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Interference filter calibration for vision research

J D Moreland1

  • 1Department of Communication and Neuroscience, Keele University, Staffordshire, UK. coa09@keele.ac.uk

Vision Research
|January 20, 1999
PubMed
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A new function accurately predicts radiant flux (F) for bandpass interference filters, crucial for psychophysical research. This method improves upon traditional calculations, offering a rapid calibration tool for filter performance.

Area of Science:

  • Optical Engineering
  • Photometry
  • Vision Science

Background:

  • Radiant flux (F) of bandpass interference filters is often approximated by peak transmittance (tp) and half-height bandwidth (Wh).
  • This approximation's accuracy varies across different filter designs and collections.
  • Accurate characterization of filter transmission is vital for psychophysical research.

Purpose of the Study:

  • To evaluate the accuracy of the traditional radiant flux approximation.
  • To develop a more precise method for predicting radiant flux transmitted by bandpass interference filters.
  • To provide a rapid calibration function for psychophysical applications.

Main Methods:

  • Analyzed 297 bandpass interference filters of 1-, 2-, and 3-cavity designs from six vision laboratories.

Related Experiment Videos

  • Compared traditional radiant flux prediction (tp * Wh) with actual measurements.
  • Developed and validated a new predictive function incorporating Wh, a secondary bandwidth (Wi), and a lower transmittance (t).

    • Main Results:

    • The traditional approximation (tp * Wh) was found to be inaccurate for many filters.
    • The newly developed function predicts radiant flux (F) with ample precision (+/- 5%) for most psychophysical research.
    • The study also discusses bandwidth errors and luminous blocking efficacy of multi-cavity filters.

    Conclusions:

    • A simple, novel function offers a rapid and accurate method for calibrating bandpass interference filters.
    • This improved prediction method is suitable for diverse psychophysical research needs.
    • Understanding bandwidth errors in multi-cavity filters enhances their application in vision science.