Jove
Visualize
Contact Us

Related Concept Videos

Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

224
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...
224
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

297
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...
297
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

13.6K
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,...
13.6K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

5.0K
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...
5.0K

You might also read

Related Articles

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

Sort by
Same author

Prediction of Microstructural Representativity From A Single Image.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Thermal stability and coalescence dynamics of exsolved metal nanoparticles at charged perovskite surfaces.

Nature communications·2024
Same author

Double perovskite cathodes for proton-conducting ceramic fuel cells: are they triple mixed ionic electronic conductors?

Science and technology of advanced materials·2018
Same author

Back-exchange: a novel approach to quantifying oxygen diffusion and surface exchange in ambient atmospheres.

Physical chemistry chemical physics : PCCP·2017
Same journal

High-resolution thermal infrared dataset for airborne person detection in SAR missions.

Scientific data·2026
Same journal

USV-derived bathymetry of high-risk glacial lakes and a critical semi-arid ecosystem lake in the Himalaya.

Scientific data·2026
Same journal

A large-scale, LLM-assisted and validated dataset of biomass and waste conversion technologies and feedstocks.

Scientific data·2026
Same journal

Near-complete telomere-to-telomere genome assembly of a male barbel steed (Hemibarbus labeo).

Scientific data·2026
Same journal

A near telomere-to-telomere genome assembly of Rhodiola macrocarpa (Crassulaceae).

Scientific data·2026
Same journal

SowPostureDS: A Multi-Class Image Dataset for YOLO-Based Detection of Sow Postures in diverse Farrowing Systems.

Scientific data·2026
See all related articles
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 Experiment Video

Updated: Aug 24, 2025

Micro 3D Printing Using a Digital Projector and its Application in the Study of Soft Materials Mechanics
09:24

Micro 3D Printing Using a Digital Projector and its Application in the Study of Soft Materials Mechanics

Published on: November 27, 2012

25.5K

MicroLib: A library of 3D microstructures generated from 2D micrographs using SliceGAN.

Steve Kench1, Isaac Squires2, Amir Dahari2

  • 1Dyson School of Design Engineering, Imperial College London, London, SW7 2DB, UK. sk3619@ic.ac.uk.

Scientific Data
|October 22, 2022
PubMed
Summary
This summary is machine-generated.

A new machine learning method, SliceGAN, generates 3D microstructural datasets from single 2D images. This approach accurately recreates microstructural properties for materials modeling, offering a valuable resource for scientific research.

More Related Videos

Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells
15:41

Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells

Published on: December 2, 2010

17.5K
Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
10:53

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

Published on: January 3, 2017

10.0K

Related Experiment Videos

Last Updated: Aug 24, 2025

Micro 3D Printing Using a Digital Projector and its Application in the Study of Soft Materials Mechanics
09:24

Micro 3D Printing Using a Digital Projector and its Application in the Study of Soft Materials Mechanics

Published on: November 27, 2012

25.5K
Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells
15:41

Improved Visualization and Quantitative Analysis of Drug Effects Using Micropatterned Cells

Published on: December 2, 2010

17.5K
Image-guided, Laser-based Fabrication of Vascular-derived Microfluidic Networks
10:53

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

Published on: January 3, 2017

10.0K

Area of Science:

  • Materials Science
  • Computational Modeling
  • Machine Learning

Background:

  • 3D microstructural datasets are crucial for finite element modeling of material behavior.
  • Challenges in 3D imaging include limited field of view, low resolution, and complex sample preparation.

Purpose of the Study:

  • To apply the machine learning method SliceGAN to generate 3D microstructural datasets.
  • To assess the accuracy of SliceGAN-generated volumes by comparing microstructural properties with original data.

Main Methods:

  • SliceGAN was trained on single 2D microstructural slices.
  • Generated 3D microstructures were statistically analyzed and compared to original 2D data.
  • The method was tested on 87 diverse microstructures, including biological materials and steels.

Main Results:

  • SliceGAN successfully generated statistically accurate 3D microstructural datasets from 2D slices.
  • Comparisons of key microstructural properties showed good agreement between generated 3D volumes and original data.
  • The algorithm demonstrated broad applicability across various material types.

Conclusions:

  • SliceGAN provides a powerful tool for creating large, statistically relevant 3D microstructural libraries.
  • This method overcomes limitations of traditional 3D imaging techniques.
  • The generated datasets are valuable for finite element modeling and understanding material behavior.