization and Bubble-enhanced Ultrasound-mediated Ablation
Sound Waves and Doppler Shift
Waves are disturbances that propagate through a material medium or empty space. Light waves can travel through a vacuum and some forms of matter, and are transverse in nature, which means that the oscillations are perpendicular to the direction of propagation. However, sound waves are pressure waves that travel through an elastic medium like...
Electrophoretic Mobility Shift Assay (EMSA)
This video shows the concepts of EMSA and a general procedure, including gel and protein preparation, binding, electrophoresis, and detection. Applications covered in this video...
09:45New Variations for Strategy Set-shifting in the Rat
08:39Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

