Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Super-resolution Fluorescence Microscopy

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...

You might also read

Related Articles

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

Sort by

Same author

Acute psychogenic mutism following total hip arthroplasty under general anesthesia in an elderly patient: a case report.

BMC anesthesiology·2026

Same author

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026

Same author

Functional consistency and molecular evolution: a comprehensive characterization of primary endometrial cancer-associated fibroblasts during in vitro expansion.

Journal of translational medicine·2026

Same author

SpaVGMC: A Unified Representation Learning Framework via Structural and Semantic Alignment in Spatial Transcriptomics.

Journal of chemical information and modeling·2026

Same author

MHNNMDA: multi-stage hypergraph neural network for predicting miRNA-disease association types.

Journal of computer-aided molecular design·2026

Same author

Prediction of multicategory miRNA-disease associations based on bidirectional hypergraph attention network and gated convolutional strategy.

Journal of computer-aided molecular design·2026

Search research articles

Related Experiment Video

Updated: Jul 5, 2025

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Parallel Alternating Iterative Optimization for Cardiac Magnetic Resonance Image Blind Super-Resolution.

Zhaoyang Song, Defu Qiu, Xiaoqiang Zhao

IEEE Journal of Biomedical and Health Informatics

|January 24, 2024

Summary

A new method called PAIBSR improves cardiac MRI resolution by using iterative optimization and dynamic blur correction. This enhances diagnostic accuracy for heart conditions.

More Related Videos

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts

Published on: March 29, 2024

Related Experiment Videos

Last Updated: Jul 5, 2025

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts

Author Spotlight: Customized Light-Sheet Imaging for Investigating Myocardial Structures in Rodent Hearts

Published on: March 29, 2024

Area of Science:

Medical Imaging
Image Processing
Cardiology

Background:

Cardiac magnetic resonance imaging (CMRI) super-resolution (SR) is crucial for diagnosing heart conditions.
Existing SR methods using bicubic degradation often produce blurred images, limiting diagnostic accuracy.

Purpose of the Study:

To develop an advanced SR method for CMRI that overcomes the limitations of current techniques.
To improve the resolution and quality of CMRI images for better cardiac structure and function analysis.

Main Methods:

Proposed a parallel alternating iterative optimization for CMRI blind SR (PAIBSR).
Introduced dynamically corrected blur kernels and intermediate low-resolution features as priors.
Developed a blur kernel update module and an enhanced spatial feature transformation residual block.

Main Results:

The PAIBSR method demonstrated superior performance compared to state-of-the-art SR techniques on synthetic datasets.
Achieved visually pleasing and high-resolution CMRI images.
Validated the effectiveness of the proposed parallel optimization strategy and feature transformation block.

Conclusions:

PAIBSR significantly enhances CMRI image quality, offering clearer diagnostic information.
The method provides a more accurate basis for diagnosing cardiac abnormalities and personalizing treatment.
PAIBSR represents a significant advancement in CMRI super-resolution reconstruction technology.