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

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

3.0K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
3.0K
Scanning Electron Microscopy01:07

Scanning Electron Microscopy

5.7K
A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...
5.7K
Preparation of Samples for Electron Microscopy01:20

Preparation of Samples for Electron Microscopy

7.4K
To be visualized by an electron microscope, either transmission or scanning, biological samples need to be fixed (stabilized) so the electron beam does not destroy them and dried thoroughly (desiccated/dehydrated) so the vacuum does not affect them. Fixation needs to be done as quickly as possible because the sample properties will start changing as soon as it is removed from its natural environment. For example, in a tissue sample, the oxygen levels begin decreasing, causing an altered...
7.4K

You might also read

Related Articles

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

Sort by
Same author

Metrology for the next generation of semiconductor devices.

Nature electronics·2019
Same author

Electron beam-based metrology after CMOS.

APL materials·2019
Same author

Scanning electron microscope measurement of width and shape of 10nm patterned lines using a JMONSEL-modeled library.

Ultramicroscopy·2015
Same author

New insights into subsurface imaging of carbon nanotubes in polymer composites via scanning electron microscopy.

Nanotechnology·2015
Same author

Modeling the point-spread function in helium-ion lithography.

Scanning·2011
Same author

Blind estimation of general tip shape in AFM imaging.

Ultramicroscopy·2008

Related Experiment Video

Updated: Feb 26, 2026

Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM
10:06

Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM

Published on: July 10, 2014

15.6K

Virtual rough samples to test 3D nanometer-scale scanning electron microscopy stereo photogrammetry.

J S Villarrubia1, V N Tondare1, A E Vladár1

  • 1Engineering Physics Division, Physical Measurements Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA 20899.

Proceedings of Spie--The International Society for Optical Engineering
|July 25, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a virtual sample method to test 3D photogrammetry software for nanometer-scale dimensional metrology. Two of three tested software packages accurately reconstructed line height and width within 1 nm of true values.

Keywords:
critical dimension (CD)dimensional metrologymodel-based metrologyscanning electron microscopy (SEM)simulationstereo photogrammetrysurface roughnessvirtual sample

More Related Videos

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

10.3K
Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

5.5K

Related Experiment Videos

Last Updated: Feb 26, 2026

Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM
10:06

Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM

Published on: July 10, 2014

15.6K
3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

10.3K
Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

5.5K

Area of Science:

  • Materials Science
  • Metrology
  • Computer Vision

Background:

  • 3D photogrammetry offers potential for nanometer-scale dimensional metrology.
  • Evaluating the accuracy of 3D reconstruction software is crucial for reliable measurements.

Purpose of the Study:

  • To develop and validate a method for testing 3D photogrammetry software using virtual samples.
  • To assess the performance of commercial 3D photogrammetry packages for nanometer-scale metrology.

Main Methods:

  • A virtual sample with a defined geometry and surface roughness was created.
  • Simulated images from multiple viewpoints were generated for input into photogrammetry software.
  • Reconstructed 3D models were compared against the known virtual sample geometry.

Main Results:

  • Two out of three commercial photogrammetry software packages achieved line height and width accuracy within approximately 1 nm.
  • All tested software packages encountered challenges in accurately reconstructing surface roughness details.

Conclusions:

  • Virtual samples provide a reliable method for evaluating 3D photogrammetry software accuracy.
  • Current commercial software shows promise for dimensional metrology but requires improvement for surface roughness analysis.