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...

You might also read

Related Articles

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

Sort by
Same author

Enhanced Precision of Fluorescence In Situ Hybridization (FISH) Analysis Using Neural Network-Based Nuclear Segmentation for Digital Microscopy Samples.

Sensors (Basel, Switzerland)ยท2026
Same author

Digitally derived Ki-67 proliferation index for GastroEnteroPancreatic neuroendocrine neoplasms.

Pathology oncology research : PORยท2026
Same author

Modulation of Peripheral Immune Cells Following Vitamin D<sub>3</sub> Supplementation in Vitamin D-Insufficient Cancer Patients.

Nutrientsยท2026
Same author

Mapping Manual Laboratory Tasks to Robot Movements in Digital Pathology Workflow.

Sensors (Basel, Switzerland)ยท2025
Same author

Corrigendum to "Impact of montmorillonite reinforcement on the physical recyclability of biobased and petroleum-based polyesters" [Volume 11, Issue 6, 20 March 2025, e43022.DOI: 10.1016/j.heliyon.2025.e43022].

Heliyonยท2025
Same author

Circulating tumor cells: indicators of cancer progression, plasticity and utility for therapies.

Pathology oncology research : PORยท2025
Same journal

Tracking Synthetic Adhesins on Bacterial Surfaces with Immunofluorescence Microscopy.

Methods in molecular biology (Clifton, N.J.)ยท2026
Same journal

Post-Selection Methods for Analyzing mRNA Display Selections and Optimization of Hits.

Methods in molecular biology (Clifton, N.J.)ยท2026
Same journal

High-Performance Computing in Tandem Mass Spectrometry (MS/MS) Peptide Identification.

Methods in molecular biology (Clifton, N.J.)ยท2026
Same journal

Engineering and Adapting Disulfide-Containing Proteins to Enable Intracellular Functionality.

Methods in molecular biology (Clifton, N.J.)ยท2026
Same journal

AI-Driven Protein Research: From Prediction to Design.

Methods in molecular biology (Clifton, N.J.)ยท2026
Same journal

Methods for the In Vitro Selection of Protein and Peptide Libraries Using mRNA Display.

Methods in molecular biology (Clifton, N.J.)ยท2026
See all related articles

Related Experiment Video

Updated: Jun 10, 2026

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies
09:32

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

Published on: September 23, 2014

Digital microscopy for boosting database integration and analysis in TMA studies.

Tibor Krenacs1, Levente Ficsor, Sebestyen Viktor Varga

  • 1Department of Pathology and Experimental Cancer Research, Budapest, Hungary. krenacst@gmail.com

Methods in Molecular Biology (Clifton, N.J.)
|August 7, 2010
PubMed
Summary
This summary is machine-generated.

Digital slides revolutionize tissue microarray (TMA) projects by enabling dynamic data analysis and high-throughput biomarker testing. This integration enhances tumor progression, drug discovery, and targeted therapy research.

More Related Videos

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Related Experiment Videos

Last Updated: Jun 10, 2026

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies
09:32

A Next-generation Tissue Microarray (ngTMA) Protocol for Biomarker Studies

Published on: September 23, 2014

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

Area of Science:

  • Digital pathology
  • Biomedical imaging
  • Bioinformatics

Background:

  • Tissue microarray (TMA) projects generate vast amounts of clinical, pathological, and staining data.
  • Integrating this data into database systems is crucial for comprehensive analysis.
  • Traditional methods face challenges in managing and correlating large datasets.

Purpose of the Study:

  • To demonstrate the workflow and advantages of digital TMA projects.
  • To highlight the integration of digital slides into TMA database systems.
  • To showcase the MIRAX system by 3DHISTECH and Zeiss as a solution.

Main Methods:

  • Utilizing advanced slide scanners for transmitted light and fluorescent imaging.
  • Employing computer-driven integrated systems for TMA creation and slide digitalization.
  • Leveraging digital slide features for image segmentation, automated quantification, and batch processing.

Main Results:

  • Digital slides provide dynamic access to microscopic information at any magnification.
  • Features include easy navigation, annotation, measurement, and archiving.
  • Automated object quantification is enabled through digital signal processing and image segmentation.

Conclusions:

  • Digital slides significantly enhance TMA database management systems.
  • They offer superior imaging features and batch processing capabilities compared to still images.
  • This technology is essential for high-throughput biomarker testing in areas like tumor progression, drug discovery, and targeted therapy research.