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Related Concept Videos

Fixation and Sectioning01:03

Fixation and Sectioning

Two basic types of preparation are used to visualize specimens with a light microscope: wet mounts and fixed specimens.
The simplest type of preparation is the wet mount, in which the specimen is placed in a drop of liquid on the slide. A liquid specimen can be directly deposited on the slide using a dropper. Solid specimens, such as skin scraping, can be placed on the slide before adding a drop of liquid to prepare the wet mount. Sometimes the liquid is simply water, but stains are often added...
Preparation of Samples for Electron Microscopy01:20

Preparation of Samples for Electron Microscopy

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...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

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...

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Updated: Jun 21, 2026

Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing
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Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing

Published on: February 9, 2022

Preparing images for publication: part 1.

Alessandro Devigus1, Stefan Paul

  • 1devigus@dentist.ch

The European Journal of Esthetic Dentistry : Official Journal of the European Academy of Esthetic Dentistry
|August 7, 2009
PubMed
Summary
This summary is machine-generated.

Achieving accurate color reproduction in digital clinical photography is crucial. Simple techniques like monitor calibration and using a gray card can significantly improve image consistency for publications.

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Published on: September 22, 2023

Area of Science:

  • Medical Photography
  • Digital Imaging
  • Color Science

Background:

  • Accurate color reproduction is critical in clinical and scientific publications.
  • The shift from film to digital imaging has introduced new challenges in color fidelity.
  • Understanding the principles of light and human vision is fundamental to color reproduction.

Purpose of the Study:

  • To address the challenges of color reproduction in digital clinical photography.
  • To provide practical solutions for optimizing color output in medical imaging workflows.
  • To educate photographers on essential digital equipment settings and color management.

Main Methods:

  • Discusses the physics of color perception, including light wavelengths and pigment behavior.
  • Highlights the limitations of digital displays and printers in reproducing the full spectrum of visible color (LAB color space).
  • Introduces color management solutions and practical techniques for consistent color reproduction.

Main Results:

  • Color management integration in medical photography workflows is currently limited.
  • Monitor calibration and the use of an 18% gray background card are effective methods for consistent color.
  • Basic camera setting information is provided to aid in the use of digital equipment.

Conclusions:

  • Consistent color reproduction in digital clinical images requires integrated color management.
  • Simple, accessible methods like monitor calibration and gray cards can enhance publication quality.
  • Further adoption of these techniques can improve the reliability of visual data in medical research.