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An ipRGC-influenced/Non-Visual Spectral Occupant Model for lighting design, Part 2: Photobiological model implementation.

Lighting research & technology (London, England : 2001)ยท2026
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Updated: Mar 20, 2026

Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
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An ipRGC-influenced/Non-Visual Spectral Occupant Model (iNSOM) for lighting design, Part 1: Light simulation method.

A Alight1, J A Jakubiec1,2

  • 1John H. Daniels Faculty of Architecture, Landscape and Design, University of Toronto, Toronto, ON, Canada.

Lighting Research & Technology (London, England : 2001)
|March 19, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces the intrinsically photosensitive retinal ganglion cell (ipRGC)-influenced Non-Visual Spectral Occupant Model (iNSOM) for light simulation. iNSOM calculates time-series annualized melanopic irradiance from various light sources to assess non-visual light effects.

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Area of Science:

  • Lighting science
  • Human-centric lighting
  • Chronobiology

Background:

  • Non-visual light effects are crucial for human health and well-being.
  • Existing models often lack comprehensive integration of diverse light sources.
  • Intrinsically photosensitive retinal ganglion cells (ipRGCs) play a key role in mediating non-visual responses to light.

Purpose of the Study:

  • To develop and describe a novel light simulation framework, the intrinsically photosensitive retinal ganglion cell (ipRGC)-influenced/Non-Visual Spectral Occupant Model (iNSOM).
  • To integrate multi-spectral lighting simulations, including daylight, electric light, and screen devices, into a unified calculation.
  • To assess the model's applicability in real-world settings like hospital wards.

Main Methods:

  • Development of the iNSOM framework for multi-spectral light simulation.
  • Calculation of time-series annualized melanopic irradiance.
  • Integration of daylight, electric lighting, and screen-emitted light into the model.
  • Application and testing of the model using a hospital ward scenario.

Main Results:

  • The iNSOM framework successfully combines various light sources into annualized melanopic irradiance calculations.
  • Demonstrated the model's capability to simulate complex lighting environments.
  • Validated the model's applicability through testing in a hospital ward under different lighting scenarios.

Conclusions:

  • The developed iNSOM provides a comprehensive method for simulating light exposure relevant to non-visual effects.
  • This model can be a valuable tool for designing healthier lighting environments in various settings.
  • Further research can expand the model's application to different environments and populations.