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

14.7K
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...
14.7K

You might also read

Related Articles

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

Sort by
Same author

Enhancing Interfacial Charge Transport in Gold Nanoparticle@Polyaniline Hybrids via N-Heterocyclic Carbene Linkers.

Angewandte Chemie (International ed. in English)·2026
Same author

Solvated Electron Generation from Coupled Plasmon Modes of Gold Nanoparticles Using Visible Light.

Nano letters·2026
Same author

Feature Selection and Hyperparameter Optimization for Machine Learned Classification of 3D Single-Particle Tracking.

Chemical & biomedical imaging·2026
Same author

D‑Blur: A Deep Learning Approach for Mapping Subdiffraction Diffusion with Motion-Blurred Images.

Chemical & biomedical imaging·2025
Same author

Plasmonic pathway to hybrid nanomaterials through energy transfer.

Science advances·2025
Same author

The Impact of Rare Adsorption Site Clustering on Peak Broadening in Chromatography.

Analytical chemistry·2025
Same journal

Application of ephrin-B2 loaded glycol chitosan-silk fibroin hydrogel in the treatment of diabetic refractory wounds.

Scientific reports·2026
Same journal

International expert Delphi consensus on thromboprophylaxis in metabolic and bariatric surgery.

Scientific reports·2026
Same journal

Assessing the cross-region knowledge transfer capability of selected deep learning building vectorization methods in the context of available training datasets.

Scientific reports·2026
Same journal

Feasibility and preliminary effects of outdoor versus indoor cognitive-motor therapy in women with Alzheimer's disease: A randomized single-blind pilot study.

Scientific reports·2026
Same journal

Hallmarks of social action in the vocal turn-taking of wild common marmosets (Callithrix jacchus).

Scientific reports·2026
Same journal

Role and mechanism of AOPPs-induced NOX4-mediated ferroptosis in intervertebral disc degeneration.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Mar 16, 2026

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
07:12

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

588

Generalized recovery algorithm for 3D super-resolution microscopy using rotating point spread functions.

Bo Shuang1, Wenxiao Wang2, Hao Shen1

  • 1Department of Chemistry, Rice University, Houston, TX 77251, USA.

Scientific Reports
|August 5, 2016
PubMed
Summary
This summary is machine-generated.

This study presents a novel 3D super-resolution recovery algorithm for phase mask microscopy. The open-source program enables precise 3D imaging and tracking, with potential for real-time processing.

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

12.3K
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

17.1K

Related Experiment Videos

Last Updated: Mar 16, 2026

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
07:12

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

588
Super-resolution Imaging of the Bacterial Division Machinery
08:47

Super-resolution Imaging of the Bacterial Division Machinery

Published on: January 21, 2013

12.3K
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

17.1K

Area of Science:

  • Microscopy
  • Optical Imaging
  • Computational Science

Background:

  • Super-resolution microscopy with phase masks offers advanced 3D imaging capabilities.
  • Existing generalized recovery algorithms for complex 3D point spread functions are lacking.
  • Accurate 3D localization is crucial for various scientific investigations.

Purpose of the Study:

  • To introduce a generalized 3D super-resolution recovery algorithm for diverse phase masks.
  • To enable precise 3D localization of events, such as adsorption, in complex samples.
  • To develop an open-source tool for 3D recovery and phase mask evaluation.

Main Methods:

  • Developed a 3D super-resolution recovery algorithm utilizing fast deconvolution for initial guesses.
  • Employed least squares fitting for refining image reconstruction.
  • Integrated a machine learning-determined threshold to prevent overfitting.
  • Leveraged parallel computation on graphics processing units (GPUs) for accelerated processing.

Main Results:

  • The algorithm successfully super-localized 3D adsorption events in experimental porous polymer film data.
  • Demonstrated the algorithm's utility in evaluating phase mask performance for 3D imaging.
  • Showcased significant processing time reduction through GPU parallelization.
  • Simulations indicated the feasibility of real-time processing via desktop parallelization.

Conclusions:

  • The developed algorithm provides a generalized solution for 3D super-resolution recovery with various phase masks.
  • This open-source program is the first of its kind for generalized 3D recovery using rotating point spread functions.
  • The findings pave the way for advanced 3D imaging and real-time analysis in microscopy.