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

Methods of Obtaining Topography01:25

Methods of Obtaining Topography

464
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
464
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

750
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
750

You might also read

Related Articles

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

Sort by
Same author

Correlated clustering and projection for dimensionality reduction.

Machine learning: science and technology·2026
Same author

Integrating Multi-Environment Phenotypes and Genome-Wide Variation to Evaluate Diversity and Identify Representative Germplasm in Specialty Maize.

Genes·2026
Same author

VARIANT: Web Server for Decoding and Analyzing Viral Mutations at Genome and Protein Levels.

ArXiv·2026
Same author

Manifold topological deep learning for biomedical data.

Nature communications·2026
Same author

A review of recent advances in generative artificial intelligence models for biomolecular sciences.

Acta pharmaceutica Sinica. B·2026
Same author

CAP: Commutative algebra prediction of protein-nucleic acid binding affinities.

Machine learning: science and technology·2026

Related Experiment Video

Updated: Apr 6, 2026

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
08:39

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects

Published on: June 24, 2025

713

Multiresolution Topological Simplification.

Kelin Xia1, Zhixiong Zhao1, Guo-Wei Wei1,2,3

  • 11 Department of Mathematics, Michigan State University , East Lansing, Michigan.

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|July 30, 2015
PubMed
Summary
This summary is machine-generated.

We introduce multiresolution persistent homology to analyze large datasets efficiently. This topological microscopy approach adapts resolution for detailed data insights, overcoming computational limits.

Keywords:
big datamultiresolution topologypersistent homologyrigidity function

More Related Videos

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.3K
Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
09:37

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

9.1K

Related Experiment Videos

Last Updated: Apr 6, 2026

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects
08:39

Longitudinal Micro-Computed Tomography Image Analysis for User-Defined Region of Interest in Critical-Sized Bone Defects

Published on: June 24, 2025

713
Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
11:38

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench

Published on: August 23, 2017

10.3K
Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
09:37

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

9.1K

Area of Science:

  • Computational topology
  • Data analysis
  • Biomolecular structure analysis

Background:

  • Persistent homology simplifies complex data topologically.
  • Current methods are computationally intractable for large datasets.

Purpose of the Study:

  • Introduce multiresolution persistent homology for large-scale data analysis.
  • Develop a topological microscopy technique adaptable to data scale.

Main Methods:

  • Implement a rigidity density-based filtration to adjust resolution.
  • Apply multiresolution persistent homology to analyze complex datasets.

Main Results:

  • Demonstrated computational feasibility for large datasets.
  • Successfully applied to analyze a complex RNA molecule structure.

Conclusions:

  • Multiresolution persistent homology offers an efficient strategy for topological data analysis.
  • The topological microscopy approach provides scalable insights into complex data structures.