Beijing Yiketai Ecological Technology Co., Ltd
Home>Products>PlantScreen High throughput Plant Phenotype Imaging Analysis Platform (Conveyor Version) (Part 1)
Product Groups
Firm Information
  • Transaction Level
    VIP member
  • Contact
  • Phone
    13671083121
  • Address
    101B, Unit 1, Building 6, Courtyard 3, Gaolizhang Road, Haidian District, Beijing
Contact Now
PlantScreen High throughput Plant Phenotype Imaging Analysis Platform (Conveyor Version) (Part 1)
PlantScreen High throughput Plant Phenotype Imaging Analysis Platform (Conveyor Version) (Part 1)
Product details

PlantScreen High throughput Plant Phenotype Imaging Analysis Platform (Conveyor Version) (Part 1)

PlantScreenThe high-throughput plant phenotype imaging analysis platform is developed and produced by the internationally renowned company PSI,Integrated LED plant intelligent cultivation, automated control system, chlorophyll fluorescence imaging measurement and analysis(Scalable multispectral fluorescence imaging)Advanced technologies such as plant thermal imaging analysis, plant near-infrared imaging analysis, RGB true color 3D imaging, hyperspectral imaging, 3D laser scanning imaging analysis, RhizoTron root imaging analysis, automatic barcode recognition management, automatic weighing and watering system, etc,To achieve comprehensive physiological function and morphological structure automatic imaging analysis of a large number of plant samples in an optimized manner, for high-throughput phenotype imaging analysis and measurement, stress response imaging analysis and measurement, growth analysis and measurement, ecological toxicology research, trait identification, resistance screening, crop genetics and breeding, and plant physiological and ecological analysis of tropical crops such as corn, rice, wheat, soybeans, and coconut trees.

image.png

PlantScreenTechnical features:

1.Modular structure, flexible configuration, optional different functional modules, the system has strong scalability

2.The globally leading FluorCam chlorophyll fluorescence imaging technology is an essential analysis technique for crop physiological and ecological functional traits. Equipped with a unique high-sensitivity chlorophyll fluorescence imaging lens, the imaging area can be selected as 35cm x 35cm or 80cm x 80cm

3.Different phenotype imaging analysis modules can be optionally selected:

1)Chlorophyll fluorescence imaging unit, single image area 35cm x 35cm or optional 80cm x 80cm

2)Multi excitation luminescence and multispectral fluorescence imaging module, including GFP and other fluorescent protein imaging, multispectral fluorescence imaging analysis, etc

3)3D RGBVisible light imaging analysis unit, including two high-resolution RGB lenses on the top and side, a 0-360 degree rotating platform, and a light source lamp

4)Hyperspectral imaging analysis unit, with VNIR hyperspectral and SWIR hyperspectral options available for selection

5)Infrared thermal imaging analysis unit (standard top 2D imaging analysis, optional top and side 3D imaging analysis), used for imaging analysis of plant drought stress and stomatal conductance

6)3DLaser scanning unit, used for 3D point cloud model and morphological structure analysis of crops, PSI professional technology, can project chlorophyll fluorescence imaging, hyperspectral imaging, etc. onto the 3D point cloud model for 3D analysis, crop growth model research, etc

7)Root imaging analysis unit, RhizoTron root window technology

8)NIR(Near infrared) imaging unit, used for analyzing plant water status, optional with 3D near-infrared imaging

9)Automatic weighing and watering system

image.png

4.The world's unique intelligent LED light adaptation chamber ensures stable and comparable light and dark adaptation before crop phenotype imaging analysis

5.Shoot & Root PhenotypingComprehensive analysis of plant phenotypes

6.The plant conveying system can be customized and expanded according to customer needs

7.Customized intelligent LED greenhouse or crop growth room (optional) for customers, which can simulate circadian rhythms, cloudy weather, etc. The conveying system can automatically transport plants from the growth room to the light adaptation room and then enter the imaging room for imaging analysis, and remotely browse and analyze online

8.A powerful operating system and crop phenotype big data platform with leaf tracking and monitoring functions, as well as 3D projection capabilities

9.PSIThe expert team of the Phenotype Research Center provides technical support and organizes an annual World Plant Phenotype Symposium in the United States and Europe respectively

Application of International Plant Phenotype Analysis Techniques

As the world's first manufacturer to develop and produce FluorCam plant chlorophyll fluorescence imaging systems, PSI is at the forefront of technology in the field of plant phenotype imaging analysis. Its FluorCam chlorophyll fluorescence imaging system was first applied in plant phenotype analysis research, with representative papers such as Celine Rousseau et al. (High throughput quantitative phenotyping of plant resistance using chlorophyll fluorescence image analysis, Plant Methods 2013). The PlantScreen fully automatic high-throughput plant phenotype imaging analysis platform, which integrates advanced technologies such as RGB 3D imaging analysis, hyperspectral imaging analysis, near-infrared imaging analysis, infrared thermal imaging analysis, and LiDAR scanning analysis based on FluorCam technology, has become the world's most advanced equipment for phenotype omics and crop genetic breeding research (application cases are attached separately).

