Classifying image features
First Claim
Patent Images
1. A method for assessing a biological sample, the method comprising using one or more electronic processors to perform the following steps:
- decomposing a set of n spectral images of the sample into a set of m unmixed images, wherein each member of the unmixed image set corresponds to a spectral contribution from a different component in the sample, and wherein n≧
4; and
classifying spatial locations in the sample corresponding to pixels in the set of unmixed images based on an image stack comprising one or more members of the set of unmixed images to assess whether each spatial location corresponds to one or more of p classes.
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Abstract
Methods are disclosed for classifying different parts of a sample into respective classes based on an image stack that includes one or more images.
115 Citations
30 Claims
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1. A method for assessing a biological sample, the method comprising using one or more electronic processors to perform the following steps:
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decomposing a set of n spectral images of the sample into a set of m unmixed images, wherein each member of the unmixed image set corresponds to a spectral contribution from a different component in the sample, and wherein n≧
4; andclassifying spatial locations in the sample corresponding to pixels in the set of unmixed images based on an image stack comprising one or more members of the set of unmixed images to assess whether each spatial location corresponds to one or more of p classes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A system for assessing a biological sample, the system comprising:
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a light source; light conditioning optics positioned to direct light from the source to the sample; light collecting optics positioned to direct light from the sample to a detector; a detector configured to receive light from the light collecting optics and to record a set of n spectral images of the sample based on the received light, wherein n≧
4; andan electronic processor connected to the detector and configured to; decompose the set of n spectral images into a set of m unmixed images, wherein each member of the unmixed image set corresponds to a spectral contribution from a different component in the sample; and classify spatial locations in the sample corresponding to pixels in the set of unmixed images based on an image stack comprising one or more members of the set of unmixed images to assess whether each spatial location corresponds to one or more of p classes. - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
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Specification