Videometer lab 3 multispectral imaging for rapid non destructive surface analysis
-
Upload
adriananalytik -
Category
Technology
-
view
101 -
download
8
description
Transcript of Videometer lab 3 multispectral imaging for rapid non destructive surface analysis
© analytikLtd
analytikLtd
VideometerLab 3 Multi-Spectral Imaging
Rapid Non-destructive Surface Analysis
Adrian Waltho, Analytik Ltd (Cambridge, UK)
www.analytik.co.uk/multispectral-imaging
Light reflectance surface mapping for accurate measurement of colour, texture,
shape, size and chemical composition
© analytikLtd
• Nuanced, human-like analysis of heterogeneous samples
• Objective, accurate, repeatable measurements
• Non-destructive analysis allows further sample assay work
• No sample preparation is required
• Rapid data acquisition and analysis allows high throughput screening
Why use Multispectral Imaging?
• Hybrid between spectroscopy and imaging
• Allows rapid, accurate and reproducible analysis of spectral AND spatial features including shape, colour, texture, size, surface chemistry and chemical composition
• The flexibility of the VideometerLab software unlocks many different application possibilities with the same hardware
• Advanced signal processing and statistical analysis algorithms allow fast, objective, repeatable, non-destructive analysis of any heterogeneous surface
Multispectral Imaging with VideometerLab 3
© analytikLtd
What makes the VideometerLab unique? • The VideometerLab 3 provides 90% of the
performance of a hyperspectral imaging system at a fraction of the cost
• VideometerLab’s patented LED illumination system ensures high signal to noise ratio across the UV-Vis-VNIR spectrum (375nm-970nm at spaced intervals)
• Hyperspectral systems use a broadband illumination source, with a fixed intensity at each wavelength. The detector sensitivity can’t be changed, forcing a compromise that doesn’t use the optimum sensitivity at any wavelength and results in poor signal to noise
• LED illumination allows precise control of lighting conditions at each chosen LED wavelength allowing tuneable optimised illumination for any given sample surface
© analytikLtd
• CIELab colour quantification and sRGB simulation under specified lighting conditions
• Contaminant detection and identification
• Concentration distribution heterogeneity of pharmaceutical API in tablets
• Corrosion quantification and grading of machinery parts
• Agar plate colony counting of multiple species simultaneously
• Forensic analysis of fingerprints, bloodstains, inks, powder residues and questioned documents
• Grain hydration and viability scoring
Multispectral Imaging Application Examples
© analytikLtd
Traditional colour imaging uses three broad bands of colour
Red, Green and Blue
Normal Colour Imaging
© 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
© analytikLtd
Multispectral Imaging
Many images obtained at many different wavelengths
Ultraviolet Near-Infrared
IR Red Yellow Green Blue UV
© 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
© analytikLtd
VideometerLab 3 Schematic Overview
• Narrowband illumination provided by 19 LEDs between 375-970nm
• Integrating sphere diffuses light onto sample
• 5Mp CCD camera captures reflectance data at each LED wavelength
• Optional emission filter wheel for fluorescence macro-imaging
• Optional bright-field or dark-field lighting for translucency or diffuse scattering imaging
CCD Camera
LEDs
Integrating sphere
© analytikLtd
VideometerLab 3 Schematic Overview
© analytikLtd
Sizing ring sRGB Watch sRGB
Perceptual Simulation • Here are standard-RGB (sRGB) images of a machine sizing ring and watch
strap as they appear in a normal photograph
• sRGB is the standard computer displays and printers use to render images
© analytikLtd
Perceptual Simulation • Human visual perception is well characterised
and understood
• Each sRGB pixel tri-value is calculated using the known %age reflectance values at wavelength bands within the visual range to render the image
• With 19 narrow-band reflectance values for each pixel, we have more detailed data than just 3 broad RGB values
• We can calculate the appearance of an object under any lighting condition
• Noon daylight
