Spectral imaging of biological samples

• US 8,879,812 B2
• Filed: 01/17/2014
• Issued: 11/04/2014
• Est. Priority Date: 09/23/2003
• Status: Expired due to Term

• Current Assignee: Cambridge Research & Instrumentation Incorporated (Revvity, Inc.)
• Original Assignee: Cambridge Research & Instrumentation Incorporated (Revvity, Inc.)
• Inventors: Levenson, Richard, Cronin, Paul J., Gossage, Kirk William, Hoyt, Clifford C.
• Primary Examiner(s): Koval, Melissa
• Assistant Examiner(s): NGUYEN, TRUNG Q
• Application Number:
  US14/157,662
• Publication Number:
  US 20140134713A1
• Time in Patent Office: 291 Days
• Field of Search: 600/476, 600/407, 600/473, 600/328, 600/475, 600/309, 382/128, 382/133, 382/130, 356/432, 356/433, 356/440
• US Class Current: 382/128
• CPC Class Codes: A61B 2562/0242 for varying or adjusting the optical path length in the tissue
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: B82Y 10/00 Nanotechnology for information processing, storage or transmission, e.g. quantum computing or single electron logic
• CPC Class Codes: B82Y 5/00 Nanobiotechnology or nanomedicine, e.g. protein engineering or drug delivery
• CPC Class Codes: G01J 3/32 Investigating bands of a spectrum in sequence by a single detector
• CPC Class Codes: G01J 3/4406 Fluorescence spectrometry
• CPC Class Codes: G01J 3/453 by correlation of the amplitudes
• CPC Class Codes: G01N 21/6428 Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" in vivo A61B5/00; immunoassay G01N33/53
• CPC Class Codes: G01N 21/6456 Spatial resolved fluorescence measurements; Imaging
• CPC Class Codes: G01N 33/5091 for testing the pathological state of an organism

Abstract

The invention features a method including: (i) providing spectrally resolved information about light coming from different spatial locations in a sample comprising deep tissue in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; (ii) decomposing the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and (iii) constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components.

Claims

1. An apparatus comprising:

a sample holder configured to support a deep tissue sample;

an illumination source to illuminate the sample;

a detector positioned to detect light from the sample; and

an electronic processor coupled to the detector, wherein the electronic processor is configured to;

(i) provide spectrally resolved information about light coming from different spatial locations of a sample, wherein the light includes contributions from different components in the sample;

(ii) decompose at least some of the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and

(iii) construct a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components,

wherein the processor determines at least a first one of the spectral estimates for a first one of the components from at least part of the spectrally resolved information using an unsupervised classification technique.

2. The apparatus of claim 1, further comprising a spectral filtering means positioned between the sample and the detector.

3. The apparatus of claim 2, wherein the spectral filtering means comprises a liquid crystal tunable spectral filter, an acousto-optical tunable spectral filter, a set of spectral filters, a spectral filter wheel, a dispersive prism, a grating, a spectrometer, or a monochromator.

4. The apparatus of claim 1, further comprising a spectral filtering means positioned between the illumination source and the sample.

5. The apparatus of claim 1, wherein the illumination source provides tunable excitation light.

6. The apparatus of claim 2, wherein the electronic processor is configured to provide spectrally resolved information that comprises information about a set of images in which the light coming from the sample is spectrally filtered by the spectral filtering means, wherein the spectral filtering for each image corresponds to a different spectral weighting function.

7. The apparatus of claim 4, wherein the electronic processor is configured to provide spectrally resolved information that comprises information about a set of images in which light used to illuminate the sample is spectrally filtered by the spectral filtering means, wherein the spectral filtering for each image corresponds to a different spectral weighting function.

8. The apparatus of claim 6, wherein the different spatial locations correspond to common pixels in the set of images.

9. The apparatus of claim 8, wherein the information about the set of images comprises a series of values at each of the pixels, wherein each value is related to an intensity of the light coming from the sample with respect to a corresponding one of the spectral weighting functions.

10. The apparatus of claim 1, wherein the electronic processor is configured to provide spectrally resolved information for each spatial location that comprises information corresponding to at least three different spectral weighting functions.

11. The apparatus of claim 1, wherein the electronic processor is configured to provide spectrally resolved information comprising fluorescence from the sample.

