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Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

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...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...

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Related Experiment Video

Updated: Jun 6, 2026

Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition
09:55

Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition

Published on: January 5, 2024

Robust phase-unwrapping method for phase images with high noise content.

P G Charette, I W Hunter

    Applied Optics
    |November 25, 2010
    PubMed
    Summary

    This study introduces a new phase unwrapping method for noisy images. It accurately reconstructs phase information from complex fringe patterns, improving image analysis.

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Metrology

    Background:

    • Phase unwrapping is crucial for quantitative phase imaging, but is challenged by noise and complex fringe patterns.
    • Existing methods often struggle with degraded fringe gradients, limiting their applicability in real-world scenarios.

    Purpose of the Study:

    • To develop a robust phase unwrapping technique capable of handling noisy phase images.
    • To address limitations of current methods in the presence of arbitrary fringe patterns and gradient degradation.

    Main Methods:

    • A novel phase unwrapping approach is presented, focusing on identifying distinct regions between fringe boundaries.
    • Phase shifting of identified regions by multiples of 2π is employed for phase reconstruction.
    • Image pixels are segmented using a least-squares plane model fit to overlapping domains for robust boundary detection.

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    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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    Published on: December 3, 2013

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    Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition
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    11:34

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    Published on: December 3, 2013

    Main Results:

    • The proposed method demonstrates robustness against fringe gradient degradation.
    • It effectively handles noise, filtering artifacts, and limitations from finite instrumentation bandwidth.
    • Successful phase unwrapping is achieved on images with arbitrary fringe patterns.

    Conclusions:

    • The developed phase unwrapping method offers a reliable solution for noisy and complex phase imaging applications.
    • Its tolerance to various image imperfections makes it suitable for diverse scientific and industrial metrology tasks.