School of Life Sciences, University of Sussex, Sussex, United Kingdom.
Institute of Ophthalmic Research, University of Tübingen, Tübingen, Germany.
Sci Rep. 2019 Jul 25;9(1):10799. doi: 10.1038/s41598-019-47220-6.
Hyperspectral imaging is a widely used technology for industrial and scientific purposes, but the high cost and large size of commercial setups have made them impractical for most basic research. Here, we designed and implemented a fully open source and low-cost hyperspectral scanner based on a commercial spectrometer coupled to custom optical, mechanical and electronic components. We demonstrate our scanner's utility for natural imaging in both terrestrial and underwater environments. Our design provides sub-nm spectral resolution between 350-950 nm, including the UV part of the light spectrum which has been mostly absent from commercial solutions and previous natural imaging studies. By comparing the full light spectra from natural scenes to the spectral sensitivity of animals, we show how our system can be used to identify subtle variations in chromatic details detectable by different species. In addition, we have created an open access database for hyperspectral datasets collected from natural scenes in the UK and India. Together with comprehensive online build- and use-instructions, our setup provides an inexpensive and customisable solution to gather and share hyperspectral imaging data.
高光谱成像是一种广泛应用于工业和科学领域的技术，但商业设备的高成本和大尺寸使得它们在大多数基础研究中不切实际。在这里，我们设计并实现了一种完全基于商业光谱仪的开源和低成本高光谱扫描仪，该光谱仪与定制的光学、机械和电子组件相结合。我们展示了我们的扫描仪在陆地和水下环境中的自然成像的实用性。我们的设计提供了 350-950nm 之间的亚纳米光谱分辨率，包括商业解决方案和以前的自然成像研究中大部分缺失的光光谱的紫外线部分。通过将自然场景的全光谱与动物的光谱灵敏度进行比较，我们展示了我们的系统如何用于识别不同物种可检测的颜色细节的细微变化。此外，我们还创建了一个来自英国和印度自然场景的高光谱数据集的开放获取数据库。我们的设置与全面的在线构建和使用说明一起，为收集和共享高光谱成像数据提供了一种廉价且可定制的解决方案。
