SYSTEM AND METHODS FOR ANALYZING BIOSENSOR TEST RESULTS
A system for analyzing biological specimens by spectral imaging includes a biosensor comprising at least one graphene layer on a substrate and a memory in communication with a processor. The biosensor is configured to acquire a biological specimen sample. The memory and the processor are configured to conduct Raman spectroscopy to obtain spectral data for the sample, transmit the spectral data to a hub for direct or indirect transmission to one or more servers, perform multivariate analysis on the spectral data, and deliver a report based on the multivariate analysis of the spectral data.
1 . A method for analyzing a sample biological specimen, the method comprising:
acquiring the sample biological specimen with a biosensor;
obtaining spectral data for the sample;
performing analysis on the spectral data; and
delivering a report based on an analysis of the spectral data.
2 . The method of claim 1 , wherein the biosensor comprises at least one graphene layer on a substrate, the at least one graphene layer comprising a binding site configured to bind or react with the sample biological specimen.
3 . The method of claim 2 , further comprising functionalizing at least a portion of the at least one graphene layer to form the binding site.
4 . The method of claim 1 , wherein obtaining spectral data for the sample includes performing Raman spectroscopy.
5 . The method of claim 1 , wherein the sample comprises at least one of saliva and blood.
6 . The method of claim 1 , wherein performing analysis on the spectral data comprises aligning corresponding control points of the spectral data with data in a database that includes spectral images associated with a confirmed condition.
7 . The method of claim 1 , wherein performing analysis on the spectral data comprises performing analysis of the data via a machine-learning algorithm.
8 . The method of claim 6 , wherein performing analysis on the spectral data comprises:
selecting a region of a spectral image;
comparing data for the selected region to data in a database that includes spectral images associated with the confirmed condition;
determining a correlation between the data in the database and the data for the selected region; and
classifying the selected region based on the determination.
9 . The method of claim 1 , further comprising providing a diagnostic decision based on the analysis of the spectral data.
10 . The method of claim 1 , further comprising storing the spectral data in a database that includes spectral images associated with a confirmed condition.
11 . A system for analyzing a biological specimen by spectral imaging, comprising:
a biosensor comprising at least one graphene layer on a substrate, wherein the biosensor is configured to acquire a biological specimen sample;
a processor; and
a memory in communication with the processor, wherein the memory and the processor are configured to:
conduct Raman spectroscopy to obtain spectral data for the sample;
transmit the spectral data to a hub for direct or indirect transmission to one or more servers; and
deliver a report based on a multivariate analysis of the spectral data.
12 . The system of claim 11 , wherein the biosensor comprises a binding site configured to bind or react with the biological specimen sample.
13 . The system of claim 11 , wherein the hub is connected to the biosensor wirelessly.
14 . The system of claim 13 , wherein the one or more servers are configured to use pattern recognition to perform multivariate analysis on the spectral data.
15 . The system of claim 14 , wherein the pattern recognition comprises aligning corresponding control points of the spectral data with data in a database that includes spectral images associated with a confirmed condition.
16 . The system of claim 15 , wherein the database includes the spectral data for the sample after the report is delivered.
17 . The system of claim 11 , wherein the hub includes a model program configured to improve pattern recognition to analyze the spectral data.
18 . A method for analyzing content of a biological sample, comprising:
contacting a biological sample with a biosensor comprising at least one graphene layer on a substrate, wherein the graphene is functionalized to include a binding site specifically to at least one analyte in the sample to form a bound complex;
generating Raman spectra from the bound complex; and
detecting spectra data produced by the bound complex, wherein the spectra data associated with a bound analyte is indicative of the presence and type of analyte in the sample.
19 . The method of claim 18 , further comprising:
comparing a Raman signal associated with the bound analyte to a model;
wherein the model includes a Raman signal associated with a confirmed condition.
20 . The method of claim 18 , further comprising providing a diagnostic decision based on an analysis of the spectra data.