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

6.9K
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...
6.9K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

13.0K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
13.0K

You might also read

Related Articles

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

Sort by
Same author

A Progressive Gaussian Splatting Framework for Monocular-Only High-Fidelity Surgical Scene Reconstruction.

IEEE transactions on bio-medical engineering·2026
Same author

Clinically constrained optical design of a high-numerical aperture miniature immersion objective for probe-based confocal laser endomicroscopy.

Bioscience trends·2026
Same author

Robotic-assisted bronchoscopy in dye localization in thoracoscopic pulmonary nodule resection: An initial experience.

JTCVS techniques·2026
Same author

Asymmetric Fe<sup>3 +</sup>/Fe<sup>3</sup>⁻<sup>δ</sup> interfaces engineering in MOFs via boronic acid ligand substitution for targeted bioaerosol capture and inactivation.

Journal of hazardous materials·2026
Same author

Noise2Average: An iterative residual learning strategy for image denoising without clean data.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

RT-SAM: Visual-Prompt Fusion and Uncertainty Enhancement for Nasopharyngeal Carcinoma Radiotherapy Target Delineation.

IEEE journal of biomedical and health informatics·2026

Related Experiment Video

Updated: May 29, 2025

Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers
10:07

Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

Published on: April 9, 2014

10.0K

Fast In Vivo Two-Photon Fluorescence Imaging via Lateral and Axial Resolution Restoration With Self-Supervised

Zhengyuan Pan1, Man Lei1, Hongen Liao1

  • 1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Journal of Biophotonics
|February 5, 2025
PubMed
Summary

This study introduces a deep learning framework, Lateral and Axial Resolution Restoration (LARR), to enhance two-photon fluorescence (TPF) imaging. LARR significantly boosts imaging speed and resolution, overcoming limitations of conventional TPF systems.

Keywords:
fast imagingimage restorationresolution enhancementtwo‐photon fluorescence microscopy

More Related Videos

Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina
09:03

Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina

Published on: February 13, 2021

4.2K
Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy
12:51

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

8.9K

Related Experiment Videos

Last Updated: May 29, 2025

Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers
10:07

Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

Published on: April 9, 2014

10.0K
Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina
09:03

Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina

Published on: February 13, 2021

4.2K
Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy
12:51

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

8.9K

Area of Science:

  • Biomedical Imaging
  • Deep Learning
  • Optical Microscopy

Background:

  • Two-photon fluorescence (TPF) imaging offers high resolution at greater depths.
  • Conventional TPF systems struggle to balance high resolution with imaging speed.

Purpose of the Study:

  • To develop an innovative deep learning framework, Lateral and Axial Resolution Restoration (LARR), to resolve the trade-off between resolution and speed in TPF imaging.
  • To computationally restore sparsely sampled TPF images for isotropic resolution enhancement.

Main Methods:

  • Developed a deep learning framework named Lateral and Axial Resolution Restoration (LARR).
  • Employed a self-supervised training scheme for image restoration.
  • Achieved 4-fold axial and 16-fold lateral resolution enhancement.

Main Results:

  • LARR successfully restored sparsely sampled TPF images to isotropic resolution.
  • Demonstrated preservation of fine structural features with improved signal-to-noise ratio and structure similarity index.
  • Achieved a 60-fold increase in imaging speed compared to conventional TPF systems while maintaining comparable resolution.

Conclusions:

  • The LARR framework effectively breaks the contradiction between imaging resolution and speed in TPF.
  • LARR shows potential as a valuable tool for high-speed, high-resolution TPF imaging applications.