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 Experiment Videos

Reconstruction and visualization of planetary nebulae.

Marcus Magnor1, Gordon Kindlmann, Charles Hansen

  • 1MPI Informatik, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany. magnor@mpi-sb.mpg.de

IEEE Transactions on Visualization and Computer Graphics
|September 8, 2005
PubMed
Summary

Astronomers can now determine the 3D shapes of planetary nebulae (PNe) from 2D images using a new technique. This method leverages PNe symmetry to reconstruct their structure and orientation for educational and research purposes.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Designing for Disclosure in Data Visualizations.

IEEE transactions on visualization and computer graphics·2025
Same author

Transcranial ultrasound tomography for brain imaging: Ex vivo results and potential for stroke imaging.

Medical physics·2025
Same author

Playful Learning in Computer Graphics.

IEEE computer graphics and applications·2025
Same author

RadField3D: a data generator and data format for deep learning in radiation-protection dosimetry for medical applications.

Journal of radiological protection : official journal of the Society for Radiological Protection·2025
Same author

Modern hardware accelerated point based holography.

Optics express·2024
Same author

A Review of Three-Dimensional Medical Image Visualization.

Health data science·2024

Area of Science:

  • Astronomy
  • Astrophysics

Background:

  • Determining the 3D structure of distant astronomical objects from 2D images is challenging.
  • Planetary nebulae (PNe) possess inherent symmetry due to physical formation processes.

Purpose of the Study:

  • To develop an automated technique for recovering the axisymmetric 3D structure of planetary nebulae from 2D images.
  • To enable realistic 3D visualizations and provide insights into nebula formation.

Main Methods:

  • Utilizing the symmetry constraints of planetary nebulae.
  • Employing GPU-based volume rendering and nonlinear optimization.
  • Estimating local emission density and nebula orientation by minimizing image differences.

Main Results:

Related Experiment Videos

  • Successfully recovered the axisymmetric structure and orientation of many planetary nebulae.
  • Developed a method to create realistic 3D visualizations from 2D astronomical photographs.
  • The technique allows for detailed spatial distribution analysis of emissive gas.
  • Conclusions:

    • The new technique effectively reconstructs 3D planetary nebula structures from 2D images.
    • The recovered models are valuable for educational tools like planetarium shows.
    • This method offers astrophysicists a new way to study planetary nebula formation.