Multispectral Imaging of Grains and Seeds with VideometerLab 3
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The document discusses the capabilities of the VideometerLab 3, a multi-spectral imaging system designed for grain and seed analysis. It highlights how the system uses 19 wavelength bands to discern spectral signatures of seeds, aiding in the classification and quantification of various seed properties, including germination and anomalies. The Videometer offers significant advantages over traditional methods by providing rapid and precise analysis throughout the quality control and research cycle.
Multispectral Imaging of Grains and Seeds with VideometerLab 3
- 1. © analytikLtd analytikLtd VideometerLab 3 Multi-Spectral Imaging System MSI for Grain and Seed Analysis www.analytik.co.uk
- 2. © analytikLtd Traditional colour imaging uses three broad bands of colour: Red, Green and Blue Normal Colour Imaging
- 3. © analytikLtd 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
- 4. © analytikLtd 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
- 5. © analytikLtd 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
- 6. © analytikLtd 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
- 7. © analytikLtd 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
- 8. © analytikLtd VideometerLab 3 Schematic
- 9. © analytikLtd MSI Analysis Process Back to Index • The VideometerLab identifies the spectral signature of these sesame seeds
- 10. © analytikLtd MSI Analysis Process Back to Index • The VideometerLab identifies the spectral signature of these sesame seeds
- 11. © analytikLtd MSI Analysis Process Back to Index • It will then identify that there is something not matching the ‘sesame seed’ spectral signature in this mix
- 12. © analytikLtd MSI Analysis Process Back to Index • It will then identify that there is something not matching the ‘sesame seed’ spectral signature in this mix
- 13. © analytikLtd MSI Analysis Process Back to Index • Magnification of the previous image 1mm
- 14. © analytikLtd • A false colour image to aid visual assessment of chitting is simply four clicks of the mouse Chitting Back to Index
- 15. © analytikLtd • The dark spots on the right image are the beginning of the germination Chitting Back to Index
- 16. © analytikLtd • They can also be counted and analysed quantitively very easily. The image on the left has highlighted only areas of chitting Chitting Back to Index
- 17. © analytikLtd • Alternatively, the ratio of germinating to non-germinating seeds could be measured automatically Chitting Back to Index
- 18. © analytikLtd • The same types of analysis can be applied to rootlets Rootlets Back to Index
- 19. © analytikLtd • 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 Back to Index
- 20. © analytikLtd • Methods of estimating the ratio of embryo to husk in grist are time consuming Grist Draff Back to Index
- 21. © analytikLtd • The Videometer can tell between embryo and husk with almost perfect clarity in less than ten seconds Grist Draff Back to Index
- 22. © analytikLtd • The Videometer can quantify the important information clearly and precisely Grist Draff Back to Index Husk Area (mm2) Embryo Area (mm2) Ratio 3068 230 13.3
- 23. © analytikLtd • By masking out all non-data from an image, the Videometer can distinguish long, thin Durum from short, fat Mascot grains Variety - Geometric Back to Index
- 24. © analytikLtd • The table to the right shows some of the data which the Videometer uses to classify this mixed sample Variety - Geometric Back to Index
- 25. © analytikLtd • Alternatively, the Videometer can use spectral data to distinguish between UV-absorbent Optic (left) and UV-reflectent Concerto (right) Variety - Spectral Back to Index
- 26. © analytikLtd • 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 Back to Index
- 27. © analytikLtd • 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 Back to Index Really… % Similarity Optic % Similarity Concerto Optic 97.25 2.75 Concerto 1.25 98.75
- 28. © analytikLtd • 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 Back to Index
- 29. © analytikLtd • Some details from the last slide Skinning Back to Index
- 30. © analytikLtd • Some of these grains have strange black tips, highlighted in the image on the right Anomaly Analysis Back to Index
- 31. © analytikLtd • Detail of the previous slide Anomaly Analysis Back to Index
- 32. © analytikLtd • This slide shows a quantification of the differences in the ultra-blue band between ‘normal grain’ and ‘black tip’ Anomaly Analysis Back to Index
- 33. © analytikLtd • 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 Back to Index
- 34. © analytikLtd • This slide demonstrates how a false-colour image of fusarium-infected grains can help an operator determine the extent of the infection Fusarium Back to Index
- 35. © analytikLtd • 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 Back to Index
- 36. © analytikLtd • 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 Back to Index
- 37. © analytikLtd 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 Back to Index
- 38. © analytikLtd Contact Back to Index analytikLtd Adrian Waltho – Sales Specialist Tel: +44 (0)870 991 4044 Fax: +44 (0)870 135 2488 Email: adrian.waltho@analytik.co.uk Barn B, 2 Cygnus Business Park, Middle Watch, Swavesey, Cambridgeshire, CB24 4AA www.analytik.co.uk