• Fluorescent light
• Tungsten bulbs
• We can also view the ‘appearance’ at just one wavelength in greyscale, where black = 0% reflectance, white = max reflectance
© analytikLtd
NIR 940nm Violet 405nm
Cyan 505nm
Yellow 570nm
Deep Red 780nm
© analytikLtd
NIR 940nm
Data Mining Images
• We can quickly gather more data on Regions of Interest (ROIs)
© analytikLtd
NIR 940nm
© analytikLtd
NIR 940nm
False-colour Image Enhancement
Each pixel’s grey-scale value represents %age reflectance black = 0% reflectance white = max (22.17% reflectance)
We can enhance contrast to our eyes using the ‘Jet’ false-colour scheme Blue = 0% reflectance Red = max (22.17% reflectance)
Jet NIR 940nm
© analytikLtd
Jet MNF Band 3
Image Data Statistical Transformation
Jet PCA Band 3
• Statistical data manipulation algorithms transform image data-cube to highlight spatial-spectral trends
• Mathematics born from satellite imaging and remote sensing field
• 19 Wavelength bands 19 Transformation bands
Minimum Noise Fraction (MNF) Principal Components Analysis (PCA)
© analytikLtd
MNF Band 3 PCA Band 3
MNF Band 4 PCA Band 4
MNF Band 5 PCA Band 5
© analytikLtd
Trained Image Data Transformation • Guided statistical transformations allow us to compare ROIs directly by
training the transformation algorithm on known data sets • Paint two known conditions to highlight training sets • All other pixels scored on their similarity to training set pixels • Pixel’s entire spectral identity incorporated into weighting parameters • nCDA – normalised Canonical Discrimination Analysis
Jet NIR 940nm
Paint ROIs
© analytikLtd
Trained Image Data Transformation
Jet NIR 940nm Jet nCDA transform
Blue = 0% 940nm reflectance Red = max 22.17% 940nm reflectance
Blue = pixels most like ROI 1 Red = pixels most like ROI 2
© analytikLtd
Trained Image Data Transformation • Guided nCDA transformations allow us to compare ROIs in
separate images • Sample comparisons • Time lapse studies • Quantifiable, objective and reproducible data for rapid
analysis in research projects
Jet NIR 940nm Jet NIR 940nm
© analytikLtd
Jet nCDA transform Jet nCDA transform
Trained Image Data Transformation
Blue = most like watch strap pixels Red = most like sizing ring ROI 2 pixels
© analytikLtd
Trained Image Data Transformation
• The trained discrimination algorithm has highlighted an area of blue-scoring pixels on the sizing ring (circled)
• This tells us something about a common chemical identity between the watch strap material and a defined region of the sizing ring surface
Multispectral Image Data Analysis • A variety of image processing
tools and multivariate statistical transforms are available in VideometerLab’s analysis software
• Analysis routines and models can be saved and applied to new samples
• Multiple routines can be run on the same image data to quantify separate parameters
• Routines can be batch-run to aid in high-throughput data acquisition
© analytikLtd
• Hardware options
• Emission Filter wheel (4 x 25mm Ø) for fluorescence macro-imaging
• Dark- or Bright-field backlighting for scattering or translucency analysis
• Vibratory feeder for automatic presentation of granular samples
• Software options
• Image Processing Toolbox for filtering and segmentation of image data in individual spectral bands
• Multispectral Imaging Toolbox for multi-variate image analysis and modelling
• Blob Toolbox for object separation, analysis and data output reporting
Hardware and Software Options
© analytikLtd
• Hardware warranty and Software support for one year included with purchase
• Software Support Hotline service for simple protocol development helps guide you through image analysis steps (more complicated protocol development is available as a paid service)
• Software updates released on a regular basis (daily build available)
• On site repair response in 3 days
Post Sales Support
© analytikLtd
• Nuanced, human-like analysis of heterogeneous samples
• Sophisticated data analysis tools for the novice and power user
• Objective, repeatable data collection with easy export
• Rapid, non-destructive testing with no sample preparation
VL3 Multispectral Imaging
Multispectral imaging at Analytik.co.uk
VL3 Datasheet PDF