Search research articles

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...

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.

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...

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,...

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...

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...

You might also read

Related Articles

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

Sort by

Same author

EEG-based harmful brain activity classification using deep learning and feature fusion.

Scientific reports·2026

Same author

A robust deep learning approach for impulse noise filtering using hybrid auto-encoder with fuzzy median filter.

PloS one·2026

Same author

Ensemble Deep Learning-Based High-Precision Framework for Breast Cancer Detection from Histopathological Images.

Diagnostics (Basel, Switzerland)·2026

Same author

Unveiling the black box: Explainable transfer learning for ocular disorder diagnosis.

Digital health·2026

Same author

Gender-based Alzheimer's detection using ResNet-50 and binary dragonfly algorithm on neuroimaging.

Frontiers in artificial intelligence·2025

Same author

ECG-Mamba: Cardiac Abnormality Classification With Non-Uniform-Mix Augmentation on 12-Lead ECGs.

IEEE journal of translational engineering in health and medicine·2025

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

Search research articles

Related Experiment Video

Updated: May 17, 2026

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

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

Published on: April 7, 2014

Unorthodox approach toward microscopic shape from image focus using optical microscopy.

Husna Mutahira, Mannan Saeed Muhammad, Arfan Jaffar

Microscopy Research and Technique

|October 17, 2012

Summary

This summary is machine-generated.

This study introduces an improved Shape from Focus (SFF) method for 3D reconstruction of microscopic objects. The novel approach effectively recovers shapes of weakly textured surfaces, overcoming limitations of conventional techniques.

More Related Videos

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Published on: October 29, 2019

Related Experiment Videos

Last Updated: May 17, 2026

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

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

Published on: April 7, 2014

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization

Published on: October 29, 2019

Area of Science:

Microscopy and Imaging Science
Computer Vision and Image Processing
3D Reconstruction Technologies

Background:

Optical microscopes have a shallow depth-of-field, limiting the focus on large 3D objects.
Conventional Shape from Focus (SFF) methods struggle with weakly textured surfaces due to reliance on focus measure maximization.
Existing SFF techniques often fail to accurately reconstruct the shapes of microscopic objects with limited texture.

Discussion:

The proposed SFF approach deviates from conventional methods by computing depth along object edges and their neighbors.
This unorthodox strategy addresses the limitations of texture-dependent focus measures in SFF.
The method incorporates surface interpolation to fill gaps in the depth map, enhancing reconstruction accuracy.

Key Insights:

A novel Shape from Focus (SFF) technique is presented for 3D shape reconstruction.
The method successfully reconstructs shapes of microscopic objects, even those with weak textures.
This advancement improves the capability of optical microscopy for detailed 3D analysis.

Outlook:

Potential for broader application in materials science, biology, and nanotechnology where detailed 3D surface analysis is crucial.
Further research could explore integrating this method with other advanced imaging techniques for enhanced resolution and accuracy.
The developed SFF approach offers a more robust solution for 3D shape recovery in challenging microscopic imaging scenarios.