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analytikLtd
VideometerLab 3 Multi-Spectral Imaging System
MSI for Grain and Seed Analysis
www.analytik.co.uk
© analytikLtd
Traditional colour imaging uses three broad bands of colour:
Red, Green and Blue
Normal Colour Imaging
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Normal Colour Imaging
• RGB photographs have limited spectral resolution
• Chlorophyll a and b give almost the same RGB signal and are not spectrally separated
Chloro-a High Low High
Chloro-b High Low High
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Multispectral Imaging
Chloro-a High Low Low High
Chloro-b Med High Med Low
• Using just 4 wavelength bands with tightly defined ranges, Chlorophyll a and b can easily be distinguished
• VideometerLab 3 uses 19 wavelength bands
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Multispectral Imaging
• Many images obtained at selective wavelength bands
• Each image pixel contains spectral data points
• Spectral signature reveals chemo-specific information
• See spatial location of surface chemical variation
Ultraviolet Near-Infrared
Infra-Red Red Yellow Green Blue Ultra-Violet
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VideometerLab 3 Schematic
• Narrowband illumination provided by 19 LEDs between 375nm-970nm (UV-Vis-VNIR)
• Integrating sphere diffuses light onto sample
• 2056x2056 CCD camera captures reflectance at each LED wavelength for each pixel
• Emission filter wheel for longpass/bandpass filtering
• Bright-field or dark-field lighting for translucency or diffuse scatter imaging
Camera
LEDs
Integrating sphere
Emission filter wheel
Sample
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VideometerLab 3 Schematic
• Precise lighting control for optimal illumination of each sample across whole spectrum
• Diffuse light on sample ensures even lighting from all directions
• Broadband camera spectrally and spatially calibrated (NIST)
• Emission filters enable multispectral reflectance and fluorescence imaging abilities
• Powerful, user-friendly image analysis and quantification software for data and modelling
Camera
LEDs
Integrating sphere
Emission filter wheel
Sample
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VideometerLab 3 Schematic
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MSI Analysis Process
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• The VideometerLab identifies the spectral signature of these sesame seeds
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MSI Analysis Process
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• The VideometerLab identifies the spectral signature of these sesame seeds
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MSI Analysis Process
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• It will then identify that there is something not matching the ‘sesame seed’ spectral signature in this mix
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MSI Analysis Process
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• It will then identify that there is something not matching the ‘sesame seed’ spectral signature in this mix
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MSI Analysis Process
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• Magnification of the previous image
1mm
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• A false colour image to aid visual assessment of chitting is simply four clicks of the mouse
Chitting
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• The dark spots on the right image are the beginning of the germination
Chitting
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• They can also be counted and analysed quantitively very easily. The image on the left has highlighted only areas of chitting
Chitting
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• Alternatively, the ratio of germinating to non-germinating seeds could be measured automatically
Chitting
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• The same types of analysis can be applied to rootlets
Rootlets
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• Acrospire modeling compares the length of the acrospire with the length of the seed, and in contrast to other methods only requires boiling the seed in water for ten minutes
Acrospire Length
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• Methods of estimating the ratio of embryo to husk in grist are time consuming
Grist \ Draff
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• The Videometer can tell between embryo and husk with almost perfect clarity in less than ten seconds
Grist \ Draff
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• The Videometer can quantify the important information clearly and precisely
Grist \ Draff
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Husk Area (mm2) Embryo Area (mm2) Ratio
3068 230 13.3
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• By masking out all non-data from an image, the Videometer can distinguish long, thin Durum from short, fat Mascot grains
Variety - Geometric
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• The table to the right shows some of the data which the Videometer uses to classify this mixed sample
Variety - Geometric
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• Alternatively, the Videometer can use spectral data to distinguish between UV-absorbent Optic (left) and UV-reflectent Concerto (right)
Variety - Spectral
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• The ‘redder’ a grain, the more likely it is to be Optic and the ‘bluer’ the more likely Concerto. The background has been arbitrarily coloured red
Variety - Spectral
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• This can also be quantified. In a real setting, you would use both spatial and spectral data to get the most accurate discrimination possible
Variety - Spectral
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Really… % Similarity Optic
% Similarity Concerto
Optic
97.25
2.75
Concerto
1.25
98.75
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• By teaching the Videometer the difference between a skinned and intact grain, it can instantly replace a labour-intensive application by quantifying the percentage of skinned grains
Skinning
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• Some details from the last slide
Skinning
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• Some of these grains have strange black tips, highlighted in the image on the right
Anomaly Analysis
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• Detail of the previous slide
Anomaly Analysis
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• This slide shows a quantification of the differences in the ultra-blue band between ‘normal grain’ and ‘black tip’
Anomaly Analysis
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• This graph is the full spectrum for the ‘normal grain’ (the two blue lines) and the ‘black tip’ (the red line), clearly showing the difference
Anomaly Analysis
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• This slide demonstrates how a false-colour image of fusarium-infected grains can help an operator determine the extent of the infection
Fusarium
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• A more systematic model has been developed by Videometer (in collaboration with the Carlsberg Research Institute) showing an impressive R2 value of 0.85 versus real-time PCR
Fusarium
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• Though the Videometer is a surface technique, it can quantify levels of hydration in grain with a small amount of sample preparation. Light blue areas are not hydrated
Hydration
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The Videometer is an excellent tool for many grain and seed applications, and can be used throughout the quality control and R&D cycle – from raw material intake to final product QC and lab analysis
Videometer can perform other roles too. If a feasibility study such as those shown here interest you, my contact details are on the next slide
Conclusions
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Contact
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analytikLtd
Adrian Waltho – Sales Specialist
Tel: +44 (0)870 991 4044 Fax: +44 (0)870 135 2488 Email: [email protected]
Barn B, 2 Cygnus Business Park, Middle Watch, Swavesey, Cambridgeshire, CB24 4AA
www.analytik.co.uk
