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

Confocal Fluorescence Microscopy01:16

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,...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by
Same author

Bacterial exploration of solid/liquid interfaces: developing platforms to control the physicochemical microenvironment.

The European physical journal. E, Soft matter·2025
Same author

Optical Sectioning for Reflection Interference Microscopy: Quantitative Imaging at Soft Interfaces.

Langmuir : the ACS journal of surfaces and colloids·2025
Same author

Demixing fluorescence time traces transmitted by multimode fibers.

Nature communications·2024
Same author

Neurophotonics beyond the surface: unmasking the brain's complexity exploiting optical scattering.

Neurophotonics·2024
Same author

Neurophotonics beyond the Surface: Unmasking the Brain's Complexity Exploiting Optical Scattering.

ArXiv·2024
Same author

Substrate stiffness impacts early biofilm formation by modulating <i>Pseudomonas aeruginosa</i> twitching motility.

eLife·2023

Related Experiment Video

Updated: Jul 17, 2026

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

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

Published on: May 30, 2016

Quantifying optical sectioning in reflection microscopy with patterned illumination.

Cathie Ventalon1, Agathe Nidriche2, Delphine Débarre2

  • 1Institut de Biologie de l'ENS (IBENS), Département de biologie, École normale supérieure, CNRS, INSERM, Université PSL, 75005 Paris, France.

Biomedical Optics Express
|July 16, 2026
PubMed
Summary

This study analyzes line confocal (LC) and structured illumination microscopy (SIM) for reflection imaging. We provide analytical models and experimental data to guide the selection of optimal optical sectioning techniques for various applications.

More Related Videos

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
14:09

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Related Experiment Videos

Last Updated: Jul 17, 2026

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

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

Published on: May 30, 2016

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope
14:09

Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

Published on: April 7, 2014

Area of Science:

  • Optics and Photonics
  • Biophysics
  • Materials Science

Background:

  • Patterned illumination techniques are established for fluorescence microscopy but underexplored in reflection imaging.
  • Existing characterization of sectioning techniques for reflection imaging is limited.

Purpose of the Study:

  • To numerically and analytically study line confocal (LC) and structured illumination microscopy (SIM) for coherent reflection imaging.
  • To derive analytical equations for sectioning performance based on optical parameters.
  • To compare theoretical predictions with experimental data and quantify method precision and accuracy.

Main Methods:

  • Numerical and analytical modeling of LC and SIM techniques.
  • Derivation of approximate analytical equations relating sectioning performance to optical setup parameters.
  • Systematic comparison of model predictions with experimental data.

Main Results:

  • Developed analytical equations to understand the influence of optical parameters on image intensity and depth of focus.
  • Quantified the precision and accuracy of LC and SIM in practical reflection imaging scenarios.
  • Provided guidelines for selecting between LC, SIM, and background subtraction for specific samples.

Conclusions:

  • LC and SIM offer viable optical sectioning for reflection imaging, with performance predictable by derived analytical models.
  • The study provides crucial insights for choosing appropriate reflection imaging sectioning techniques.
  • Findings are applicable to reflection interference contrast (RIC) microscopy and potentially other methods like OCT.