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Published on: June 18, 2021
A hyperspectral open-source imager (HOSI).
1Centre for Ecology & Conservation, University of Exeter, Penryn, UK. jt@jolyon.co.uk.
A new hyperspectral open-source imager (HOSI) offers a low-cost solution for measuring light environments. This portable device is sensitive to low light levels and captures detailed spectral and spatial data, crucial for understanding artificial light at night (ALAN) impacts.
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Area of Science:
- Optical physics and remote sensing
- Ecology and animal behavior
- Environmental science
Background:
- Light's spatial and spectral properties are vital for animal behavior, ecology, and evolution.
- Quantifying light is essential across diverse fields like agriculture, psychophysics, and materials science.
- Artificial light at night (ALAN) poses challenges for measuring light pollution's visual impact, requiring sensitive, wide-ranging measurements.
Purpose of the Study:
- To develop an innovative, low-cost, and portable hyperspectral imager.
- To meet the demanding requirements for measuring artificial light at night (ALAN).
- To provide a tool for research in light pollution and its ecological effects.
Main Methods:
- Utilized a Hamamatsu C12880MA micro spectrometer for single-point measurements.
- Integrated a motorized gimbal for precise spatial control.
- Employed off-the-shelf components and 3D printing for cost-effectiveness (approx. £350).
Main Results:
- Developed a hyperspectral open-source imager (HOSI) capable of full-field hyperspectral data collection.
- Achieved sensitivity to low light levels (~0.001 cd.m⁻²), covering 320-880 nm with ~9 nm spectral resolution.
- Captured panoramic hyperspectral images with high dynamic range (>50,000:1) and spatial resolution (~2 cycles/degree).
Conclusions:
- The HOSI system is adaptable, cost-effective, and open-source.
- It serves as a valuable tool for studying light, environment, behavior, ecology, and biodiversity.
- Potential applications extend to various other scientific and industrial fields.

