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

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

Electrically switchable continuous phase liquid crystal Fresnel zone plate.

Light, science & applications·2026

Same author

Raman Microspectroscopy for Structural Indication in Ultrafast Laser Writing.

Small methods·2026

Same author

Inaugural message from the new Co-Editor-in-Chief.

Light, science & applications·2026

Same author

Correction of Background in Fluorescence Correlation Spectroscopy for Accurate Determination of Particle Number.

Biomolecules·2026

Same author

Polarization-Independent and Electrically Tunable Polymerized Liquid Crystal Optical Elements.

ACS photonics·2026

Same author

Investigating probe-receptor interactions and enhancing fluorescence guided surgery with fluorescence lifetime imaging and NF-800 in HER-2 positive esophageal adenocarcinoma.

Scientific reports·2025

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 3, 2026

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Published on: January 3, 2017

Wavefront estimation through structured detection in laser scanning microscopy.

Francesco Fersini^1,2,3, Alessandro Zunino¹, Pietro Morerio⁴

¹Molecular Microscopy and Spectroscopy, Istituto Italiano di Tecnologia, Genoa, Italy.

Biomedical Optics Express

|March 2, 2026

Summary

This summary is machine-generated.

We developed a new adaptive optics (AO) method for laser scanning microscopy (LSM) that uses image-scanning microscopy and a neural network to estimate optical aberrations. This allows for faster, less invasive, high-resolution imaging without specialized hardware.

More Related Videos

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

Related Experiment Videos

Last Updated: Mar 3, 2026

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks

Published on: January 3, 2017

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

Area of Science:

Optical imaging
Microscopy
Biophysics

Background:

Laser scanning microscopy (LSM) is crucial for life sciences but limited by optical aberrations.
Adaptive optics (AO) can correct aberrations but often requires invasive hardware or long sample exposure.
Current aberration estimation methods are sample-invasive and less user-friendly.

Purpose of the Study:

To propose a simple, efficient adaptive optics (AO) strategy for confocal laser scanning microscopy (CLSM).
To demonstrate that image-scanning microscopy datasets inherently contain aberration information.
To enable faster, less invasive, and more accessible high-resolution imaging.

Main Methods:

Utilized image-scanning microscopy with a detector array and an adaptive optics (AO) element for beam shaping.
Developed a custom convolutional neural network (CNN) to decode aberration information.
Estimated aberrations up to the 11th Zernike coefficient from single-acquisition datasets.

Main Results:

Demonstrated that detector array datasets inherently encode aberration information.
Successfully decoded aberrations using a CNN from single CLSM acquisitions.
Established a new paradigm for aberration sensing in LSM.

Conclusions:

The proposed method enables faster, less invasive aberration estimation in LSM.
This data-driven approach opens avenues for advanced aberration decoding strategies.
The strategy synergizes with conventional AO methods, enhancing accessibility to high-resolution imaging.