Jove
Visualize
Contact Us

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pediatric-specific computer-aided detection of lung nodules in computed tomography scans.

Journal of medical imaging (Bellingham, Wash.)·2026
Same author

Pediatric pulmonary nodules: current state of knowledge, AI applications, and future directions.

Pediatric radiology·2025
Same author

Performance of Lung Nodule Computer-Aided Detection Systems on Standard-Dose and Low-Dose Pediatric CT Scans: An Intraindividual Comparison.

AJR. American journal of roentgenology·2024
Same author

Exponential Fusion of Interpolated Frames Network (EFIF-Net): Advancing Multi-Frame Image Super-Resolution with Convolutional Neural Networks.

Sensors (Basel, Switzerland)·2024
Same author

Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.

AJR. American journal of roentgenology·2023
Same author

Simulation of anisoplanatic lucky look imaging and statistics through optical turbulence using numerical wave propagation: erratum.

Applied optics·2022
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 31, 2026

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

Super-resolution for imagery from integrated microgrid polarimeters.

Russell C Hardie1, Daniel A LeMaster, Bradley M Ratliff

  • 1Department of Electrical and Computer Engineering, University of Dayton, Dayton, Ohio 45459-0232, USA. rhardie@udayton.edu

Optics Express
|July 13, 2011
PubMed
Summary
This summary is machine-generated.

New super-resolution algorithms enhance microgrid polarimeter imagery by restoring undersampled polarization data. These advanced methods overcome aliasing artifacts, improving polarization content without reducing resolution.

More Related Videos

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

Related Experiment Videos

Last Updated: May 31, 2026

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

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

Area of Science:

  • Optics and Photonics
  • Image Processing
  • Remote Sensing

Background:

  • Microgrid polarimeters use focal plane arrays (FPAs) with micropolarizers.
  • Subsampling FPA images for polarization channels reduces sampling frequency, causing aliasing artifacts.
  • Aliasing corrupts polarization information, necessitating advanced image restoration techniques.

Purpose of the Study:

  • To introduce novel multi-channel, multi-frame super-resolution (SR) algorithms for microgrid polarization imagers.
  • To address aliasing and other image degradations inherent in microgrid polarimetry.
  • To enhance polarimetric image restoration without sacrificing field of view or optical resolution.

Main Methods:

  • Development of the first multi-channel, multi-frame SR algorithms tailored for microgrid polarization imaging.
  • Implementation of SR methods that exploit correlations between polarimetric channels.
  • Utilizing a regularized least squares approach with an iterative solution and an adaptive Wiener filter-based SR method.

Main Results:

  • Demonstrated significant enhancement of polarimetric imagery using the new SR algorithms.
  • Showcased superior performance of multi-channel SR methods compared to single-channel approaches.
  • Successfully mitigated aliasing artifacts and other image degradations.

Conclusions:

  • The developed multi-channel SR algorithms effectively restore degraded microgrid polarization imagery.
  • These algorithms offer a viable solution for improving the quality of polarimetric data.
  • Exploiting inter-channel correlations significantly boosts the performance of SR in polarimetry.