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

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

12.2K
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...
12.2K
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

1.9K
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...
1.9K
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

1.0K
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...
1.0K
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

15.2K
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...
15.2K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

22.0K
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,...
22.0K

You might also read

Related Articles

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

Sort by
Same author

Molecular adhesion assay for biopolymer systems.

The Review of scientific instruments·2026
Same author

Effects of Cocamidopropyl Betaine on In Vitro Rumen Fermentation and Enzyme Spatial Distribution, and In Vivo Digestibility and Growth Performance of Growing Yaks.

Animals : an open access journal from MDPI·2026
Same author

Altered serum short-chain fatty acids in sarcopenia among Chinese elderly women: a case-control study.

BMC geriatrics·2025
Same author

Gender differences in interpersonal emotion regulation: A hyperscanning study of neural and behavioral synchrony.

NeuroImage·2025
Same author

Scalable medication extraction and discontinuation identification from electronic health records using large language models.

Journal of clinical epidemiology·2025
Same author

The distribution of the frailty index among different arthritis patients and the association between the frailty index and mortality in rheumatoid arthritis patients among U.S. adults (results from NHANES 1999-2018).

Aging clinical and experimental research·2025

Related Experiment Video

Updated: Apr 1, 2026

Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

1.5K

Analysis-preserving video microscopy compression via correlation and mathematical morphology.

Chong Shao1, Alfred Zhong1, Jeremy Cribb2

  • 1Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Microscopy Research and Technique
|October 6, 2015
PubMed
Summary

A new microscopy video compression method, using Pearson

Keywords:
biomedical image processingdata compressionimage analysis

More Related Videos

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

14.6K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K

Related Experiment Videos

Last Updated: Apr 1, 2026

Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

1.5K
Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions
13:43

Correlative Microscopy for 3D Structural Analysis of Dynamic Interactions

Published on: June 24, 2013

14.6K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.7K

Area of Science:

  • Scientific Imaging
  • Biotechnology
  • Data Science

Background:

  • High-resolution microscopy generates vast video data, necessitating efficient compression.
  • Existing compression methods may not be optimized for the unique characteristics of microscopy videos.

Purpose of the Study:

  • To develop and evaluate a novel, high-performance video compression technique specifically for microscopy data.
  • To compare the proposed method against established lossless and lossy compression algorithms.

Main Methods:

  • The novel method utilizes Pearson's correlation and mathematical morphology.
  • It incorporates the point-spread function (PSF) from the microscopy acquisition phase.
  • Performance was evaluated on fluorescence and brightfield microscopy videos.

Main Results:

  • The new method achieved significant compression, reducing data size to 0.77% of original in best cases.
  • This represents a 25x improvement over the best-performing lossless technique (20% of original size).
  • Compression effectiveness correlates with the video's scientific data content.
  • Lossy algorithms (JPEG, JPEG2000, H.264) negatively impacted data analysis at comparable compression ratios.

Conclusions:

  • The proposed compression method offers superior performance for microscopy video data compared to existing lossless techniques.
  • It provides substantial data reduction without compromising downstream scientific analysis.
  • This technique is a valuable tool for managing large microscopy datasets.