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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.
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...
Bandpass Sampling01:17

Bandpass Sampling

In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2. The spectrum...
Chromatographic Resolution01:15

Chromatographic Resolution

In chromatography, a solute moves through a chromatographic column and tends to spread, forming a Gaussian-shaped band. The longer the solute spends in the column, the broader the band becomes. The broadening can lead to overlaps within the column, affecting separation effectiveness.
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In chromatography,...
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
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Reconstruction of Signal using Interpolation

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Related Experiment Video

Updated: Jun 19, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Superresolution for a nonnegative band-limited image.

N Miura, N Baba

    Optics Letters
    |October 31, 2009
    PubMed
    Summary

    This study introduces a superresolution imaging method using a conjugate-gradient approach. The technique enhances image resolution by leveraging object properties to double the band limit, validated through simulations.

    Area of Science:

    • Optics and Imaging Science
    • Digital Signal Processing
    • Computational Imaging

    Background:

    • Superresolution imaging aims to surpass the diffraction limit.
    • Existing methods face limitations in enhancing image band limits.
    • Nonnegativity constraints are crucial in certain image reconstruction problems.

    Purpose of the Study:

    • To present a novel superresolution method utilizing conjugate-gradient optimization.
    • To exploit the autoconvolution property of nonnegative object spectra.
    • To achieve a doubling of the image band limit.

    Main Methods:

    • A conjugate-gradient procedure is employed.
    • A nonnegativity constraint is applied during reconstruction.
    • The method leverages the relationship between an object's spectrum and its autoconvolution.

    More Related Videos

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    Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

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    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging
    10:01

    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

    Published on: September 8, 2017

    Related Experiment Videos

    Last Updated: Jun 19, 2026

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection
    07:42

    Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

    Published on: February 24, 2026

    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging
    10:01

    Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

    Published on: September 8, 2017

    Main Results:

    • The proposed method successfully doubles the band limit of an image.
    • Computer simulations demonstrate the effectiveness of the superresolution technique.
    • Performance analysis confirms the method's capability in enhancing image resolution.

    Conclusions:

    • The developed superresolution method offers significant improvements in image resolution.
    • The approach is effective for nonnegative objects and band-limited spectra.
    • This technique provides a viable solution for advanced imaging applications.