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Smart Agriculture ›› 2023, Vol. 5 ›› Issue (3): 154-165.doi: 10.12133/j.smartag.SA202306006

• 专刊--作物信息监测技术 • 上一篇    

应用于植物生理状态检测的低成本叶绿素荧光成像系统

杨振宇1,2(), 汤浩1,2, 葛玮1,2, 夏倩1,2, 仝德之3, 付丽疆1,2, 郭亚1,2()   

  1. 1. 江南大学 轻工过程先进控制教育部重点实验室,江苏 无锡 214122,中国
    2. 江南大学 物联网工程学院,江苏 无锡 214026,中国
    3. 绿视芯科技(无锡)有限公司,江苏 无锡 214000,中国
  • 收稿日期:2023-06-07 出版日期:2023-09-30
  • 基金资助:
    国家自然科学基金国际合作项目(51961125102); 国家自然科学基金面上项目(31771680); 江苏省农业科技自主创新资金项目(SCX(22)3669)
  • 作者简介:
    杨振宇,研究方向为物联网、传感器仪器。E-mail:
  • 通信作者:
    郭 亚,博士,教授,研究方向为传感器仪器、光学检测、物联网、大数据分析。E-mail:

Low-Cost Chlorophyll Fluorescence Imaging System Applied in Plant Physiology Status Detection

YANG Zhenyu1,2(), TANG Hao1,2, GE Wei1,2, XIA Qian1,2, TONG Dezhi3, FU Lijiang1,2, GUO Ya1,2()   

  1. 1. Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi 214122, China
    2. School of Internet of Things, Jiangnan University, Wuxi 214122, China
    3. Chloview Science and Technology (Wuxi) Co. Ltd, Wuxi 214000, China
  • Received:2023-06-07 Online:2023-09-30
  • Supported by:
    National Natural Science Foundation of China(51961125102); National Natural Science Foundation of China(31771680); Jiangsu Agricultural Science and Technology Innovataion Fund(SCX(22)3669)

摘要:

[目的/意义] 植物光合作用过程中释放的叶绿素荧光与光化学反应紧密耦合,其荧光信号采集是光合作用效率、植物生理及环境胁迫等无损的测试手段。作为获取该信号的叶绿素荧光成像系统通常价格昂贵,针对此问题,本文提出一种低成本叶绿素荧光成像系统设计方案。 [方法] 叶绿素荧光成像系统主要由激发光灯组、CMOS(Complementary Metal Oxide Semiconductor)相机及其控制电路和智能手机上位机三部分组成。激光发灯组采用LED面光源和碗状结构,通过对光场的仿真分析保证光照强度和均匀性;采用微型CMOS相机进行荧光图像采集,利用智能手机作为上位机完成激发光控制,并将数据回传至手机或服务器进行分析、处理、存储及显示。 [结果和讨论] 基于该方案,制造了一款仪器样机,其激发光强最大为6250 µmol/(m2·s),光场整体变化幅度偏差为2%,光谱范围为400~1000 nm,稳定的采集频率最高可达42 f/s,具备连续光激发和调制脉冲激发功能。 [结论] 通过叶绿素荧光图像采集实验验证了本仪器的有效性。该仪器结构简单、造价成本低,在植物生理状态检测领域有着很好的应用价值。

关键词: 荧光检测, 叶绿素荧光成像系统, 光合作用, CMOS相机, TracePro

Abstract:

