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

Video-rate gigapixel ptychography via space-time neural field representations.

Nature communications·2026

Same author

Suppression of visceral nociception by C-fiber transmission block using temporal interference sinusoidal stimulation.

Pain reports·2026

Same author

Ptychography at all wavelengths.

Nature reviews. Methods primers·2026

Same author

Phase-gradient-based initialization for lensless quantitative phase imaging.

Optics letters·2026

Same author

Unlocking dual-function sensing via topological edge and corner states.

Optics letters·2026

Same author

TriFTM-Net: Tri-Path Fourier-Temporal Modulation Network for macular edema pathology segmentation and reconstruction in high-precision intraoperative navigation.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Generalizable framework for multi-site bone density prediction using non-dominant wrist optical biomarkers.

Biomedical optics express·2026

Same journal

Erratum: Review of dynamic optical coherence tomography for intracellular motility [Invited]: errata.

Biomedical optics express·2026

Same journal

Digital-micromirror-device-based illumination strategies for background suppression in single-molecule localization microscopy.

Biomedical optics express·2026

Same journal

Synergistic combination of convective self-assembly and hollow core fiber for sensitive SERS detection of glucose molecules.

Biomedical optics express·2026

Same journal

Multimodal diagnostic network integrating infrared and mass spectra for lung cancer.

Biomedical optics express·2026

Same journal

Multimodal Optical Biosensing for Precision Medicine and Healthcare: Introduction to the feature issue.

Biomedical optics express·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 17, 2026

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Multilayer fluorescence imaging on a single-pixel detector.

Kaikai Guo¹, Shaowei Jiang¹, Guoan Zheng¹

¹Biomedical Engineering, University of Connecticut, Storrs, CT, 06269, USA.

Biomedical Optics Express

|July 23, 2016

Summary

This summary is machine-generated.

This study introduces a novel fluorescence imaging technique using multilayer modeling and lensless detection to overcome signal loss. The method reconstructs 3D images from 1D signals, enabling advanced applications in biological imaging.

Keywords:

(100.3010) Image reconstruction techniques (170.0110) Imaging systems (180.0180) Microscopy

More Related Videos

Single Molecule Fluorescence Microscopy on Planar Supported Bilayers

Single Molecule Fluorescence Microscopy on Planar Supported Bilayers

Published on: October 31, 2015

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

Related Experiment Videos

Last Updated: Mar 17, 2026

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Single Molecule Fluorescence Microscopy on Planar Supported Bilayers

Single Molecule Fluorescence Microscopy on Planar Supported Bilayers

Published on: October 31, 2015

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

Area of Science:

Optics and Photonics
Biomedical Imaging
Computational Imaging

Background:

Fluorescence imaging often suffers from high-frequency component loss due to optical limitations and scattering.
Reconstructing high-resolution 3D images from limited detection is a significant challenge in biological and medical imaging.

Purpose of the Study:

To develop an innovative imaging scheme that addresses the loss of high-frequency components in fluorescence detection.
To enable 3D fluorescence sectioning and deep-tissue imaging with enhanced resolution.

Main Methods:

Integration of multilayer sample modeling, ptychography-inspired algorithms, and lensless single-pixel detection.
Direct placement of a 3D sample on a single-pixel detector with illumination via a scanned, known mask to generate 3D speckle patterns.
Recovery of multi-layer images along the z-axis using captured 1D fluorescence signals.

Main Results:

Successful demonstration of a lensless imaging scheme capable of reconstructing 3D sample information.
Overcoming limitations associated with signal loss in conventional fluorescence detection paths.
Generation of multiple sample images along the z-axis from 1D fluorescence signals.

Conclusions:

The proposed integrated imaging scheme effectively tackles the challenge of high-frequency loss in fluorescence imaging.
This technique holds potential for applications in 3D fluorescence sectioning, time- and spectrum-resolved imaging.
The method may also advance deep-tissue fluorescence imaging by leveraging the memory effect.