Fluid analysis using digital imagery

• US 10,145,776 B2
• Filed: 04/12/2016
• Issued: 12/04/2018
• Est. Priority Date: 04/13/2015
• Status: Active Grant

• Current Assignee: Massachusetts Institute of Technology
• Original Assignee: Massachusetts Institute of Technology
• Inventors: Jain, Pranay, Sarma, Sanjay E.
• Primary Examiner(s): Atala, Jamie J
• Assistant Examiner(s): Abaza, Ayman A
• Application Number:
  US15/302,328
• Publication Number:
  US 20170131197A1
• Time in Patent Office: 966 Days
• Field of Search: 348135
• CPC Class Codes: G01N 15/0227 using imaging; using holography
• CPC Class Codes: G01N 15/06 Investigating concentration of particle suspensions by weighing G01N5/00; investigating sedimentation of particle suspensions G01N15/04; investigating individual particles G01N15/10
• CPC Class Codes: G01N 15/075 by optical means
• CPC Class Codes: G01N 2015/03 Electro-optical investigation of a plurality of particles, the analyser being characterised by the optical arrangement
• CPC Class Codes: G01N 2021/513 Cuvettes for scattering measurements
• CPC Class Codes: G01N 2021/5957 using an image detector type detector, e.g. CCD
• CPC Class Codes: G01N 21/00 Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light G01N3/00 - G01N19/00 take precedence
• CPC Class Codes: G01N 21/51 inside a container, e.g. in an ampoule G01N21/53 takes precedence
• CPC Class Codes: G01N 21/59 Transmissivity G01N21/25 takes precedence
• CPC Class Codes: G01N 33/06 Determining fat content, e.g. by butyrometer
• CPC Class Codes: G01N 33/14 Beverages
• CPC Class Codes: H04N 23/51 Housings
• CPC Class Codes: H04N 23/56 provided with illuminating means
• CPC Class Codes: H04N 23/74 by influencing the scene brightness using illuminating means
• CPC Class Codes: H04N 23/81 for suppressing or minimising disturbance in the image signal generation
• CPC Class Codes: H04N 5/213 Circuitry for suppressing or minimising impulsive noise for suppressing or minimising disturbance in image signal generation H04N23/81
• CPC Class Codes: H04N 7/183 for receiving images from a single remote source

Abstract

A system for analyzing fluid includes a housing having first and second opposing surfaces spaced to form a fluid chamber, a light source disposed to direct light at the first surface of the housing; and a digital imaging circuit disposed to detect light at the second surface of the housing. The digital imaging circuit includes a pixel array configured to capture one or more digital images of an illuminated fluid. The system also includes a processor configured to: capture multiple digital images of the fluid at different camera exposure levels, calculate a net radiant energy value at a plurality of different integration times within at least two images, calculate a slope of the net radiant energy value with respect to integration time in a selected image, and determine size distribution and volume fraction of particles within the fluid based on the calculated slope.

Claims

1. A system for analyzing fluid comprising:

a housing having first and second opposing surfaces spaced to form a fluid chamber;

a light source disposed to direct light at the first surface of the housing;

a digital imaging circuit disposed to detect light at the second surface of the housing, said digital imaging circuit having a pixel array configured to capture one or more digital images of an illuminated fluid; and

a processor configured to;

capture multiple digital images of the light through the fluid at different camera exposure levels;

calculate a net radiant energy value at each of a plurality of different integration times within at least two images;

calculate a slope of the net radiant energy values with respect to integration time in a selected image; and

determine a particle size distribution and volume fraction of particles within the fluid based on the calculated slope.

2. The system of claim 1 wherein the processor is further configured to determine a property of the fluid based on a predetermined range of particle sizes.

3. The system of claim 2 wherein the fluid is milk and the property is a fat and/or protein content.

4. The system of claim 1 wherein the opposing surfaces are clear.

5. The system of claim 1 wherein at least one of the opposing surfaces comprises a light filter.

6. The system of claim 1 wherein the light source comprises one or more of a laser diode, an LED, an incandescent lamp, and/or a halogen/mercury lamp.

7. The system of claim 1 wherein the system includes a lens positioned to focus an image of the light on the pixel array.

8. The system of claim 1 wherein the processor is further configured to filter noise from the digital images.

9. The system of claim 8 wherein the processor is configured to filter the noise by averaging pixel readings at each radial distance from a center of the digital images.

10. The system of claim 1 wherein calculating the net radiant energy value includes performing a sum or integration of pixel readings of the digital images.

11. The system of claim 1 wherein the processor is configured to calculate a logarithmic parameter of the digital images.

12. The system of claim 11 wherein the processor is configured to calculate the logarithmic parameter by calculating a standard deviation of pixel readings in each digital image and performing a best logarithmic fit of the standard deviation values with respect to integration time.

13. The system of claim 1 wherein the processor is configured to control the light source.

14. The system of claim 1 wherein light source comprises multiple light sources and the processor is configured to capture the digital images illuminated by one or more of the multiple light sources.

15. The system of claim 1 wherein the processor is further configured to perform regression analysis using one or more regression models and the calculated slope to compute particle size distribution and volume fraction of the fluid sample.

16. The system of claim 15 wherein the processor is configured to compute a logarithmic parameter for use in the one or more regression models.

17. A method for analyzing a fluid comprising:

illuminating a fluid sample with a light source;

capturing, with a digital camera circuit, a plurality of digital images of the illuminated fluid sample at different camera exposure levels;

calculating, with a processing circuit, a net radiant energy value at each of a plurality of different integration times within at least two images;

calculating, with the processing circuit, a slope of the net radiant energy values with respect to integration time in a selected image;

determining a size distribution of particles within the fluid sample based on the calculated slope.

18. The method of claim 17 further comprising determining a property of a fluid based on the predetermined particle size.

19. The method of claim 18 wherein the fluid is milk and the property is a fat and/or protein content.

20. The method of claim 17 further comprising pumping the fluid sample into a housing having a chamber between two opposing, clear surfaces.

21. The method of claim 20 wherein at least one of the surfaces comprises a light filter.

22. The method of claim 17 wherein the light source comprises one or more of a laser diode, an LED, an incandescent lamp, and/or a halogen/mercury lamp.

23. The method of claim 17 further comprising positioning a lens to focus an image of fluid on the pixel array.

24. The method of claim 17 further comprising filtering noise from the digital images.

25. The method of claim 24 wherein filtering the noise includes averaging pixel readings at each radial distance from a center of the digital images.

26. The method of claim 17 wherein calculating the net radiant energy value includes performing a sum or integration of pixel readings of the digital images.