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...

Confocal Fluorescence Microscopy

Confocal Fluorescence Microscopy

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,...

You might also read

Related Articles

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

Sort by

Same author

Cerebral Artery Pulsatility, Premorbid Blood Pressure, and Small Vessel Disease on Brain Imaging: A Population-Based Study.

Neurology·2026

Same author

Temporal Patterns in Stroke Recurrence at Younger Ages: A Systematic Review and Meta-Analysis.

JAMA neurology·2026

Same author

Temporal trends in case fatality, long-term survival, and vascular events after stroke in young and middle-aged individuals: A systematic review and meta-analysis.

International journal of stroke : official journal of the International Stroke Society·2026

Same author

Adaptive orthogonal matching pursuit and group K-SVD dictionary learning framework for bioluminescence tomography.

Optics express·2026

Same author

Adaptive Bayesian augmented Lagrangian algorithm for fluorescence molecular tomography.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026

Same author

Chain-length matters: How benzylalkyldimethylammonium quaternary disinfectants disrupt gonadal steroidogenesis via 3β-hydroxysteroid dehydrogenase inhibition.

Ecotoxicology and environmental safety·2026

Search research articles

Related Experiment Video

Updated: May 24, 2025

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Dimension Reduction Based on Grouped Feature Selection Strategy for Fluorescence Molecular Tomography.

Linxin Li, Lizhi Zhang, Yizhe Zhao

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|March 5, 2025

Summary

A new grouped feature selection strategy (GFS) enhances Fluorescence Molecular Tomography (FMT) imaging by reducing computational complexity. This method improves reconstruction speed and accuracy, paving the way for faster clinical diagnoses.

More Related Videos

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

Hybrid µCT-FMT imaging and image analysis

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Related Experiment Videos

Last Updated: May 24, 2025

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

Hybrid µCT-FMT imaging and image analysis

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Area of Science:

Biomedical Imaging
Optical Imaging
Computational Imaging

Background:

Fluorescence Molecular Tomography (FMT) offers high sensitivity but faces computational and memory challenges.
Multi-point excitation and multi-view measurements increase accuracy but also complexity.

Purpose of the Study:

To develop a grouped feature selection strategy (GFS) to reduce the system matrix size and computational complexity in FMT.
To improve the reconstruction speed and efficiency of FMT.

Main Methods:

Constructed a similarity measure based on matrix row correlation.
Defined information entropy to quantify surface measurement information.
Combined correlation and entropy with minimum redundancy and maximum relevance (mRMR) for dimensionality reduction.

Main Results:

The proposed GFS method significantly reduced matrix size and computational load.
Numerical simulations demonstrated GFS superiority over Principal Component Analysis (PCA) in reconstruction accuracy and efficiency.

Conclusions:

GFS effectively reduces dimensionality in FMT, enhancing reconstruction speed and accuracy.
This strategy holds potential for facilitating rapid clinical diagnosis and treatment decisions.