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...
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

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...
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

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,...
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...

You might also read

Related Articles

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

Sort by
Same author

Tobacco smoking is associated with solid growth pattern in primary lung adenocarcinoma.

Discover oncology·2025
Same author

Vasoactive Intestinal Peptide (VIP) in COVID-19 Therapy-Shedding of ACE2 and TMPRSS2 via ADAM10.

International journal of molecular sciences·2025
Same author

Tumor budding - a potential biomarker in low grade salivary gland carcinomas?

Frontiers in oncology·2024
Same author

Low densities of immune cells indicate unfavourable overall survival in patients suffering from squamous cell carcinoma of the lung.

Scientific reports·2024
Same author

ArgoCap - feasibility and safety of a novel over-the-scope device to facilitate endoscopic APC treatment.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy·2023
Same author

[Comparison of four convolutional neural networks for histopathological diagnosis of salivary gland carcinomas].

HNO·2023

Related Experiment Video

Updated: May 15, 2026

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

Quantitative pathology in virtual microscopy: history, applications, perspectives.

Gian Kayser1, Klaus Kayser

  • 1Institute of Pathology, University Hospital Freiburg, Germany. gian.kayser@uniklinik-freiburg.de

Acta Histochemica
|January 15, 2013
PubMed
Summary
This summary is machine-generated.

Morphometric analysis of histological images aids cancer research and diagnostics. Quantitative virtual microscopy offers automated support for histopathology, improving disease understanding and quality assurance.

Area of Science:

  • Digital Pathology
  • Computational Biology
  • Histopathology

Background:

Keywords:
Predictive diagnosisSyntactic structure analysisVirtual microscopyVirtual slides

More Related Videos

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues
07:40

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Published on: May 1, 2019

Generating and Analyzing High-Parameter Histology Images with Histoflow Cytometry
05:22

Generating and Analyzing High-Parameter Histology Images with Histoflow Cytometry

Published on: June 21, 2024

Related Experiment Videos

Last Updated: May 15, 2026

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
08:40

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging

Published on: April 8, 2016

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues
07:40

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues

Published on: May 1, 2019

Generating and Analyzing High-Parameter Histology Images with Histoflow Cytometry
05:22

Generating and Analyzing High-Parameter Histology Images with Histoflow Cytometry

Published on: June 21, 2024

  • Advancements in personal computing and information technology enable sophisticated morphometric analyses of histological images.
  • Morphometrics applied to static images enhance understanding of disease biology, particularly in cancer.
  • Initial applications focused on quantifying immunohistochemical expression patterns.