System configuration and working principle:

The entire system consists of an automated plant conveying system, a light adaptation chamber, FluorCam chlorophyll fluorescence imaging, RGB imaging, hyperspectral imaging, root imaging, plant infrared thermal imaging, plant near-infrared imaging, automatic watering and weighing system, plant identification system, control system, and surface big data platform. Plants in greenhouses or growth chambers are transported to the light adaptation chamber through the automatic identification conveying system, and then necessary watering and weighing are carried out. Finally, the plants are automatically returned to their original positions by the conveyor belt to the imaging chamber for imaging analysis. The system server and data analysis platform collect and analyze data online, and automatically store it in the database system

image.png

Technical indicators:

1. image.pngLight adaptation room:

·Perform uniform and stable light or dark adaptation before crop imaging analysis to ensure the reliability of plant phenotype analysis data

·Intelligent cold white LED (6500K)+far red LED (735nm) light source, no radiation heating effect on plants, light intensity1000 μmoles /m2/s0-100%(Step up by 1%) Adjustable

·Adapt to indoor ventilation system to maintain air exchange and ventilation

·Equipped with a plant height laser monitoring system to adjust imaging height based on height, etc

·Equipped with a laser positioning system to adjust and control the synchronization of plant movement and imaging protocols

·Vertical curtain doors ensure isolation from ambient light and imaging systems

·Equipped with IP monitoring camera to maintain constant monitoring of system operation and plant movement status

·Specification capacity: 8 pots/culture tray

2.RGB 3DStructural imaging analysis unit

a)2A high-resolution RGB lens (top and side), a new generation CMOS color sensor, with a resolution of 12.8Mpix (4096x3000) and a pixel size of 3.45 µ m

b)The imaging height can be defined or set by the customer, with a range of 0-1050mm and an accuracy of 3mm

c)360Rotating platform, uniform LED light source illumination

d)Data transmission: Gigabit Ethernet

e)Measurement parameters: leaf area, plant compactness/compactness, leaf circumference, eccentricity, leaf roundness, leaf width index, plant circle diameter, convex hull area, plant centroid, growth height, maximum plant height and width, relative growth rate, etc

f)Phenotypic parameters such as color segmentation analysis, plant suitability evaluation, comparative analysis of dynamic changes in leaf area during experimental growth period, greenness index, and color grading analysis (healthy green, bright green, dark green, other colors) can be performed

image.png

3.FluorCamChlorophyll fluorescence imaging unit

a)Imaging area: 35 × 35cm or optional 80x80cm

b)Orange 620nm LED pulse modulation measurement light source

c)Dual color chemical light, orange 620nm LED and cool white LED light sources

d)Cold white LED saturation flash, maximum light intensity of 4000µmol(photons)/m².s

e)735nm LEDInfrared light source used for measuring Fo 'and other parameters

f)Optional blue light source and 7-bit filtering wheel for GFP steady-state fluorescence measurement

g)High sensitivity chlorophyll fluorescence imaging professional CCD sensor, 1.4M resolution, A/D 16 bit, with video mode and snapshot mode

h)Measurement parameters:FoFmFvFo'Fm'Fv'FtFv/FmFv'/Fm'PhiPSIINPQqNqPRfdETREtc., used to analyze plant photosynthetic efficiency, fitness, biotic and abiotic stress, crop resistance, resilience, etc

i)Fv/Fm、 Kautsky induction effect, fluorescence quenching analysis, etcComplete automationMeasurement protocols and measurement parameters, such as Fv/Fm program, require only 10 seconds for measurement time

j)Online analysis of chlorophyll fluorescence data, including bar charts, measurement parameter graphs, data tables, etc., with functions such as custom image segmentation

12.jpg

4. Multi spectral fluorescence imaging module

·Not only can it run PAM chlorophyll fluorescence imaging, but it can also perform GFP/YFP and other fluorescent protein imaging, multispectral fluorescence imaging

·9LED excitation light source: UV(365nm)、 Blue light source (440nm), blue light source (470nm), green light source (530nm), amber light source (590nm), orange light source (630nm), deep red light source (660nm), far red light source (730nm), and cool white light source (5700K)

·Imageable analysis of polyphenols (flavonols, anthocyanins, etc.), nitrogen index, etc

