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 Experiment Videos

Video camera calibration for optical densitometry

R A Baldock1, I Poole

  • 1MRC Human Genetics Unit, Edinburgh, U.K.

Journal of Microscopy
|October 1, 1993
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Effect of elevated CO<sub>2</sub> on the stomatal distribution and leaf physiology of Alnus glutinosa.

The New phytologist·2021
Same author

Multi-compartment heart segmentation in CT angiography using a spatially varying gaussian classifier.

International journal of computer assisted radiology and surgery·2012
Same author

Glutoxylon Chowdhury (Anacardiaceae): the first record of fossil wood from Bangladesh.

Review of palaeobotany and palynology·2001
Same author

Three-dimensional reconstruction of tetraploid<-->diploid chimaeric mouse blastocysts.

Journal of anatomy·2000
Same author

A three-dimensional model of the mouse at embryonic day 9.

Developmental biology·2000
Same author

Evidence for demethylation of syringyl moieties in archaeological wood using pyrolysis-gas chromatography/mass spectrometry.

Rapid communications in mass spectrometry : RCM·2000
Same journal

BioImageIT: A novel python-based architecture for reproducible bio-image workflows.

Journal of microscopy·2026
Same journal

In operando imaging of the space-charge region in a 4H-SiC MOSCAP using STEM-EBIC.

Journal of microscopy·2026
Same journal

The future of DXA: How AI is transforming bone health diagnostics.

Journal of microscopy·2026
Same journal

The Origins of Ploem's Filter Cube: A Pandora's Box.

Journal of microscopy·2026
Same journal

The reproducibility gap in graph neural network workflows for cell dynamics: A checklist-driven case study.

Journal of microscopy·2026
Same journal

Assessing the reproducibility of a bioimage analysis workflow characterising tissue flow in Drosophila.

Journal of microscopy·2026
See all related articles

A new method calibrates video cameras for accurate optical density (OD) measurements from microscopy. This technique corrects for uneven lighting and camera response, using just one filter.

Area of Science:

  • Microscopy and Imaging
  • Biophotonics
  • Image Analysis

Background:

  • Accurate quantification of optical density (OD) from microscopic images is crucial for biological and material science applications.
  • Existing camera calibration methods often assume linear camera response or require complex multi-filter setups.
  • Variations in illumination intensity across the field of view can introduce significant errors in OD measurements.

Purpose of the Study:

  • To develop an efficient and robust technique for calibrating video cameras used in microscopic imaging for optical density (OD) measurements.
  • To address the challenges of non-linear camera response and non-uniform illumination in quantitative microscopy.
  • To provide a simplified calibration protocol requiring minimal equipment.

Main Methods:

Related Experiment Videos

  • The described technique calibrates video cameras for optical density (OD) measurements from microscopic images.
  • It corrects for variations in brightfield and darkfield illumination intensities across the entire field of view.
  • The method does not assume a linear response of the camera sensor to incident light intensity and utilizes a single calibration filter.

Main Results:

  • The novel calibration technique effectively corrects for spatial variations in illumination.
  • It accurately quantifies optical density (OD) even with non-linear camera responses.
  • The use of a single calibration filter simplifies the experimental procedure.

Conclusions:

  • This efficient calibration technique enhances the accuracy and reliability of optical density (OD) measurements in microscopy.
  • The method is broadly applicable to various microscopy setups and camera systems.
  • It offers a practical solution for quantitative imaging, reducing potential errors from illumination and camera non-linearity.