METHOD AND SYSTEM FOR ANALYZING BIOLOGICAL SPECIMENS BY SPECTRAL IMAGING
First Claim
1. A method for classifying a biological sample, the method comprising:
- receiving, at a system, an image of a biological sample;
generating a true image of the biological sample by applying annotation information to the image and associated spectral data, wherein the annotation information is associated with a specific disease or condition;
generating a prediction image by applying one or more algorithms to the image and associated spectral data, wherein the prediction image includes a predictive classification of diseases or conditions identified from the biological sample; and
transmitting the prediction image with the predictive classification to be presented on a display.
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Accused Products
Abstract
The methods, devices, and systems may allow a practitioner to obtain information regarding a biological sample, including analytical data, a medical diagnosis, and/or a prognosis or predictive analysis. The method, devices, and systems may provide a grade or level of development for identified diseases. In addition, the methods, devices and systems may generate a confidence value for the predictive classifications generated, which may, for example be generated in a format to show such confidence value or other feature in a graphical representation (e.g., a color code). Further, the methods, devices and system may aid in the identification and discovery of new classes and tissue sub-types.
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Citations
35 Claims
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1. A method for classifying a biological sample, the method comprising:
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receiving, at a system, an image of a biological sample; generating a true image of the biological sample by applying annotation information to the image and associated spectral data, wherein the annotation information is associated with a specific disease or condition; generating a prediction image by applying one or more algorithms to the image and associated spectral data, wherein the prediction image includes a predictive classification of diseases or conditions identified from the biological sample; and transmitting the prediction image with the predictive classification to be presented on a display. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20)
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17. A system for classifying a biological sample, the system comprising:
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a memory in communication with a processor, wherein the memory and the processor are cooperatively configured to; receive an image of a biological sample; generate a true image of the biological sample by applying annotation information to the image and spectral data, wherein the annotation information is associated with a specific disease or condition; generate a prediction image by applying one or more algorithms to the image and spectral data, wherein the prediction image includes a predictive classification of diseases or conditions identified from the biological sample; and transmit the prediction image with the predictive classification to be presented on a display. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32)
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33. A system for classifying a biological sample, the system comprising:
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a receiving module for receiving an image of a biological sample; a generating module for generating a true image of the biological sample by applying annotation information to the image and spectral data, wherein the annotation information is associated with a specific disease or condition; wherein the generating module is configured to generate a prediction image by applying one or more algorithms to the image and spectral data, wherein the prediction image includes a predictive classification of diseases or conditions identified from the biological sample; and a transmitting module for transmitting the prediction image with the predictive classification to be presented on a display. - View Dependent Claims (34)
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35. A computer program product, comprising:
a computer-readable medium comprising; at least one instruction for causing a computer to receive an image of a biological sample; at least one instruction for causing the computer to generate a true image of the biological sample by applying annotation information to the image and spectral data, wherein the annotation information is associated with a specific disease or condition; at least one instruction for causing the computer to generate a prediction image by applying one or more algorithms to the image and spectral data, wherein the prediction image includes a predictive classification of diseases or conditions identified from the biological sample; and at least one instruction for causing the computer to transmit the prediction image with the predictive classification to be presented on a display.
Specification