·Resolution 1360x1024 pixels, binning 2x2, 680x512 pixels

5. Infrared heatImaging unit

·Imaging sensor: focal plane array microcalorimeter, resolution 640 × 480 pixels, sensitivity 30mK (0.03 ° C), band 7.5-13μm

·Optional high-resolution infrared thermal imaging, with a resolution of up to 1024x768 pixels and a sensitivity of 20mK (0.02 ° C)

·Temperature range -20-120 ℃, resolution<0.03 ℃ @ 30 ℃/30mK

·Specialized imaging light source: Cold white LED light source board, used to provide a stable thermal environment for measuring plants, 6500K, maximum light intensity of 1000 µ mol (photons)/m ². s, 0-100% adjustable

·Equipped with temperature dynamic protocols, synchronized acquisition of light intensity, duration, and thermal imaging distribution data to study and analyze plant temperature distribution dynamics, etc

·Equipped with temperature reference sensors

·Measurement parameters: actual temperature at each point of the plant, distribution map of plant surface temperature

·Professional analysis software used for data acquisition, analysis, storage, etc

2.jpg

6. NIRImaging analysis unit (optional):

·Used for imaging monitoring and analysis of plant water status distribution, with a false color palette, it can facilitate comparative analysis and quickly monitor dehydrated plants. Therefore, it can monitor and evaluate the dynamic changes in plant water response and water use efficiency under drought stress conditions

·Relevant analysis can be conducted with RGB imaging morphology structure parameters and FluorCam photosynthetic efficiency parameters; Can fully record and trace the dynamic response of drought and rehydration processes, etc

·By measuring the moisture absorption spectrum and 940nm reference spectrum, it effectively avoids environmental light and shadow effects

·InGaAsSensor, effective chip size 9.6x7.7mm, band range 900-1700nm, resolution 638x510 pixels, frame rate 118fps, A/D 14 bits

·Optional top and side dual lens 3D imaging analysis

·Optional root imaging analysis unit for near-infrared imaging analysis of roots

7. Visible Near Infrared Hyperspectral Imaging Unit

· image.pngImaging wavelength range: 400-950nm (or 350-900nm)

·Imaging sensor: Push scan linear scanning sensor, equipped with a dedicated scanning light source

·Pixel dispersion: 0.28nm/pixel

·Spectral resolution 0.8nm FWHM

·Spectral bands (number of bands): 1920 bands

·Spatial resolution: 1000

·Incident slit width: 25 μ m

·Frame rate: 45fps

·CMOSDetector, aperture F/2.0, GigE network interface

·Automatic reference calibration, linear scanning, height adjustable

·Measurement parameters: Reflectance spectral imaging maps and full spectrum curves for each band, and automatic calculation of the following vegetation indices: Normalization Index NDVI, Simple Ratio Index SR, Improved Chlorophyll Absorption Reflectance Index MCARI, Improved Chlorophyll Absorption Reflectance Index 1MCAI1, Optimized Soil Adjusted Vegetation Index OSAVI, Greenness Index G, Conversion Carotene Index TCARI, Triangular Vegetation Index TVI, ZMI Index, Simple Ratio Pigment Index SRPI, Normalized Demagnetization Index NPQI, Photochemical Vegetation Reflectance Index PRI, Normalized Chlorophyll Index NPCI, Carter Index, Lichtenhaler Index, SIPI Index, Gitelson Merzlyak Index, Anthocyanin Reflectance Index, etc

image.png

8. Short wave infrared hyperspectral imaging unit

·Imaging wavelength range: 900-1700nm

·Imaging sensor: Push scan linear scanning sensor, equipped with a dedicated scanning light source

·Spectral resolution: 2nm (FWHM)

·Number of spectral bands: 510 bands

·Spatial resolution 636

·Measurement parameters: Reflection spectrum imaging and full spectrum curve of each band, non-destructive measurement of changes in overall and different parts of plant moisture content (the darker the blue in the right figure, the higher the moisture content)

image.png

9. 3DLaser scanning unit:

·Top and side laser scanning, 660nm laser, used for precise 3D model construction of plants, with a resolution of less than 1mm

·Top scanning distance of 60cm, customer defined side scanning distance

·3DPoint cloud models, RGB imaging, chlorophyll fluorescence imaging data, etc. can be overlaid and analyzed with 3D models

·Plant structure, biomass, number of leaves, leaf area, leaf inclination angle, plant height and other structural and morphological parameters

image.png

Online inquiry
  • Contacts
  • Company
  • Telephone
  • Email
  • WeChat
  • Verification Code
  • Message Content

Successful operation!

Successful operation!

Successful operation!