12. The apparatus of claim 1, wherein at least one of the components relates to autofluorescence.

13. The apparatus of claim 1, wherein at least one of the components comprises a target compound, and wherein the selected component is the component comprising the target compound.

14. The apparatus of claim 1, wherein the electronic processor is configured to construct a deep tissue image comprising an image in which signal from the other components is reduced relative to signal from the selected component.

15. The apparatus of claim 1, wherein at least one of the spectral estimates is an estimate of a pure spectrum for one of the components.

16. The apparatus of claim 15, wherein the pure spectrum for the one of the components corresponds to the spectrally resolved information that would result if only the one component contributes to the light.

17. The apparatus of claim 1, wherein the electronic processor is configured to construct the deep tissue image based on the contributions at different spatial locations of the first one of the spectral estimates associated with the first one of the components.

18. The apparatus of claim 1, wherein the electronic processor is configured to determine all of the spectral estimates from the spectrally resolved information by using the unsupervised classification technique.

19. The apparatus of claim 1, wherein the unsupervised classification technique comprises averaging the spectrally resolved information for multiple ones of the spatial locations.

20. The apparatus of claim 1, wherein the electronic processor is configured to determine the at least a first one of the spectral estimates for the first one of the components from spectrally resolved information for a first set of one or more spatial locations in which the light includes contributions from multiple ones of the components.

21. The apparatus of claim 20, wherein the electronic processor is configured to determine the at least a first one of the spectral estimates by calculating a remainder spectrum based on the spectrally resolved information for the first set of spatial locations and a second one of the spectral estimates for a second one of the components.

22. The apparatus of claim 20, wherein the electronic processor is configured to determine the at least a first one of the spectral estimates by adjusting values corresponding to the spectrally resolved information for the first set of spatial locations to remove a contribution from the second component based on the spectral estimate for the second component.

23. The apparatus of claim 22, wherein the removed contribution is a maximal contribution, and wherein the electronic processor is configured to determine the maximal contribution based on an error function analysis of signal in each spectral channel of the adjusted values.

24. The apparatus of claim 22, wherein the values comprises a series of at least some of the values for each of the spatial locations in the first set, and wherein the electronic processor is configured to remove the contribution from the second component based on the spectral estimate for the second component by subtracting an optimized quantity of the spectral estimate for the second component from each of the series of values.

25. The apparatus of claim 24, wherein the electronic processor is configured to determine the optimized quantity for at least a first of the series of values by minimizing an error function of a difference spectrum that includes a difference between the first series values and the quantity to be optimized multiplied by the spectral estimate for the second component, wherein the error function is minimized over the first series of values.

26. The apparatus of claim 25, wherein the error function comprises (e⁻

Δ

+1)Δ

², where Δ

is the difference spectrum.

27. An apparatus comprising:

a sample holder configured to support a sample;

an illumination source to illuminate the sample;

a detector positioned to detect light from the sample; and

an electronic processor coupled to the detector, wherein the electronic processor is configured to;

(i) provide spectrally resolved information about light coming from different spatial locations of a sample, wherein the light includes contributions from different components in the sample;

(ii) decompose at least some of the spectrally resolved information for each of at least some of the different spatial locations into a contribution from a spectral estimate of a pure spectrum for at least a first one of the components in the sample; and

(iii) construct an image of the sample based on the decomposition to preferentially show a selected one of the components, wherein the processor derives the estimate of the pure spectrum for the first component from at least part of the spectrally resolved information corresponding to a first set of one or more of the different spatial locations and a spectral estimate of a pure spectrum for a second one of the components by using an unsupervised classification technique.

28. The apparatus of claim 27, wherein the electronic processor is configured to decompose the at least some of the spectrally resolved information by decomposing the spectrally resolved information for each of the at least some of the different spatial locations into contributions from estimates of pure spectra for at least some of the components in the sample.

29. The apparatus of claim 27, wherein the pure spectrum for the first component corresponds to the spectrally resolved information that would result if only the first component contributes to the light.

30. The apparatus of claim 27, wherein electronic processor is configured to determine the spectral estimate of the pure spectrum for the second component from the spectrally resolved information by using the unsupervised classification technique.

31. The apparatus of claim 27, wherein the electronic processor is configured to perform the unsupervised classification technique by averaging the spectrally resolved information for multiple ones of the spatial locations.

