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Spectral imaging microscopy web sites and data.

George McNamara1, Amit Gupta, James Reynaert

  • 1Division of Cancer Immunotherapeutics and Tumor Immunology, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, USA. gmcnamara@coh.org

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|September 14, 2006
PubMed
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Spectral imaging data is now more accessible online, facilitating reproducible research. Key spectral graphs and data are available through various commercial and academic websites for spectral unmixing and component recognition.

Area of Science:

  • Spectral imaging
  • Biomedical optics
  • Data science

Background:

  • The internet has significantly increased access to spectral imaging resources.
  • Reproducible spectral data is essential for spectral unmixing and component recognition algorithms.
  • Availability of spectral graphs and data aids in system selection and interpretation.

Purpose of the Study:

  • To highlight the growing accessibility of spectral imaging data online.
  • To review various commercial and academic resources for spectral graphs and data.
  • To emphasize the importance of freely accessible scientific data.

Main Methods:

  • Review of commercial spectral imaging data websites (e.g., Invitrogen, BD Biosciences, Zeiss).
  • Discussion of academic spectral data repositories (e.g., PhotoChemCAD 2.0, USC-A Chemistry UV-vis Database).

Related Experiment Videos

  • Introduction of custom spectral graphing and data sites (Fluorescent Spectra, PubSpectra).

    • Main Results:

    • Numerous commercial and academic websites offer spectral graphs and downloadable data.
    • Specific examples include fluorescent dye spectra, filter sets, and objective lens transmission curves.
    • Custom sites like PubSpectra provide extensive biomedical spectra in a standardized format.

    Conclusions:

    • Freely accessible scientific data, unhindered by copyright, is crucial for advancing spectral imaging research.
    • Online repositories are vital for researchers to access, utilize, and interpret spectral data.
    • Standardized data formats enhance human and machine readability for broader application.