反射光构成了我们对世界的视觉感知的核心。我们可以通过检查生物表面的反射光来获得大量信息,包括颜料组成和分布,组织结构,和表面微观结构。然而,由于我们视觉系统的局限性,反射光中的完整信息,我们称之为“反思”,“不能被充分利用。例如,我们可能会错过可见光波长之外的反射光信息。此外,与昆虫不同,我们对光偏振几乎没有敏感性。只有使用适当的设备,我们才能检测到潜伏在反射光中的非彩色信息。尽管以前的研究已经设计和开发了支持我们视觉系统的专用系统,我们仍然没有一个多才多艺的,快速,方便,和负担得起的系统,用于分析生物表面反射的广泛方面。为了克服这种情况,我们开发了P-MIRU,一种新颖的多光谱和偏振成像系统,用于反射生物表面的光。P-MIRU的硬件和软件是开源和可定制的,因此几乎可以应用于任何生物表面研究。此外,P-MIRU是没有专业编程或工程知识的生物学家的用户友好系统。P-MIRU成功地可视化了可见/非可见波长的多光谱反射,并同时检测了光谱偏振的各种表面表型。P-MIRU系统扩展了我们的视觉能力,并揭示了生物表面的信息。(217/250字)。
Reflection light forms the core of our visual perception of the world. We can obtain vast information by examining reflection light from biological surfaces, including pigment composition and distribution, tissue structure and surface microstructure. However, because of the limitations in our visual system, the complete information in reflection light, which we term \'reflectome\', cannot be fully exploited. For example, we may miss reflection light information outside our visible wavelengths. In addition, unlike insects, we have virtually no sensitivity to light polarization. We can detect non-chromatic information lurking in reflection light only with appropriate devices. Although previous studies have designed and developed systems for specialized uses supporting our visual systems, we still do not have a versatile, rapid, convenient and affordable system for analyzing broad aspects of reflection from biological surfaces. To overcome this situation, we developed P-MIRU, a novel multispectral and polarization imaging system for reflecting light from biological surfaces. The hardware and software of P-MIRU are open source and customizable and thus can be applied for virtually any research on biological surfaces. Furthermore, P-MIRU is a user-friendly system for biologists with no specialized programming or engineering knowledge. P-MIRU successfully visualized multispectral reflection in visible/non-visible wavelengths and simultaneously detected various surface phenotypes of spectral polarization. The P-MIRU system extends our visual ability and unveils information on biological surfaces.