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

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...
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by
Same author

Water treatment and artificial intelligence techniques: a systematic literature review research.

Environmental science and pollution research international·2021
Same journal

NanoporeDB: A Structural Resource Of Multimeric Protein Nanopores For Single-Molecule Sensing.

GigaScience·2026
Same journal

From the Brain Cell Atlas to Precision Neurology: A review of the application of AI-driven multi-omics in brain science.

GigaScience·2026
Same journal

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration.

GigaScience·2026
Same journal

ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images.

GigaScience·2026
Same journal

ChatMDV: Reducing Technical Barriers in Bioinformatics Analysis using Large Language Models.

GigaScience·2026
Same journal

ClusterGraph: a new tool for visualisation and compression of multidimensional data.

GigaScience·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface
06:15

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Published on: September 15, 2023

Using image mapping towards biomedical and biological data sharing.

Nurzi Juana Mohd Zaizi1, Dayang Nurfatimah Awang Iskandar

  • 1Department of Computer Science, Heriot-Watt University, Edinburgh, Scotland, EH14 4AS, UK. nz27@hw.ac.uk.

Gigascience
|September 25, 2013
PubMed
Summary
This summary is machine-generated.

Image-based data integration in eHealth and life sciences relies on anatomical space mapping to analyze biomedical data. This review explores image representation, mapping techniques, and associated challenges for diverse data structures.

More Related Videos

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
10:59

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

Hybrid µCT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Related Experiment Videos

Last Updated: May 7, 2026

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface
06:15

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Published on: September 15, 2023

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands
10:59

Reconstruction of 3-Dimensional Histology Volume and its Application to Study Mouse Mammary Glands

Published on: July 26, 2014

Hybrid µCT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Area of Science:

  • eHealth and Life Sciences
  • Biomedical Data Integration
  • Medical Imaging Analysis

Background:

  • Image-based data integration is crucial for managing and analyzing large biomedical datasets.
  • Anatomical space mapping is a key method for retrieving, comparing, and analyzing this data.
  • Matching corresponding spatial regions between images ensures consistent data interpretation.

Purpose of the Study:

  • To discuss issues related to data integration of various information structures.
  • To review exemplary work on image representation and mapping techniques.
  • To identify and discuss challenges in current image-based data integration methods.

Main Methods:

  • Review of existing literature on image representation and anatomical space mapping.
  • Analysis of techniques for matching spatial regions between source and target images.
  • Discussion of data integration strategies for diverse information structures.

Main Results:

  • Identified common approaches and challenges in anatomical space mapping for eHealth.
  • Highlighted the utility of image-based integration for heterogeneous biomedical data.
  • Provided a review of exemplary image representation and mapping methodologies.

Conclusions:

  • Anatomical space mapping is fundamental for effective image-based data integration in life sciences.
  • Further research is needed to address the challenges posed by diverse data structures and mapping techniques.
  • Optimized image integration methods will enhance the analysis of complex biomedical information.