EcoTech植物表型成像分析全面解决方案（三）
6) PlantScreen NIR成像采用多滤波器技术，不仅测量水分吸收峰值1450nm，还可进行reference测量如植物对1000nm反射，从而得到高反差水分分布信息。而其它产品近红外成像只有一个滤波器得到1400nm的反射影像，没有reference测量（对照参考测量），得到的数据很大程度上缺乏量化、信噪比非常低
7) PSI不仅是FluorCam叶绿素荧光成像技术的研发生产者，应用于PlantScreen的传感器（包括高光谱、近红外、红外热成像等）、智能LED光控技术、FytoScope生长室等都由自己生产，从而保障了产品技术的稳定性、可靠性、兼容性及性能指标和价格的实在性，有效避免了维护费用高、兼容性差、容易出问题、性价比低等缺陷
8) PlantScreen所测量的所有数据都是透明的、可以追溯的，而不像其它同类产品只是一个“黑箱”，缺乏原数据的透明性等
9) PSI的表型大数据软件功能全面先进，具备强大的分析能力、可视化、数据库等，如对叶片跟踪监测功能（leaf tracking），可以持续跟踪监测叶片的生长、变化等等，这是其它同类产品所不具备的
10) PlantScreen不仅可以通过高分辨率RGB镜头 或激光扫描构建3D模型，而且还可以通过投射技术，将与其它传感器所得数据如叶绿素荧光、红外热成像温度数据、近红外数据、高光谱数据等投射在3D模型上一起进行对比分析等，其它同类产品完全不具备，甚至不能创建真正的3D模型
11) PSI公司建有植物表型分析研究中心，中心有首席科学家带队的技术团队，并发表多篇学术论文，与中国易科泰生态技术公司有着长达10年的合作，设有技术支持中心和EcoLab实验室，售后服务和技术支持有着充分的保障
上图为RGB二维形态成像分析；下图为不同表型成像分析技术（2D RGB成像、FluorCam叶绿素荧光成像、高光谱成像）同步分析，结果表明，Rfd最为敏感，实验一小时后就可以检测到实验组（干旱胁迫）与对照组的明显差别（左图为RGB彩色成像分析（叶面积），中图为FluorCam叶绿素荧光成像分析（荧光衰减指数），右图为高光谱成像分析（植被归一化指数））
根窗技术高通量根系表型分析
近期部分参考文献：
1) Celine Rousseau etc. High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis. Plant Methods 2013
2) Anna Rusaczonek etc. Role of phytochromes A and B in the regulation of cell death and acclamatory responses to UV stress in Arabidopsis thaliana. Journal of Experimental Botany 2015
3) Celine Rousseau etc. Phenoplant: a web resource for the exploration of large chlorophyll fluorescence image datasets. Plant Methods 2015
4) Fildas Bourdais etc. Large-scale Phenomics identifies primary and fine-tuning roles for CRKs in responses related to oxidative stress. PLOS Genetics 2015
5) Katarzyna Mozdzen etc. Effect of drought stress induced by mannitol on physiological parameters of Maize(Zea mays L.) seedlings and plants. Journal of Microbiology, Biotechnology and Food Sciences 2015
6) Jan F Humplik etc. Automated integrative high-throughput phenotyping of plant shoots: a case study of the cold-tolerance of pea. Plant Methods 2015
7) Jan F Humplik etc. Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review. Plant Methods 2015
8) Maria L. Perez-bueno etc. Multicolor fluorescence imaging as a candidate for disease detection in plant phenotyping. Frontiers in Plant Science 2016.
9) Mariam Awlia etc. High-throughput non-destructive phenotyping of traits that contribute to salinity tolerance in Arabidopsis thaliana. Frontiers in Plant Science 2016
10) Tepsuda Rungrat etc. Using phenomic analysis of photosynthetic function for abiotic stress response of gene discovery. BioOne 2016
11) Matthew Jacobs etc. Photonic multilayer structure of Begonia chloroplasts enhances photosynthetic efficiency. Nature Plants 2016
12) Carmen M. Ortiz-Bustos etc. Fluorescence imaging in the red and far-red region during growth of Sunflower Plantlets diagnosis of the early infection by the parasite Orobanche Cumana. Frontiers in Plant Science 2016
13) Henning Tschiersch etc. Establishment of integrated protocols for automated high throughput kinetic chlorophyll fluorescence analyses. Plant Methods 2017.
14) Joao Serodio etc. A chlorophyll fluorescence-based method for the integrated characterization of the photophysiological response to light stress. Journal of Experimental Botany 2017
15) Monica Pineda etc. Use of multicolour fluorescence imaging for diagnosis of bacterial and fungal infection on zucchini by implementing machine learning. Functional Plant Biology 2017
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