A low-cost and open-source platform for automated imaging
A low-cost and open-source platform for automated imaging
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DOI：
10.1186/s13007-019-0392-1
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发表时间：
2019-01-28
期刊：
影响因子：
5.1
通讯作者：
Townsend, Philip A.
中科院分区：
文献类型：
--
作者：
Lien, Max R.;Barker, Richard J.;Townsend, Philip A.
背景利用高光谱图像对植物进行遥感监测已成为研究植物生长发育和生理的重要工具。许多应用都倾向于在田间环境中使用，以实现对干旱、养分缺乏和疾病等因素造成的作物反应的非破坏性分析，例如使用有轨电车、无人机或飞机安装的仪器。现场环境引入了一系列不受控制的环境变量，使得光谱响应的验证和解释具有挑战性，因此，实验室和温室部署的植物研究和表型鉴定系统越来越引起人们的兴趣。在这项研究中，我们设计并开发了一个开源的、基于高光谱反射的成像系统，用于基于实验室的植物实验：HyperScanner。通过对拟南芥的干旱和盐分胁迫实验，验证了HyperScanner的可靠性和准确性。该系统是使用开源部件构建的，所有定制部件、操作方法和数据都已公开，以保持HyperScanner的开源目标。收集的反射图像显示了每个压力测试的窄带红色和红外反射光谱的变化，这种变化在其他视觉生理反应之前就很明显，并与使用全范围接触式光谱仪的测量结果一致。结论HyperScanner提供了可靠且廉价的实验室高光谱成像系统的潜力。HyperScanner能够快速收集各种植物胁迫实验的准确反射曲线。由此得到的图像显示了植物在应用治疗后不久但在视觉表现之前的光谱差异。HyperScanner通过在实验室环境中提供更多访问高光谱分析的途径，增加了光谱和基于成像的分析工具的能力。
BackgroundRemote monitoring of plants using hyperspectral imaging has become an important tool for the study of plant growth, development, and physiology. Many applications are oriented towards use in field environments to enable non-destructive analysis of crop responses due to factors such as drought, nutrient deficiency, and disease, e.g., using tram, drone, or airplane mounted instruments. The field setting introduces a wide range of uncontrolled environmental variables that make validation and interpretation of spectral responses challenging, and as such lab- and greenhouse-deployed systems for plant studies and phenotyping are of increasing interest. In this study, we have designed and developed an open-source, hyperspectral reflectance-based imaging system for lab-based plant experiments: the HyperScanner. The reliability and accuracy of HyperScanner were validated using drought and salt stress experiments with Arabidopsis thaliana.ResultsA robust, scalable, and reliable system was created. The system was built using open-sourced parts, and all custom parts, operational methods, and data have been made publicly available in order to maintain the open-source aim of HyperScanner. The gathered reflectance images showed changes in narrowband red and infrared reflectance spectra for each of the stress tests that was evident prior to other visual physiological responses and exhibited congruence with measurements using full-range contact spectrometers.ConclusionsHyperScanner offers the potential for reliable and inexpensive laboratory hyperspectral imaging systems. HyperScanner was able to quickly collect accurate reflectance curves on a variety of plant stress experiments. The resulting images showed spectral differences in plants shortly after application of a treatment but before visual manifestation. HyperScanner increases the capacity for spectroscopic and imaging-based analytical tools by providing more access to hyperspectral analyses in the laboratory setting.