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

Imaging Biological Samples with Optical Microscopy

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...

Phase Contrast and Differential Interference Contrast Microscopy

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...

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 developed.

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,...

Overview of Microscopy Techniques

Overview of Microscopy Techniques

The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...

Two-Dimensional Microscopy in Microbiology

Two-Dimensional Microscopy in Microbiology

Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...

You might also read

Related Articles

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

Sort by

Same author

Vaccine-expanded plasmablast-like B cells are associated with response to dendritic cell therapy in metastatic melanoma.

Journal of experimental & clinical cancer research : CR·2026

Same author

TiO<sub>2</sub> Aerogel Decorated with Pt Nanoparticles for the Analysis of Hardly Ionizable Metabolites Using Laser Desorption/Ionization Mass Spectrometry.

ACS applied materials & interfaces·2026

Same author

A comprehensive summary of the GISM annual meeting 2025.

Extracellular vesicles and circulating nucleic acids·2025

Same author

HCS-3DX, a next-generation AI-driven automated 3D-oid high-content screening system.

Nature communications·2025

Same author

Assessing metabolic rate and post-tagging recovery in juvenile fish.

Journal of fish biology·2025

Same author

<i>ColorI-DT</i>: An open-source tool for the quantitative evaluation of differences in microscopy color images.

Computational and structural biotechnology journal·2025

Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

See all related articles

Search research articles

Related Experiment Video

Updated: May 25, 2026

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

Vignetting correction by exploiting an optical microscopy image sequence.

Alessandro Bevilacqua¹, Filippo Piccinini, Alessandro Gherardi

¹Department of Electronics, Computer Science and Systems, University of Bologna, Italy. alessandro.bevlacqua@unibo.it

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

Summary

This summary is machine-generated.

This study introduces a new method to correct vignetting in digital images without needing an empty field image. The technique uses a non-parametric model and foreground/background segmentation for real-time correction, achieving comparable results to traditional methods.

More Related Videos

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

Published on: June 23, 2023

Related Experiment Videos

Last Updated: May 25, 2026

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

Published on: June 16, 2020

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

Published on: June 23, 2023

Area of Science:

Digital Imaging
Image Processing
Computational Microscopy

Background:

Vignetting is a common digital imaging artifact, particularly problematic in image stitching for mosaics.
Traditional flat field correction requires an empty field image, which is not always feasible (e.g., real-time or offline acquisitions).
Vignetting can introduce errors in automated image analysis pipelines.

Purpose of the Study:

To develop a novel method for real-time vignetting correction without requiring an empty field image.
To characterize the vignetting function directly from the specimen data.

Main Methods:

A non-parametric model is employed to characterize the vignetting function in real time.
A foreground/background segmentation algorithm is utilized to identify regions free of interest.
The vignetting function is computed on an incrementally built background.

Main Results:

The proposed method successfully corrects vignetting in digital images.
Experimental results using cell cultures and histological samples demonstrate effectiveness.
Performance is comparable to traditional flat field correction methods that use empty field images.

Conclusions:

The novel method provides a viable alternative for vignetting correction when empty field images are unavailable.
Real-time characterization of vignetting from specimen data is achievable.
This approach enhances the reliability of automated image analysis in various imaging scenarios.