32. The apparatus of claim 27, wherein the spatial locations in the first set are spatial locations in which the light includes contributions from multiple ones of the components.

33. The apparatus of claim 27, wherein the electronic processor is configured to derive the spectral estimate of the pure spectrum for the first component by calculating a remainder spectrum based on the spectrally resolved information from the first set and the spectral estimate for the second component.

34. The apparatus of claim 33, wherein the electronic processor is configured to calculate the remainder spectrum at each of one or more of the spatial locations in the first set of spatial locations.

35. The apparatus of claim 27, wherein the electronic processor is configured to derive the spectral estimate of the pure spectrum for the first component by adjusting values corresponding to the spectrally resolved information for the first set of spatial locations to remove a contribution from the second component based on the spectral estimate for the second component.

36. The apparatus of claim 35, wherein the removed contribution is a maximal contribution, and wherein the electronic processor is configured to determine the maximal contribution based on an error function analysis of the signal in each spectral channel of the adjusted values.

37. The apparatus of claim 35, wherein the values comprises a series of at least some of the values for each of the spatial locations in the first set, and wherein the electronic processor is configured to remove the contribution from the second component based on the spectral estimate for the second component by subtracting an optimized quantity of the spectral estimate for the second component from each of the series of values.

38. The apparatus of claim 37, wherein the electronic processor is configured to determine the optimized quantity for at least a first of the series of values by minimizing an error function of a difference spectrum that includes a difference between the first series values and the quantity to be optimized multiplied by the spectral estimate for the second component, wherein the error function is minimized over the first series of values.

39. The apparatus of claim 27, further comprising at least one of:

a spectral filtering means positioned between the sample and the detector and configured to spectrally filter the light coming from the sample; and

a spectral filtering means positioned between the illumination source and the sample and configured to spectrally filter light used to illuminate the sample,

so that the spectrally resolved information comprises information about a set of images and the spectral filtering for each image corresponds to a different spectral weighting function.

40. The apparatus of claim 39, wherein the different spatial locations correspond to common pixels in the set of images.

41. The apparatus of claim 40, wherein the information about the set of images comprises a series of values at each of the pixels, wherein each value is related to an intensity of the light coming from the sample with respect to a corresponding one of the spectral weighting functions.

42. The apparatus of claim 27, wherein the light coming from the sample comprises fluorescence from the sample.

43. The apparatus of claim 27, wherein at least one of the components relates to autofluorescence.

44. The apparatus of claim 27, wherein at least one of the components comprises a target compound, and wherein the selected component is the component comprising the target compound.

45. The apparatus of claim 27, wherein the image of the selected component comprises an image in which signal from the other components is reduced relative to signal from the selected component.

46. The apparatus of claim 27, wherein the electronic processor is further configured to construct a second image of the sample based on the decomposition to preferentially show a second one of the components.

47. An apparatus comprising:

a sample holder;

an illumination source to illuminate the sample;

a detector positioned to detect light from the sample; and

an electronic processor coupled to the detector, wherein the electronic processor is configured to;

(i) provide spectrally resolved information about light coming from different spatial locations of a sample, wherein the light includes contributions from different components in the sample;

(ii) decompose at least some of the spectrally resolved information for each of at least some of the different spatial locations into contributions from spectral estimates associated with at least some of the components in the sample; and

(iii) construct an image of the sample based on the decomposition to preferentially show a selected one of the components, wherein the decomposition by the electronic processor comprises a first decomposition of the spectrally resolved information at multiple spatial locations into contributions from initial spectral estimates associated with at least some of the components in the sample, improving an accuracy of at least some of the initial spectral estimates based on the first decomposition, and at least a second decomposition of the spectrally resolved information at multiple spatial locations into contributions from the improved spectral estimates.

48. The apparatus of claim 47, further comprising a spectral filtering means positioned between the sample and the detector.

49. The apparatus of claim 48, wherein the spectral filtering means comprises a liquid crystal tunable spectral filter, an acousto-optical tunable spectral filter, a set of spectral filters, a spectral filter wheel, a dispersive prism, a grating, a spectrometer, or a monochromator.

50. The apparatus of claim 47, further comprising a spectral filtering means positioned between the illumination source and the sample.