Development of broadband multispectral imaging for ... · Spot size analysis of diary products 500...

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Development of broadband multispectral imaging for analysis of dairy products Ph.D. student Otto H. A. Nielsen Technical University of Denmark, department of Informatics Centre for imaging food quality (CIFQ) VideoMeter NKT - photonics DANISCO Photonex 2010 conference on spectral imaging 3 th November 2010 DTU - Informatics 1/18

Transcript of Development of broadband multispectral imaging for ... · Spot size analysis of diary products 500...

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Development of broadband multispectral imaging

for analysis of dairy products

Ph.D. student Otto H. A. Nielsen

Technical University of Denmark, department of InformaticsCentre for imaging food quality (CIFQ)

VideoMeterNKT - photonics

DANISCO

Photonex 2010 conference on spectral imaging3th November 2010

DTU - Informatics 1/18

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Outline

1 SLS based hyperspectral imaging

2 Illumination system

3 Preliminary results

4 Outlook

DTU - Informatics 2/18

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Outline

1 SLS based hyperspectral imaging

2 Illumination system

3 Preliminary results

4 Outlook

DTU - Informatics 3/18

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Spectral imaging for food diagnostics

DTU - Informatics 4/18

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Spectral imaging for food diagnostics

Vision systems

Structural sampleinformation

Characterisation ofbiological samples

Spectroscopy

Chemical analysis

DTU - Informatics 4/18

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Spectral imaging for food diagnostics

Vision systems

Structural sampleinformation

Characterisation ofbiological samples

Spectroscopy

Chemical analysis

Advantages for food analysis:

Fast

Non-invasive

⇒ Suitable for in line process inspection

DTU - Informatics 4/18

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Inspection method for homogeneous products milk,

cream, yoghurt etc.

Illumination sources, a collimated beamSub surface light scattering (SLS)

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Inspection method for homogeneous products milk,

cream, yoghurt etc.

Illumination sources, a collimated beamSub surface light scattering (SLS)

Scattering of biologicalparticles is described myLorentz-Mie theory.

DTU - Informatics 5/18

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Inspection method for homogeneous products milk,

cream, yoghurt etc.

Illumination sources, a collimated beamSub surface light scattering (SLS)

Scattering of biologicalparticles is described myLorentz-Mie theory.

Can determine:

Particle size

Particle concentration

Light absorption

Light scattering

DTU - Informatics 5/18

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Previous measurements performed by Danisco1.

1On-line monitoring of food processes using subsurface laser scatteringDTU - Informatics 6/18

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Previous measurements performed by Danisco1.

1On-line monitoring of food processes using subsurface laser scatteringDTU - Informatics 6/18

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Previous measurements performed by Danisco1.

The structure of the sample relates it’s optical properties. Thecharacterisation method will be described later.

1On-line monitoring of food processes using subsurface laser scatteringDTU - Informatics 6/18

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Outline

1 SLS based hyperspectral imaging

2 Illumination system

3 Preliminary results

4 Outlook

DTU - Informatics 7/18

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Illumination source

Light generation with a broad spectral profile

SuperK light source

Produces a bright output from 500 nm to 2500 nm, and the beamrequires optical filtering to be used in spectral imaging.

DTU - Informatics 8/18

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Optical filtering ⇒ hyperspectral beam

Acousto-optical tunable filter (AOTF)

Can cover the spectrum from500 nm to 2500 nm with twoAOTF crystals

Returns two beams, one with visible light and a one for the NIR.

DTU - Informatics 9/18

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Optical filtering ⇒ hyperspectral beam

Acousto-optical tunable filter (AOTF)

Can cover the spectrum from500 nm to 2500 nm with twoAOTF crystals

Returns two beams, one with visible light and a one for the NIR.

DTU - Informatics 9/18

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Final light delivery

The light is delivered using an micro structured fiber (LMA5).

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Schematically setup

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Schematically setup

Novel features of the illuminations system

An small fibre output → easy to handle

Collimated Gaussian beam → simple scattering pattern

Broad spectral range (500 nm to 900 nm) → chemicalspecificity

Fast switching of wavelengths → usable for industrialinspection

DTU - Informatics 11/18

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Outline

1 SLS based hyperspectral imaging

2 Illumination system

3 Preliminary results

4 Outlook

DTU - Informatics 12/18

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Image example with whole milk, λ = 670 nm

DTU - Informatics 13/18

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Image example with whole milk, λ = 670 nm

DTU - Informatics 13/18

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Image example with whole milk, λ = 670 nm

The scattering can be characterised by the slope of the loglogcurve and the spot size of the saturated.

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SLS slope characteristics of diary products

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Skimmed milk 0.5 %letmælk 1.5%Whole milk 3%

Can discriminate betweenproducts of different fat contents.

DTU - Informatics 14/18

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SLS slope characteristics of diary products

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Skimmed milk 0.5 %letmælk 1.5%Whole milk 3%

Can discriminate betweenproducts of different fat contents.

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Different slope for same fatcontents

DTU - Informatics 14/18

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Spot size analysis of diary products

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DTU - Informatics 15/18

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Spot size analysis of diary products

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Spot size analysis of diary products

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yoghurt 3 % fatCream 9 % fatCream 18 % dilutedCream 18 % fat

Line crossings at long wave lengths, showing interesting features.

DTU - Informatics 15/18

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Outline

1 SLS based hyperspectral imaging

2 Illumination system

3 Preliminary results

4 Outlook

DTU - Informatics 16/18

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Future implementations

Analyse products with simple changes (fat contents andparticle size). Make correlation between the SLS spectrumand the food property based on statistical models.

Combining the illumination system with a robot to move thefibre. This will make it possible to examine non symmetricscattering distribution and surface reflection.

Perform instrument independent characterisation of thesamples intrinsic scattering parameters.

DTU - Informatics 17/18

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Acknowledgements

The work presented is sponsored by the The Danish Council forStrategic Research

Coworkers:

Anders Dahl - post.doc. DTU IMM - projectguidance and data analysis

Videometer - imaging equipment and dataanalysis

NKT photonics - construction and tuning of theillumination system

Danisco - introduction to food analysis

DTU - Informatics 18/18