科学家最近使用VideometerLab多光谱成像系统在期刊Journal of Seed Sicence发表了题为”X-ray, multispectral and chlorophyll fluorescence images: innovative methods for evaluating the physiological potential of rice seeds”的文章，凸显了多光谱成像技术在种子表型组学领域的前沿应用前景。

X射线、多光谱和叶绿素荧光图像：评估水稻种子生理潜力的创新方法

摘要

图像分析技术在农业中正在扩展，由于其快速、简单且不破坏样本，是检测未成熟水稻种子的有趣的替代方法。因此，本研究的目的是利用X射线、多光谱和叶绿素荧光图像分析技术评估水稻种子的质量。最初，对种子进行识别和编号后，获得射线照相图像以确定自由空间（胚乳+胚和颖片之间的区域）。随后，使用X射线中使用的相同种子，采集多光谱和叶绿素荧光图像，然后使用SVIS®软件进行计算机化的幼苗分析。结果表明，不发芽或产生异常幼苗的水稻种子的自由空间等于或大于18.68%，且在630/700nm和645/700nm的激发/发射能量下具有分别等于或大于40.58和112.92的叶绿素荧光值。

索引术语：

自由空间；未成熟种子；水稻；种子活力；光谱反射率

X-ray, multispectral and chlorophyll fluorescence images: innovative methods for evaluating the physiological potential of rice seeds

Abstract

Image analysis techniques are expanding in agriculture and, for being fast, simple, and not destroying samples, they are interesting alternatives in the detection of immature rice seeds. Therefore, the aim of this study was to evaluate the quality of rice seeds using X-ray, multispectral and chlorophyll fluorescence image analysis techniques. Initially, with the seeds identified and numbered, radiographic images were obtained to determine the free space (area between the endosperm + embryo and the glumes). Subsequently, with the same seeds used in the X-ray, multispectral and chlorophyll fluorescence images were acquired, and then the computerized seedling analysis was performed with the SVIS® software. It was concluded that rice seeds that do not germinate or originate abnormal seedlings have free space equal to or greater than 18.68%, higher reflectance in the spectral bands with wavelength from 590 nm to 780 nm (41.46% to 64.21%, respectively) and in the band of 970 nm (75.65%), in addition to having chlorophyll fluorescence values equal to or greater than 40.58 and 112.92 at excitation/emission energies of 630/700 nm and 645/700 nm, respectively.

Index terms:
free space; immature seeds; Oryza sativa L.; seed vigor; spectral reflectance