PhenoTron PTSPlant Spectral Imaging Detection Platform

The PhenoTron PTS (Plant To Sensor) plant spectral imaging detection platform adopts PTS (Plant To Sensor) plant automatic transmission technology, integrating international advanced imaging analysis technologies such as hyperspectral imaging analysis, chlorophyll fluorescence imaging analysis, infrared thermal imaging analysis, etc. Samples are automatically transmitted to the corresponding imaging workstations through the transmission platform, achieving high-throughput, non-destructive reflected light imaging, chlorophyll fluorescence imaging, multispectral fluorescence imaging, and infrared thermal radiation imaging analysis. It is widely used in crop phenotype analysis, germplasm resource detection research, genetic breeding, resistance screening, plant physiology and ecology research, photobiology research, fruit and vegetable quality detection, etc.

When the basic configuration is hyperspectral imaging and chlorophyll fluorescence imaging, this system is also known as PhneoTron HF.

The upper left figure shows that after absorbing sunlight, some of the leaves are reflected (or transmitted), some are absorbed (mainly red and blue light) for photosynthesis, a small part is lost in the form of chlorophyll fluorescence, and another part is lost in the form of heat; The upper right image shows the internal imaging station of the instrument

The left image shows the transmission of PhenoTron PTS plants to the Chlorophyll Fluorescence Imaging and Hyperspectral Imaging Station (PhenoTron HF) for imaging analysis; The figure on the right below shows the effects of glyphosate on the photosynthetic physiology of Arabidopsis thaliana (chlorophyll fluorescence imaging analysis, provided by Ecolab Laboratory)

Main technical features:

1)PTS (Plant to Sensor) technology platform, dual track synchronous lifting control SpectraScan © High precision mobile scanning platform, samples can be placed on the precise displacement platform and automatically transported to the imaging unit for imaging analysis

2)Multi sensor imaging, including chlorophyll fluorescence imaging, multispectral fluorescence imaging, hyperspectral imaging, Thermo RGB imaging, etc

3)It can perform imaging detection and analysis of phenotypic traits of cultivated plants, leaves, fruits, seed germination and seedlings, roots, and algae

4)Modular structure design with powerful system expansion capabilities, capable of remote control and automatic operation of data collection and storage

5)Embedded host, touch screen control, fully Chinese operating system

6)Provide one-stop solutions for plant phenotype, germplasm resource detection and identification, crop physiological ecology, algae and marine plant research and detection, etc

7) The host system comes with casters, making it easy to move and suitable for working environments such as laboratories and greenhouses

Main technical indicators:

1) Chlorophyll fluorescence imaging station:

a)Professional high-sensitivity chlorophyll fluorescence imaging CCD, frame rate 50fps, resolution 720x × 560 pixels, pixel size 8.6 × 8.3µm

b)Photochemical light up to 1000 µ mol · m^-2. s^-1Adjustable, saturated pulse 3900 µ mol · m^-2. s^-1

c)Can automatically run protocols such as Fv/Fm, Kautsky induction effect, fluorescence quenching analysis, light response curve, etc

d)More than 50 chlorophyll fluorescence automatic measurement and analysis parameters, including Fv/Fm, Fv '/Fm', Y (II), NPQ, qN, qP, Rfd, ETR, etc., automatically generate chlorophyll fluorescence parameter maps

e)Automatically synchronize the display of chlorophyll fluorescence parameters and parameter graphs, chlorophyll fluorescence dynamic curves, and chlorophyll fluorescence parameter frequency histograms

2) Multispectral Fluorescence Imaging Station: UV excited multispectral fluorescence imaging reflects the dynamic changes of secondary metabolites such as polyphenols and flavonoids, chlorophyll, plant aging, plant pest and disease stress, and abiotic stress

a) High resolution CCD lens, 1392x1040 pixels, effective pixel size of 6.45 μ m, pixel binning to improve sensitivity (2x2, 3x3, 4x4)

b) 7-bit filtering wheel and filter, used for imaging measurement of multispectral fluorescence F440, F520, F690, F740 and other biological fluorescence phenomena

3) Automatic measurement and analysis function (unmanned): One or two test programs can be preset, and the system can automatically measure and store them. For example, during the day, the Kautsky induction effect program can be automatically timed to run, and at night, the fluorescence quenching analysis program can be automatically timed to run

4) Optional GFP/YFP steady-state fluorescence imaging or LUC luciferase imaging

5) Optional UV, red, green, cyan, blue, far red and other light sources in different frequency bands

6) Chlorophyll fluorescence imaging and multispectral fluorescence imaging tools have menus such as Live (live testing), Protocol (experimental program selection), Pre processing (imaging preprocessing), Result (imaging analysis results), etc. The Protocol experimental program can be freely edited, and customers can also use the wizard program template in the Protocol menu to freely create new experimental programs

