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

9.0K
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...
9.0K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

16.1K
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,...
16.1K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.6K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Zerotree Coding of Subdivision Wavelet Coefficients in Dynamic Time-Varying Meshes.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Motion-Compensated Predictive RAHT for Dynamic Point Clouds.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023
Same author

Differential Transform for Video-Based Plenoptic Point Cloud Coding.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2022
Same author

Geometry Coding for Dynamic Voxelized Point Clouds Using Octrees and Multiple Contexts.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2019
Same author

Motion-Compensated Compression of Dynamic Voxelized Point Clouds.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2017
Same author

Transform Coding for Point Clouds Using a Gaussian Process Model.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2017

Related Experiment Video

Updated: Oct 6, 2025

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

9.9K

Fractional Super-Resolution of Voxelized Point Clouds.

Tomas M Borges, Diogo C Garcia, Ricardo L de Queiroz

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |January 14, 2022
    PubMed
    Summary

    This study introduces a novel method for super-resolving voxelized point clouds, enhancing their density and precision. The technique utilizes self-similarities within downsampled neighborhoods to improve compression and rendering quality.

    More Related Videos

    Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
    08:41

    Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

    Published on: August 16, 2012

    11.7K
    Super-resolution Imaging of the Bacterial Division Machinery
    08:47

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    12.0K

    Related Experiment Videos

    Last Updated: Oct 6, 2025

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
    11:38

    Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

    Published on: August 23, 2017

    9.9K
    Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
    08:41

    Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

    Published on: August 16, 2012

    11.7K
    Super-resolution Imaging of the Bacterial Division Machinery
    08:47

    Super-resolution Imaging of the Bacterial Division Machinery

    Published on: January 21, 2013

    12.0K

    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Geometric Modeling

    Background:

    • Voxelized point clouds are essential for 3D data representation.
    • Downsampling often leads to loss of detail and precision.
    • Existing super-resolution methods are not optimized for voxelized point clouds.

    Purpose of the Study:

    • To develop a method for super-resolving voxelized point clouds.
    • To enhance the density and precision of downsampled point clouds.
    • To improve compression and rendering of 3D data.

    Main Methods:

    • Utilizing lookup-tables (LUT) constructed from self-similarities.
    • Applying the method to voxelized point clouds downsampled by fractional factors.
    • Super-resolving geometry and interpolating texture by averaging neighbor colors.

    Main Results:

    • Demonstrated effectiveness of the proposed approach against baseline methods.
    • Achieved significant improvements in point cloud densification and precision.
    • Validated the technique across diverse point cloud datasets.

    Conclusions:

    • The proposed intra-frame super-resolution technique is effective for voxelized point clouds.
    • This method offers a novel solution for arbitrary resampling scale factors.
    • The approach has practical applications in improving 3D data compression and rendering.