Spectral imaging of biological samples
First Claim
Patent Images
1. A method comprising:
- 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;
decomposing 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
constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components,wherein at least a first one of the spectral estimates for a first one of the components is determined from at least part of the spectrally resolved information using an unsupervised classification technique.
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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.
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Citations
101 Claims
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1. A method comprising:
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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; decomposing 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 constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components, wherein at least a first one of the spectral estimates for a first one of the components is determined from at least part of the spectrally resolved information using an unsupervised classification technique. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54)
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55. A method comprising:
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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; decomposing 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 constructing a deep tissue image of the sample based on the decomposition to preferentially show a selected one of the components, wherein the decomposition 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.
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56. A method comprising:
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providing spectrally resolved information about light coming from different spatial locations of a biological sample in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; decomposing 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 constructing an image of the sample based on the decomposition to preferentially show a selected one of the components, wherein the estimate of the pure spectrum for the first component is derived 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. - View Dependent Claims (57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100)
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79. A method comprising:
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providing spectrally resolved information about light coming from different spatial locations of a biological sample in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; decomposing 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 constructing an image of the sample based on the decomposition to preferentially show a selected one of the components, wherein the estimate of the pure spectrum for the first component is derived 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, and wherein the decomposition 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.
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101. A method comprising:
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providing spectrally resolved information about light coming from different spatial locations in a sample in response to an illumination of the sample, wherein the light includes contributions from different components in the sample; decomposing 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 constructing an image of the sample based on the decomposition to preferentially show a selected one of the components, wherein the decomposition 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.
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Specification