7) Hyperspectral imaging station: Standard configuration includes 400-1000nm visible light near-infrared and 900-1700nm short wave infrared hyperspectral imaging analysis, optional 1000-2500 year SWIR hyperspectral imaging sensor

a) Number of bands: 224 channels

b) Spectral resolution: FWHM 5.5nm（400-1000nm）、8nm（900-1700nm）

c) Spatial resolution: 1024x (400-1000nm), 640x (900-1700nm), optional with other resolutions for hyperspectral imaging

d) Signal to noise ratio 600:1 (400-1000nm), 1000:1 (900-1700nm)

e)Imagery measurement and analysis of crop biochemical and physiological indicators such as chlorophyll content, anthocyanin content, carotenoid content, light use efficiency, health index, coverage, stress, etcNDNI normalized N index, NDWI normalized water index, MSI water stress index, etc

From left to right: Hyperspectral imaging analysis of wheat nitrogen and water status (Brooke Bruning et al.); High spectral imaging detection of salt alkali tolerance in wheat (Ali Moghimi et al., 2018); Wheat Fusarium resistance testing (E. Alisac et al., 2018)

8) Infrared thermography:

a) Resolution: 640 × 512 pixels, optional with other high-resolution infrared thermal imaging sensors

b) Measurement temperature range:- 25℃－150℃

c) Sensitivity: 0.03 ℃ (30mK) @ 30 ℃

d) Spectral range: 7.5-13.5 μ m

e) Sensor: Uncooled infrared focal plane sensor, calibrated at multiple points (with calibration certificate)

f) 1-14x digital zoom

g) The software has a color palette (14 color combinations including natural, rainbow, grayscale, gradient, etc.), difference technology, temperature range setting (to change color distribution or highlight selection range, etc.), isotherm mode, selection analysis (points, lines, polygons, etc.), temperature scanning (to display the temperature distribution curve of the selected line, etc.), profile temperature, time chart, etc; Can display image information; Having reporting modes, etc; Control settings can be made

9) RGB imaging: High sensitivity RGB imaging, 1-40 times magnification, capable of micro and macro imaging analysis, optional with other high-resolution imaging sensors

Installation, debugging, and experimental operation of the customized system for Ocean University customers. The experimental sample on the right is kelp

Application case: Rapid non-destructive testing of lettuce seedling diseases and identification of resistant varieties

During the process of seed germination and growth, crops will encounter various diseases, so the breeding of high disease resistant varieties is very important. If the occurrence of diseases can be detected quickly, non destructively, simply, and reliably, even before the symptoms of diseases occur, it is of great significance for shortening breeding cycles and guiding production practices.

The Sandmann research group at the Leibniz Institute for Vegetables and Ornamental Plants IGZ in Germany artificially infected newly sprouted lettuce seedlings with Fusarium graminearum（Rhizoctonia solani）Then, by comprehensively using chlorophyll fluorescence imaging technology, multispectral fluorescence imaging technology, infrared thermal imaging technology, and plant reflectance spectroscopy NDVI imaging, different imaging parameters were analyzed to determine which parameters of which technologies can more sensitively distinguish infected and uninfected plants, achieving high-throughput non-destructive online analysis, measurement and screening:

The results showed that the maximum photochemical efficiency Fv/Fm, fluorescence attenuation index Rfd NDVI、 Crop water stress index I1, daily relative growth rate of photosynthetically active leaf area A_relThe parameters of multispectral fluorescence F440 and F520 showed significant differences. Through further data statistical analysis, it was found that Fv/Fm and Rfd had the best recognition performance in this experiment, with an error of ≤ 0.052. Lettuce seedlings with Fv/Fm>0.73 can be considered healthy. Researchers hope to apply this discovery to horticultural and agricultural production practices through further work, such as the selection of excellent disease resistant vegetable varieties, early detection and prevention of diseases, etc.

reference:

1)Ali Moghimi etc.A Novel Approach to Assess Salt Stress Tolerance in Wheat Using Hyperspectral Imaging.Frontiers in Plant Science, 2018

2)Brooke Bruning etc. The development of Hyperspectral distribution maps to predict the content and distribution of nitrogen and water in wheat. Frontiers in Plant Science, 2019）

3)E．Alisaac etc.Hyperspectral quantification of wheat resistance to Fusarium head blight: comparison of two Fusarium species. Eur J Plant Pathol, 2018

4)Sandmann M,et al.2018. The use of features from fluorescence, thermography and NDVI imaging to detect biotic stress in lettuce. Plant Disease 102: 1101-1107