Method and apparatus for performing qualitative and quantitative analysis of produce (fruit, vegetables) using spatially structured illumination

• US 8,014,569 B2
• Filed: 10/29/2007
• Issued: 09/06/2011
• Est. Priority Date: 10/30/2006
• Status: Active Grant

• Current Assignee: Regents of the University of California (University of California)
• Original Assignee: Regents of the University of California (University of California)
• Inventors: Durkin, Anthony J., Tromberg, Bruce J., Bevilacqua, Frederic, Cuccia, David
• Primary Examiner(s): CHANG, JON CARLTON
• Application Number:
  US11/927,396
• Publication Number:
  US 20080101657A1
• Time in Patent Office: 1,408 Days
• Field of Search: 382/110, 356/603, 356/604, 356/610, 356/301, 356/337, 356/947, 356/432
• US Class Current: 382/110
• CPC Class Codes: G01J 3/02 Details
• CPC Class Codes: G01J 3/021 using plane or convex mirrors, parallel phase plates, or particular reflectors
• CPC Class Codes: G01J 3/10 Arrangements of light sources specially adapted for spectrometry or colorimetry
• CPC Class Codes: G01J 3/32 Investigating bands of a spectrum in sequence by a single detector
• CPC Class Codes: G01J 3/4412 Scattering spectrometry particle sizing by light scattering G01N15/0205; optical velocimetry of particles G01P5/20, G01P5/26
• CPC Class Codes: G01N 2021/1787 Tomographic, i.e. computerised reconstruction from projective measurements
• CPC Class Codes: G01N 2021/6421 Measuring at two or more wavelengths
• CPC Class Codes: G01N 21/4795 spatially resolved investigating of object in scattering medium in vivo A61B
• CPC Class Codes: G01N 21/6456 Spatial resolved fluorescence measurements; Imaging
• CPC Class Codes: G01N 21/6486 Measuring fluorescence of biological material, e.g. DNA, RNA, cells G01N21/6428 takes precedence
• CPC Class Codes: G01N 21/94 Investigating contamination, e.g. dust G01N21/85 takes precedence
• CPC Class Codes: G01N 33/025 Fruits or vegetables

Abstract

A method and an apparatus for noninvasively and quantitatively determining spatially resolved absorption and reduced scattering coefficients over a wide field-of-view of a food object, including fruit or produce, uses spatial-frequency-domain imaging (SFDI). A single modulated imaging platform is employed. It includes a broadband light source, a digital micromirror optically coupled to the light source to control a modulated light pattern directed onto the food object at a plurality of selected spatial frequencies, a multispectral camera for taking a spectral image of a reflected modulated light pattern from the food object, a spectrally variable filter optically coupled between the food object and the multispectral camera to select a discrete number of wavelengths for image capture, and a computer coupled to the digital micromirror, camera and variable filter to enable acquisition of the reflected modulated light pattern at the selected spatial frequencies.

Claims

1. An improvement in grading or assessing produce, fruit or vegetables comprising:

noninvasively and quantitatively determining spatially resolved absorption and reduced scattering coefficients over a wide field-of-view of a food object using spatial-frequency-domain imaging (SFDI); and

simultaneously imaging fluorophore spectral characteristics of the food object.

2. The method of claim 1 further comprising imaging to identify surface characteristics or depth sectioned imaging of subsurface characteristics of the food object.

3. The method of claim 2 where depth sectioned imaging comprises assessing depth sensitivity as a function of source spatial frequency, wavelength selection and/or amplitude modulation to provide subsurface imaging/tomography.

4. The method of claim 1 further comprising imaging to identify surface characteristics and depth sectioned imaging of subsurface characteristics of the food object.

5. The method of claim 1 further comprising separating average background optical properties from heterogeneity components from a single image of the food object.

6. The method of claim 1 further comprising separating average background fluorescence from a target fluorescence feature using selection of spatial frequency of illumination from a single image of the food object.

7. The method of claim 1 further comprising separating a superficial fluorescent feature from a deep fluorescent feature based on selection of spatial frequency of illumination from a single image of the food object.

8. The method of claim 1 where quantitatively determining spatially resolved absorption and reduced scattering coefficients comprises quantitative fluorescence imaging to deconvolve the effects of scattering and absorption from fluorophore spectra.

9. The method of claim 1 where quantitatively determining spatially resolved absorption and reduced scattering coefficients over a wide field-of-view of a food object comprises performing both diffuse optical tomography and rapid, wide-field quantitative mapping of optical properties within a single measurement platform.

10. The method of claim 1 where quantitatively determining spatially resolved absorption and reduced scattering coefficients over a wide field-of-view of a food object further comprises determining therefrom pulp firmness, sugar content, bruise sensitivity, or fecal contamination of the food object.

11. The method of claim 1 where quantitatively determining spatially resolved absorption and reduced scattering coefficients over a wide field-of-view of a food object further comprises quantitatively determining severity of bruising in the food object by quantitative assessment of the mean scattering coefficient of a bruised region.

12. An apparatus for noninvasively and quantitatively determining spatially resolved absorption and reduced scattering coefficients over a wide field-of-view of a food object, including fruit or produce, using spatial-frequency-domain imaging (SFDI) comprising a single modulated imaging platform comprising:

a light source comprising a preselected spectral domain;

a digital micromirror optically coupled to the light source to control a modulated light pattern directed onto the food object at a plurality of selected spatial frequencies;

a multispectral camera for taking a spectral image of a reflected modulated light pattern from the food object;

a spectrally variable filter optically coupled between the food object and the multispectral camera to select a discrete number of wavelengths for image capture; and

a computer coupled to the digital micromirror, camera and variable filter to enable acquisition of the reflected modulated light pattern at the selected spatial frequencies, wherein the computer controls the digital micromirror camera and variable filter to simultaneously image fluorophore spectral characteristics of the food object.

13. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to identify surface characteristics or depth sectioned imaging of subsurface characteristics of the food object.

14. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to separate average background optical properties from heterogeneity components from a single image of the food object.

15. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to separate average background fluorescence from a target fluorescence feature using selection of spatial frequency of illumination from a single image of the food object.

16. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to separate a superficial fluorescent feature from a deep fluorescent feature based on selection of spatial frequency of illumination from a single image of the food object.

17. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to assess depth sensitivity as a function of source spatial frequency, wavelength selection and/or amplitude modulation to provide subsurface imaging/tomography.

18. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to deconvolve the effects of scattering and absorption from fluorophore spectra.

19. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to perform both diffuse optical tomography and rapid, wide-field quantitative mapping of optical properties within a single measurement platform.

20. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to determine pulp firmness, sugar content, bruise sensitivity, or fecal contamination of the food object.

21. The apparatus of claim 12 where the computer controls the digital micromirror, camera and variable filter to determine severity of bruising in the food object by quantitative assessment of the mean scattering coefficient of a bruised region.

22. The apparatus of claim 12 where the apparatus is arranged and configured to be field deployable to assess the food object in the field.