Method for correcting a spectral image for optical aberrations using software

• US 20080059100A1
• Filed: 08/21/2007
• Published: 03/06/2008
• Est. Priority Date: 08/22/2006
• Status: Active Grant

• Current Assignee: Bayer Healthcare LLC (Bayer AG)
• Original Assignee: Bayer Healthcare LLC (Bayer AG)
• Inventors: Rebec, Mihailo, Smous, James, Houlne, Michael
• Granted Patent: US 7,705,980 B2
• Time in Patent Office: Days
• US Class Current: 702/104
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/14556 by fluorescence A61B5/14555 takes precedence
• CPC Class Codes: G01N 2021/6423 Spectral mapping, video display
• CPC Class Codes: G01N 21/6456 Spatial resolved fluorescence measurements; Imaging
• CPC Class Codes: G01N 21/65 Raman scattering

Abstract

A spectral image is corrected for optical aberrations. Tissue is exposed to a high-intensity, narrow band of light. The narrow band of light is scattered by at least one analyte in the tissue. Raman signals are optically collected from the scattered light. The Raman signals are directed to a wavelength-separating device. The Raman signals are detected as a function of intensity and wavelength to create the spectral image. The spectral image is corrected for optical aberrations using a software algorithm to spatially reassign intensity. The software may be adapted to use a reference image to make dynamic corrections. Fluorescence signals may also be collected.

Claims

1. A method for correcting a spectral image for optical aberrations, the method comprising the acts of:

exposing tissue to a high-intensity, narrow band of light, the narrow band of light being scattering by at least one analyte in the tissue;

optically collecting Raman signals from the scattered light;

directing the Raman signals to a wavelength-separating device;

detecting the Raman signals as a function of intensity and wavelength to create the spectral image; and

correcting the spectral image for optical aberrations using a software algorithm to spatially reassign intensity.

2. The method of claim 1, wherein the narrow band of light is a monochromatic light.

3. The method of claim 2, wherein the monochromatic light is from a laser.

4. The method of claim 1, wherein the narrow band of light is obtained from a polychromatic light source.

5. The method of claim 1, wherein the narrow band of light has a wavelength of from about 300 to about 5,000 nm.

6. The method of claim 5, wherein the narrow band of light has a wavelength of from about 800 to about 1,050 nm.

7. The method of claim 1, wherein the detecting of the Raman light includes using a multi-pixel detector.

8. The method of claim 1, wherein the wavelength-separating device is a defraction element.

9. The method of claim 1, wherein the wavelength-separating device is a filter.

10. A method for determining the concentration of at least one analyte in a fluid, the method comprising the acts of:

exposing skin tissue to a high-intensity, narrow band of light, the narrow band of light being scattering by at least one analyte in the tissue;

optically collecting the Raman signals from the scattered light;

directing the Raman signals to a wavelength-separating device;

detecting the Raman signals as a function of intensity and wavelength to create the spectral image;

correcting the spectral image for optical aberrations using a software algorithm to spatially reassign intensity; and

determining the concentration of the at least one analyte using the corrected spectral image.

11. The method of claim 10, wherein the analyte is glucose.

12. The method of claim 10, wherein the narrow band of light has a wavelength of from about 300 to about 5,000 nm.

13. The method of claim 12, wherein the narrow band of light has a wavelength of from about 800 to about 1,050 nm.

14. The method of claim 10, wherein the wavelength-separating device is a defraction element.

15. The method of claim 10, wherein the detecting of the Raman signals as a function of the intensity includes vertical binning.

16. A method for correcting a spectral image for optical aberrations using an instrument, the method comprising the acts of:

exposing tissue to a high-intensity band of light;

optically collecting an image of the tissue;

dynamically correcting the image using software to optically correct for at least one of the instrument and tissue; and

using information from the corrected image to perform a general diagnosis.

17. A method for correcting a spectral image for optical aberrations using an instrument, the method comprising the acts of:

exposing tissue to a high-intensity light, the light being scattering by at least one analyte in the tissue;

optically collecting fluorescence signals from the scattered light;

directing the fluorescence signals to a wavelength-separating device;

detecting the fluorescence signals as a function of intensity and wavelength to create the spectral image; and

correcting the spectral image for optical aberrations using a software algorithm to spatially reassign intensity.

18. The method of claim 17, wherein the high-intensity light has a wavelength of from about 300 to about 5,000 nm.

19. A method for correcting a spectral image for optical aberrations, the method comprising the acts of:

optically collecting Raman signals from the scattered light;

directing the Raman signals to a wavelength-separating device;

detecting the Raman signals as a function of intensity and wavelength to create the spectral image; and

correcting the spectral image for optical aberrations using a software algorithm to spatially reassign intensity.

20. A method for correcting a spectral image for optical aberrations using an instrument, the method comprising the acts of:

optically collecting fluorescence signals from the scattered light;

directing the fluorescence signals to a wavelength-separating device;

detecting the fluorescence signals as a function of intensity and wavelength to create the spectral image; and

correcting the spectral image for optical aberrations using a software algorithm to spatially reassign intensity.