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

Quantitative spectrally resolved imaging through a spectrograph.

René A L Tolboom1, Nico J Dam, Nanna M Sijtsema

  • 1Applied Physics Group, University of Nijmegen, Toernooiveld 1, NL-6525 ED Nijmegen, The Netherlands.

Optics Letters
|November 1, 2003
PubMed
Summary
This summary is machine-generated.

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

An evaluation of uncertainty quantification methods and measures for deep learning outcome prediction models in head and neck cancer radiotherapy.

Physics and imaging in radiation oncology·2026
Same author

Dosimetric comparison of the shoulder region between paired photon and proton plans in breast cancer patients.

Technical innovations & patient support in radiation oncology·2026
Same author

Prediction of treatment outcome in nasopharyngeal carcinoma patients.

BMC cancer·2026
Same author

Surface imaging to evaluate the dosimetric impact of breast deformations in proton and photon therapy for breast cancer.

Physics in medicine and biology·2025
Same author

"AI tumor delineation for all breathing phases in early-stage NSCLC".

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2025
Same author

MRI-Based Head and Neck Tumor Segmentation Using nnU-Net with 15-Fold Cross-Validation Ensemble.

Head and Neck Tumor Segmentation for MR-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, proceedings·2025

A new deconvolution filter reconstructs spatial images from spectrograph data. This method enhances Raman imaging by combining O2 and N2 bands for relative air density maps.

Area of Science:

  • Optical Engineering
  • Spectroscopy
  • Image Processing

Background:

  • Grating spectrographs enable spectrally selective 2D imaging with broad slits.
  • The output is a 1D convolution of spatial and spectral light distributions.
  • Raman imaging captures density maps convolved with spectral information, acting as a blurring function.

Purpose of the Study:

  • To develop a deconvolution filter for reconstructing spatial images from spectrograph data.
  • To apply this algorithm to Raman imaging of an underexpanded dry air jet.
  • To combine spectral information from O2 and N2 Raman bands into a single relative air density image.

Main Methods:

  • Utilizing a grating spectrograph with a broad entrance slit.
  • Developing and applying a dedicated deconvolution filter algorithm.

Related Experiment Videos

  • Recording and processing individual Raman images from O2 and N2 bands.

    • Main Results:

    • Successfully reconstructed spatial images from spectrograph output.
    • Demonstrated the algorithm's effectiveness on Raman imaging of a dry air jet.
    • Generated a single image of relative air density by combining O2 and N2 band data.

    Conclusions:

    • The deconvolution filter effectively reconstructs spatial information from spectrograph data.
    • This approach enhances Raman imaging capabilities for density mapping.
    • Combining spectral bands provides a more comprehensive relative air density image.