Related Experiment Video
Updated: Nov 5, 2025

08:39
Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
Published on: January 28, 2019
10.1K
Verification of phase measurement error sources in phase-shifting interferometry with four step phase-shifting
Applied Optics
|May 13, 2021
Summary
A novel grayscale image method verifies phase measurement errors in interferometry. This technique identifies and estimates magnitudes of various systematic and random errors before experiments, enhancing accuracy.
Area of Science:
- Optical Metrology
- Interferometry
- Image Processing
Background:
- Phase-shifting techniques are crucial in interferometry but susceptible to systematic and random errors.
- Common errors include miscalibration, nonlinear responses, tilt shifts, nonlinear recording, speckles, and fringe fluctuations.
- Accurate error identification is vital for reliable interferometric measurements.
Purpose of the Study:
- To propose a new method for verifying phase measurement error sources in interferometry.
- To introduce a grayscale image representation for more expressive error visualization.
- To enable qualitative estimation of error magnitudes prior to experimental execution.
Main Methods:
- A four-step phase-shifting algorithm is used to generate a lattice-site representation.
- This representation is transformed into a grayscale image depicting phase-shift angle distributions.
- The shape and characteristics of the grayscale image are analyzed to identify error sources.
Main Results:
- The grayscale image provides a more demonstrative visualization of error sources compared to traditional dot distributions.
- The method allows for the recognition of various systematic and random errors affecting phase measurements.
- Qualitative estimation of error magnitudes is achievable before conducting experiments.
Conclusions:
- The proposed grayscale image method offers a valuable tool for diagnosing phase measurement errors in interferometry.
- This technique enhances the reliability of phase-shifting measurements by enabling pre-experimental error assessment.
- The method is applicable to diverse interferometric applications, including Fizeau interferometry and fringe projection profilometry.
Related Concept Videos
Interference: Path Lengths
1.6K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
1.6K
Time and frequency -Domain Interpretation of Phase-lead Control
183
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
183
Phase Contrast and Differential Interference Contrast Microscopy
11.3K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
11.3K
Common Leveling Mistakes and Errors
184
A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
184
Electronic Distance Measuring Instruments
203
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...
203
Systematic Error: Methodological and Sampling Errors
6.0K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
6.0K