[Objective] Chlorophyll fluorescence (ChlF) emission from photosystem II (PSII) is closely coupled with photochemical reactions. As an efficient and non-destructive means of obtaining plant photosynthesis efficiency and physiological state information, the collection of fluorescence signals is often used in many fields such as plant physiological research, smart agricultural information sensing, etc. Chlorophyll fluorescence imaging systems, which is the experimental device for collecting the fluorescence signal, have difficulties in application due to their high price and complex structure. In order to solve the issues, this paper investigates and constructs a low-cost chlorophyll fluorescence imaging system based on a micro complementary metal oxide semiconductor (CMOS) camera and a smartphone, and carries out experimental verifications and applications on it. [Method] The chlorophyll fluorescence imaging system is mainly composed of three parts: excitation light, CMOS camera and its control circuit, and a upper computer based on a smartphone. The light source of the excitation light group is based on the principle and characteristics of chlorophyll fluorescence, and uses a blue light source of 460 nm band to achieve the best fluorescence excitation effect. In terms of structure, the principle of integrating sphere was borrowed, the bowl-shaped light source structure was adopted, and the design of the LED surface light source was used to meet the requirements of chlorophyll fluorescence signal measurement for the uniformity of the excitation light field. For the adjustment of light source intensity, the control scheme of pulse width modulation was adopted, which could realize sequential control of different intensities of excitation light. Through the simulation analysis of the light field, the light intensity and distribution characteristics of the light field were stuidied, and the calibration of the excitation light group was completed according to the simulation results. The OV5640 micro CMOS camera was used to collect fluorescence images. Combined with the imaging principle of the CMOS camera, the fluorescence imaging intensity of the CMOS camera was calculated, and its ability to collect chlorophyll fluorescence was analyzed and discussed. The control circuit of the CMOS camera uses an STM32 microcontroller as the microcontroller unit, and completes the data communication between the synchronous light group control circuit and the smartphone through the RS232 to TTL serial communication module and the full-speed universal serial bus, respectively. The smartphone upper computer software is the operating software of the chlorophyll fluorescence imaging system user terminal and the overall control program for fluorescence image acquisition. The overall workflow could be summarized as the user sets the relevant excitation light parameters and camera shooting instructions in the upper computer as needed, sends the instructions to the control circuit through the universal serial bus and serial port, and completes the control of excitation light and CMOS camera image acquisition. After the chlorophyll fluorescence image collection was completed, the data would be sent back to the smart phone or server for analysis, processing, storage, and display. In order to verify the design of the proposed scheme, a prototype of the chlorophyll fluorescence imaging system based on this scheme was made for experimental verification. Firstly, the uniformity of the light field was measured on the excitation light to test the actual performance of the excitation light designed in this article. On this basis, a chlorophyll fluorescence imaging experiment under continuous light excitation and modulated pulse light protocols was completed. Through the analysis and processing of the experimental results and comparison with mainstream chlorophyll fluorometers, the fluorescence imaging capabilities and low-cost advantages of this chlorophyll fluorometer were further verified. [Results and Discussions] The maximum excitation light intensity of the chlorophyll fluorescence imaging system designed in this article was 6250 µmol/(m2·s). Through the simulation analysis of the light field and the calculation and analysis of the fluorescence imaging intensity of the CMOS camera, the feasibility of collecting chlorophyll fluorescence images by the OV5640 micro CMOS camera was demonstrated, which provided a basis for the specific design and implementation of the fluorometer. In terms of hardware circuits, it made full use of the software and hardware advantages of smartphones, and only consisted of the control circuits of the excitation light and CMOS camera and the corresponding communication modules to complete the fluorescence image collection work, simplifying the circuit structure and reducing hardware costs to the greatest extent. The final fluorescence instrument achieved a collection resolution of 5 million pixels, a spectral range of 400~1000 nm, and a stable acquisition frequency of up to 42 f/s. Experimental results showed that the measured data was consistent with theoretical analysis and simulation, which could meet the requirements of fluorescence detection. The instrument was capable of collecting images of chlorophyll fluorescence under continuous light excitation or the protocol of modulated pulsed light. The acquired chlorophyll fluorescence images could reflect the two-dimensional heterogeneity of leaves and could effectively distinguish the photosynthetic characteristics of different leaves. Typical chlorophyll fluorescence parameter images of Fv/Fm, Rfd, etc. were in line with expectations. Compared with the existing chlorophyll fluorescence imaging system, the chlorophyll fluorescence imaging system designed in this article has obvious cost advantages while realizing the rapid detection function of chlorophyll fluorescence. [Conclusions] The instrument is with a simple structure and low cost, and has good application value for the detection of plant physiology and environmental changes. The system is useful for developing other fluorescence instruments.

Key words: chlorophyll fluorescence detection, chlorophyll fluorescence imager, photosynthesis, CMOS camera, TracePro