Summary
This paper (despite an abstract mismatch suggesting a fNIRS paper was accidentally attached) describes open-source Python tools for processing and analyzing personal light exposure data, enabling more standardized and reproducible circadian light research. Practical applications include quantifying individual light dose metrics such as melanopic EDI, supporting better lighting design informed by real-world exposure patterns.
Categories
Sleep & Circadian Health: Open-source Python routines for analyzing personalized light exposure data are directly relevant to circadian rhythm research and light dosimetry.
The Science of Light: The toolset supports analysis of melanopic and spectral light exposure metrics relevant to circadian lighting standards and photoreceptor biology.
Author(s)
K Wulff, DJ Skene, M Münch, M Spitschan, G Hammad
Publication Year
2023
Related Publications
Sleep & Circadian Health
- Phototransduction by retinal ganglion cells that set the circadian clock
- The mammalian circadian timing system: organization and coordination of central and peripheral clocks
- The two‐process model of sleep regulation: a reappraisal
- Melanopsin is required for non-image-forming photic responses in blind mice
- Strange vision: ganglion cells as circadian photoreceptors
The Science of Light
- Phototransduction by retinal ganglion cells that set the circadian clock
- Color appearance models
- The mammalian circadian timing system: organization and coordination of central and peripheral clocks
- Diminished pupillary light reflex at high irradiances in melanopsin-knockout mice
- Melanopsin is required for non-image-forming photic responses in blind mice