Jove
Visualize
Contact Us
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 Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

11.9K
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...
11.9K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.5K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
1.5K

You might also read

Related Articles

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

Sort by
Same author

Cross-medal arrays of Ta-doped rutile titania.

Journal of the American Chemical Society·2009
Same author

Modeling and optimization of microbial hyaluronic acid production by Streptococcus zooepidemicus using radial basis function neural network coupling quantum-behaved particle swarm optimization algorithm.

Biotechnology progress·2009
Same author

A facile approach for cupric ion detection in aqueous media using polyethyleneimine/PMMA core-shell fluorescent nanoparticles.

Nanotechnology·2009
Same author

[Overproduction of catalase by oxidative stress on Bacillus subtilis WSHDZ-01].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology·2009
Same author

[Construction of a RU486 inducible recombinant adenoviral vector carrying murine interleukin-12 gene and experimental treatment of colonic carcinoma].

Zhonghua yi xue za zhi·2009
Same author

A monolithic polymeric microdevice for pH-responsive drug delivery.

Biomedical microdevices·2009

Related Experiment Video

Updated: Nov 19, 2025

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

8.7K

Research on region selection super resolution restoration algorithm based on infrared micro-scanning optical imaging

Jian Chen1, Yan Li2, LiHua Cao2

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, Jilin, China. chenjian4500@163.com.

Scientific Reports
|February 3, 2021
PubMed
Summary

This study enhances infrared dim-small target imaging. An improved super-resolution restoration algorithm using an infrared micro-scanning optical model boosts image quality and detail for better detection.

More Related Videos

Super-resolution Imaging of the Bacterial Division Machinery
08:47

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

12.1K
Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
14:23

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

11.1K

Related Experiment Videos

Last Updated: Nov 19, 2025

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

8.7K
Super-resolution Imaging of the Bacterial Division Machinery
08:47

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

12.1K
Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
14:23

Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

Published on: March 6, 2018

11.1K

Area of Science:

  • Optoelectronics and Imaging Technology
  • Computer Vision and Image Processing

Background:

  • Infrared imaging is crucial for intelligent photoelectrical detection due to its unique advantages.
  • Dim-small targets in infrared images suffer from low detail and signal-to-noise ratio (SNR), limiting applications.
  • Enhancing infrared dim-small target imaging is a key research area.

Purpose of the Study:

  • To explore super-resolution restoration theory and technology for infrared dim-small targets.
  • To develop an optimized super-resolution restoration algorithm for infrared dim-small targets.
  • To improve the imaging performance of infrared dim-small targets.

Main Methods:

  • Focus on super-resolution restoration algorithms based on infrared micro-scanning optical models.
  • Optimize traditional super-resolution restoration algorithms.
  • Introduce an infrared micro-scanning optical model to overcome limitations of simple image processing.

Main Results:

  • An improved super-resolution restoration algorithm for infrared dim-small targets is proposed.
  • The infrared micro-scanning optical model enhances the restoration process.
  • Significant improvement in the performance of infrared image super-resolution restoration.

Conclusions:

  • Super-resolution restoration is fundamental for improving infrared dim-small target imaging.
  • The proposed algorithm and micro-scanning model effectively enhance infrared image quality.
  • This research addresses a critical bottleneck in infrared imaging applications.