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...

Three-Dimensional Microscopy in Microbiology

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

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,...

Total Internal Reflection Fluorescence Microscopy

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.

You might also read

Related Articles

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

Sort by

Same author

Heatwave-driven amplification of ozone formation offsets emission control benefits in VOC-limited megacities.

Journal of environmental management·2026

Same author

Three-dimensional voltage imaging in live larval zebrafish brains using fully genetically encoded voltage indicator.

Scientific reports·2026

Same author

Climate-driven dust intensification over the Mongolian Gobi in early spring.

Scientific reports·2026

Same author

Cordycepin attenuates nicotine-induced behavioral sensitization through inhibition of NF-κB signaling in rats.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026

Same author

Benzyl-Spacer-Engineered Prodrug: Enabling NIR Fluorescent Activation for Cancer Therapy in a Zebrafish Gallbladder Model.

Journal of medicinal chemistry·2026

Same author

Ensemble-Based Source Attribution of Fine Particulate Matter over South Korea during the ASIA-AQ/SIJAQ Campaign.

Environmental science & technology·2026

Same journal

Generative morphodynamic forecasting enables robust zero-shot volumetric medical segmentation.

Medical image analysis·2026

Same journal

ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphism.

Medical image analysis·2026

Same journal

MedP-CLIP: Medical CLIP with region-aware prompt integration.

Medical image analysis·2026

Same journal

Multi-organ guided diagnosis of mild cognitive impairment via hierarchical alignment and knowledge distillation.

Medical image analysis·2026

Same journal

SUDA: Simultaneous unsupervised knowledge distillation and adaptation of foundation models for efficient pathological image analysis.

Medical image analysis·2026

Same journal

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 28, 2025

Visualization of Endosome Dynamics in Living Nerve Terminals with Four-dimensional Fluorescence Imaging

Visualization of Endosome Dynamics in Living Nerve Terminals with Four-dimensional Fluorescence Imaging

Published on: April 16, 2014

Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network.

Changyeop Shin¹, Hyun Ryu¹, Eun-Seo Cho¹

¹School of Electrical Engineering, KAIST, 291, Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea.

Medical Image Analysis

|September 18, 2022

Summary

This summary is machine-generated.

This study introduces a recursive light propagation network (RLP-Net) for computational microscopy. This technique enables high-speed 3D imaging by virtually refocusing 2D images, overcoming photon collection limits.

Keywords:

3-D volume estimation Fluorescence microscopy Recursive inference Recursive neural network Virtual refocusing

More Related Videos

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

Published on: August 31, 2012

Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis

Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis

Published on: October 27, 2020

Related Experiment Videos

Last Updated: Aug 28, 2025

Visualization of Endosome Dynamics in Living Nerve Terminals with Four-dimensional Fluorescence Imaging

Visualization of Endosome Dynamics in Living Nerve Terminals with Four-dimensional Fluorescence Imaging

Published on: April 16, 2014

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

An Analytical Tool that Quantifies Cellular Morphology Changes from Three-dimensional Fluorescence Images

Published on: August 31, 2012

Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis

Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis

Published on: October 27, 2020

Area of Science:

Biophysics
Computational Imaging
Neuroscience

Background:

Three-dimensional fluorescence microscopy is limited by photon collection efficiency.
Existing methods struggle with speed and resolution in volumetric imaging.

Purpose of the Study:

To develop a computational microscopy technique for overcoming photon limitations in 3D fluorescence imaging.
To enable high-speed volumetric reconstruction from limited 2D image data.

Main Methods:

Extension of the recursive light propagation network (RLP-Net) for virtual refocusing.
Utilizing a recursive inference scheme for progressive axial plane prediction.
Employing self-supervised denoising for accurate long-distance virtual light propagation.

Main Results:

Demonstrated high-speed volumetric imaging of neuronal activity in a live zebrafish brain.
Successful reconstruction of 3D volumes from two adjacent 2D wide-field fluorescence images.
RLP-Net overcomes intrinsic performance limits of traditional 3D microscopy.

Conclusions:

RLP-Net offers a powerful computational approach for advanced 3D fluorescence microscopy.
The method significantly enhances imaging speed and volumetric reconstruction capabilities.
This technique has broad applications in live biological sample imaging.