利用SOC710-VP高光谱成像光谱仪研究海洋生物迪斯科蛤的发光

图1：迪斯科蛤生活在20m水深的海洋水底缝隙    图2 SOC710-VP在迪斯科蛤的反光幔边缘收集新数据

    在综合与比较生物学协会（Society for Integrative and Comparative Biology）年度会议上，美国伯克利大学的研究人员Lindsey Dougherty利用SOC710-VP高光谱成像光谱仪对海洋生物迪斯科蛤（disco clams）的研究发现吸引了全美媒体的眼球。Lindsey Dougherty就SOC710-VP高光谱成像光谱仪在海洋生物研究领域中的应用优势给出了独到的见解。

    Lindsey Dougherty认为：SOC710-VP是一款使用简单、携带方便的可见/近红外高光谱成像光谱仪。SOC710-VP高光谱成像光谱仪在两个方面具有独到的优势。
 
    （1）光谱数据获取方面：SOC710-VP高光谱成像光谱仪应用环境简单灵活，可实现实验室和野外测量，也可以连接在显微镜上使用。SOC710-VP高光谱成像光谱仪可以获得400-1000nm波长范围内的光谱数据立方。光谱数据立方可以实时展示整个有机体以及它的生活环境。
 
    （2）光谱数据分析方面：SOC710-VP高光谱成像光谱仪自带成像光谱分析处理软件，可实时分析数据；也可采用第三方软件如ENVI，进行数据处理。研究人员只需要在图像上移动光标就可以查看蛤的不同部位组织和不同部位组织反射率的差异。
 

 
    高光谱成像光谱数据是图谱合一的海量数据源，它同时包含了图像信息和光谱信息，能够给出各个波段上每个像素的光谱强度数据，而且光谱分辨率很高。这样，这种数据在一些对光谱和图像和光谱分辨率要求较高的领域就显示出无可替代的作用。
 
    另外，高光谱成像技术不仅具有光谱分辨能力，还具有图像分辨能力，利用高光谱成像技术不仅可以对待检测物体进行定性和定量分析，而且还能进对其进行定位分析。
 
    Lindsey Dougherty的见解，原文如下：
 
    Dougherty: When I saw the first HSI of the disco clam, I was most excited by how easy it was to navigate various parts of the tissue and see the resulting differences in reflectance simply by moving the cursor throughout the image. For my Disco Clams specifically, I never realized how important the transitional change was from the red-shifted mantle tissue to the blue-shifted reflective edge (the “Disco” part) when doing point measurement spectrometry. By exploring various pixels within the HSI image however, I was able to show that the transition was gradual, which gives me crucial insight into structural components of the tissue and the reflecting cells, and can be compared with my transmission electron microscopy data.
 
    The HSI is superior to a point measurement spectrometer in looking at transitions between reflectance spaces. Additionally, having a single image of the entire tissue or organism eliminates the possibility of changes in external conditions, which can occur between single shots using a point measurement spectrometer. It also drastically reduces the amount of time and effort that go into collecting data, as a single picture will give data for every single pixel. The power of that tool contributes exponentially to data acquisition and comparative analysis.