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

Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces06:14

Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces

7.0K
Presented is an easy method to fabricate nano-micro multiscale structures, for functional surfaces, by aggregating nanofibers fabricated using an anodic aluminum oxide...
7.0K
Specific Labeling of Mitochondrial Nucleoids for Time-lapse Structured Illumination Microscopy07:53

Specific Labeling of Mitochondrial Nucleoids for Time-lapse Structured Illumination Microscopy

7.7K
The protocol describes specific labeling of mitochondrial nucleoids with a commercially available DNA gel stain, acquisition of time lapse series of live labeled cells by super-resolution structured illumination microscopy (SR-SIM), and automatic tracking of nucleoid...
7.7K
Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy14:11

Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy

16.3K
This article describes a working protocol to image dendritic spines from hippocampal neurons in vitro using Structured Illumination Microscopy (SIM). Super-resolution microscopy using SIM provides image resolution significantly beyond the light diffraction limit in all three spatial dimensions, allowing the imaging of individual dendritic spines with improved...
16.3K
Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data09:09

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

10.2K
To investigate flow velocities and directionality of filamentous-actin at the T cell immunological synapse, live-cell super-resolution imaging is combined with total internal reflection fluorescence and quantified with spatio-temporal image correlation spectroscopy.
10.2K
A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors11:15

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

26.1K
This article provides an in depth guide for the assembly and operation of a structured illumination microscope operating with total internal reflection fluorescence illumination (TIRF-SIM) to image dynamic biological processes with optical super-resolution in multiple...
26.1K
Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells11:55

Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells

4.6K
This protocol demonstrates how to image biological cryo-preserved samples using cryo-structured illumination microscopy. We demonstrate the methodology by imaging the cytoskeleton of U2OS...
4.6K

You might also read

Related Articles

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

Sort by
Same author

Feature issue introduction: 3D image acquisition and display: technology, perception and applications.

Optics express·2026
Same author

Compressing and expanding optical matrix-vector multipliers for enabling optical image encoder-decoders and generators.

Light, science & applications·2026
Same author

Denoising events camera data by overlapping multiple encoded channels.

Optics letters·2025
Same author

Overview of photon-counted three-dimensional imaging and related applications.

Optics express·2025
Same author

Focus issue introduction: 3D image acquisition and display: technology, perception and applications.

Optics express·2025
Same author

Invisible CMOS Camera Dazzling for Conducting Adversarial Attacks on Deep Neural Networks.

Sensors (Basel, Switzerland)·2025
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Jan 19, 2026

Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces
06:14

Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces

Published on: September 11, 2018

7.0K

Compressive ultraspectral imaging using multiscale structured illumination.

Vladislav Kravets, Paul Kondrashov, Adrian Stern

    Applied Optics
    |September 11, 2019
    PubMed
    Summary
    This summary is machine-generated.

    We developed a new hyperspectral imaging method using multiscale Hadamard sampling. This technique provides high-resolution spectral images with efficient data compression and a quick preview capability.

    More Related Videos

    Specific Labeling of Mitochondrial Nucleoids for Time-lapse Structured Illumination Microscopy
    07:53

    Specific Labeling of Mitochondrial Nucleoids for Time-lapse Structured Illumination Microscopy

    Published on: June 4, 2020

    7.7K
    Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy
    14:11

    Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy

    Published on: May 4, 2014

    16.3K

    Related Experiment Videos

    Last Updated: Jan 19, 2026

    Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces
    06:14

    Multiscale Structures Aggregated by Imprinted Nanofibers for Functional Surfaces

    Published on: September 11, 2018

    7.0K
    Specific Labeling of Mitochondrial Nucleoids for Time-lapse Structured Illumination Microscopy
    07:53

    Specific Labeling of Mitochondrial Nucleoids for Time-lapse Structured Illumination Microscopy

    Published on: June 4, 2020

    7.7K
    Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy
    14:11

    Imaging Dendritic Spines of Rat Primary Hippocampal Neurons using Structured Illumination Microscopy

    Published on: May 4, 2014

    16.3K

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Spectroscopy

    Background:

    • Hyperspectral imaging captures detailed spectral information across numerous bands.
    • Traditional hyperspectral imaging techniques often require significant data storage and processing.
    • Compressive sensing offers a potential solution for efficient data acquisition.

    Purpose of the Study:

    • To introduce a novel compressive spectral imaging technique.
    • To achieve spatially resolved ultraspectral resolution.
    • To enable efficient data acquisition and preview generation.

    Main Methods:

    • Implementation of a multiscale sampling strategy.
    • Utilizing the Hadamard basis for compressive sensing.
    • Application of the fast Hadamard transform for preview generation.

    Main Results:

    • Attainment of high-quality hyperspectral images.
    • Demonstration of efficient data compression with a low compression ratio.
    • Successful generation of a lower-resolution preview image.

    Conclusions:

    • The proposed multiscale Hadamard sampling technique is effective for compressive spectral imaging.
    • This method balances high-resolution imaging with efficient data handling.
    • The technique offers practical advantages for hyperspectral data acquisition.