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

Three-Dimensional Microscopy in Microbiology01:28

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...
Phase Contrast and Differential Interference Contrast Microscopy01:26

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...

You might also read

Related Articles

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

Sort by
Same author

A Wearable Motion Capture Dataset for Gait Analysis Using IMUs and Shank-Mounted Egocentric Cameras.

Scientific data·2026
Same author

Transcriptomic Analysis of Tendon Healing Using an Extracellular Matrix-Coated, Polyurethane Scaffold.

Bioengineering (Basel, Switzerland)·2026
Same author

Revealing potential biomarkers and metabolic mechanisms of ovarian aging in hens during late laying period based on machine learning and metabolomics.

Comparative biochemistry and physiology. Part D, Genomics & proteomics·2026
Same author

Unconventional auricular reconstruction using controlled scaffold buckling and chondrogenic cocktail containing muscle-derived cells.

Bioactive materials·2026
Same author

Immortalized Rat Tendon-Derived Stem Cells for Tendon Tissue Engineering.

Bioengineering (Basel, Switzerland)·2026
Same author

Melanin deposition as a key quality trait in silky fowl: the LINC60/miR-148b-5p/MC1R regulatory axis.

Food chemistry·2026
Same journal

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes.

Information processing in medical imaging : proceedings of the ... conference·2026
Same journal

Cycle-Consistent Zero-Shot Through-Plane Super-Resolution for Anisotropic Head MRI.

Information processing in medical imaging : proceedings of the ... conference·2026
Same journal

Brightness-Invariant Tracking Estimation in Tagged MRI.

Information processing in medical imaging : proceedings of the ... conference·2025
Same journal

Multi-View and Multi-Scale Alignment for Contrastive Language-Image Pre-training in Mammography.

Information processing in medical imaging : proceedings of the ... conference·2025
Same journal

Using Multiple Instance Learning to Build Multimodal Representations.

Information processing in medical imaging : proceedings of the ... conference·2025
Same journal

mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds.

Information processing in medical imaging : proceedings of the ... conference·2024
See all related articles

Related Experiment Video

Updated: May 31, 2026

Conducting Multiple Imaging Modes with One Fluorescence Microscope
08:32

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

Restoring DIC microscopy images from multiple shear directions.

Zhaozheng Yin1, Dai Fei Elmer Ker, Takeo Kanade

  • 1Robotics Institute, Carnegie Mellon University, Pittsburgh, USA.

Information Processing in Medical Imaging : Proceedings of the ... Conference
|July 19, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to quantitatively restore Differential Interference Contrast (DIC) microscopy images. By analyzing multiple shear directions, the technique provides accurate specimen measurements for improved cell segmentation.

More Related Videos

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection
07:42

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Published on: February 24, 2026

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: May 31, 2026

Conducting Multiple Imaging Modes with One Fluorescence Microscope
08:32

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection
07:42

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Published on: February 24, 2026

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:

  • Biophysics
  • Optical Microscopy
  • Image Analysis

Background:

  • Differential Interference Contrast (DIC) microscopy is a widely used, nondestructive imaging technique for live biological specimens.
  • DIC microscopy is qualitative, indirectly mapping specimen's optical path length (OPL) gradient to image intensity.
  • Quantitative analysis of DIC images is limited due to the indirect nature of OPL representation.

Purpose of the Study:

  • To develop a quantitative method for restoring DIC microscopy images.
  • To estimate specimen's OPL directly from multiple DIC images.
  • To enhance the accuracy and utility of DIC microscopy for biological analysis.

Main Methods:

  • Acquiring DIC images from a specimen by rotating the dish on the microscope stage.
  • Employing an Iterative Closest Point algorithm for image registration across multiple shear directions.
  • Utilizing a coarse-to-fine grid search to automatically estimate shear directions.
  • Developing a direct solver for a regularized quadratic cost function to restore OPL.

Main Results:

  • Restored DIC images are directly proportional to specimen's physical measurements.
  • Using multiple shear directions reduces ambiguity inherent in single-direction restorations.
  • The developed method enables quantitative OPL estimation from DIC images.

Conclusions:

  • The proposed method successfully restores DIC microscopy images quantitatively.
  • Quantitative OPL estimation improves the accuracy of microscopy image analysis, including cell segmentation.
  • This technique advances DIC microscopy from a qualitative to a quantitative imaging modality.