Measurement, data acquisition, and signal processing

• US 6,591,121 B1
• Filed: 02/17/2000
• Issued: 07/08/2003
• Est. Priority Date: 09/10/1996
• Status: Expired due to Fees

• Current Assignee: Xoetronics LLC
• Original Assignee: Xoetronics LLC
• Inventors: Inguva, Ramarao, Wyly, James K., Krivoshik, David P., Milelli, R. Joseph, Madarasz, Frank L., Engelhaupt, Darell
• Primary Examiner(s): WINAKUR, ERIC FRANK
• Application Number:
  US09/502,248
• Time in Patent Office: 1,237 Days
• Field of Search: 600/310, 600/316, 600/318, 600/319, 356/364, 356/366, 356/367
• US Class Current: 600/310
• CPC Class Codes: A61B 5/14558 by polarisation
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G01N 21/21 Polarisation-affecting properties G01N21/19 takes precedence

Abstract

In an opto-electronic device utilizing a band of light for quantitative analysis of a specimen containing a target molecule, the opto-electronic device comprising a specimen cell adapted for receiving the specimen and for transporting the band of light, a device for comparing the band of light before entering the specimen with the band of light after exiting the specimen, wherein the target molecule. The device for comparing comprises: an optical sensor; and, a signal processor for determining a quantitative level of the target molecule within the specimen. The signal processor utilizes Bayes'"'"' Theorem for determining the quantitative level of the target molecule within the specimen.

Claims

1. In an opto-electronic device utilizing a band of light for quantitative analysis of a specimen containing a target molecule, the opto-electronic device comprising a specimen cell adapted for receiving the specimen and for transporting the band of light, a device for comparing the band of light before entering the specimen with the band of light after exiting the specimen, the device for comparing comprising:

an optical sensor; and

,

a signal processor for determining a quantitative level of the target molecule within the specimen;

wherein the signal processor utilizes Bayes'"'"'s Theorem for determining the quantitative level of the target molecule within the specimen and a probability density of interest is estimated as P_R(c|I), is estimated as P_R(c|I)=∫

dα

P(cα

|DI), where c is the concentration of the target molecule conditioned on data D and any prior information I, and the probability density for parameters c, α

conditioned on data D is $P<br><br>\left(c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}|\mathrm{DI}\right)=\frac{P<br><br>\left(D|c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}<br><br>\text{\hspace{1em}<br><br>}<br><br>I\right)<br><br>P<br><br>\left(c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}|I\right)}{P<br><br>\left(D|I\right)},$

where

P(D|cα

I)=Likelihood Function,

P(cα

|I)=Prior Probability Density,

P(D|I)=Probability Density for D.

2. The opto-electronic device as recited in claim 1 wherein the target molecule changes ellipticity of said segmented characterized light.

3. In an opto-electronic device utilizing a band of partially polarized polychromatic light for quantitative analysis of a specimen containing a target molecule, the opto-electronic device comprising a specimen cell adapted for receiving the specimen and for transporting the band of partially polarized polychromatic light, a device for comparing the band of partially polarized polychromatic light before entering the specimen with the band of partially polarized polychromatic light after exiting the specimen, the device for comparing comprising:

an optical sensor; and

,

a signal processor for determining a quantitative level of the target molecule within the specimen;

wherein the signal processor utilizes Bayes'"'"'s Theorem for determining the quantitative level of the target molecule within the specimen and a probability density of interest is estimated as P_R(c|I), is estimated as P_R(c|I)=∫

dα

P(cα

|DI), where c is the concentration of the target molecule conditioned on data D and any prior information I, and the probability density for parameters c, α

conditioned on data D is $P<br><br>\left(c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}|\mathrm{DI}\right)=\frac{P<br><br>\left(D|c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}<br><br>\text{\hspace{1em}<br><br>}<br><br>I\right)<br><br>P<br><br>\left(c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}|I\right)}{P<br><br>\left(D|I\right)},$

where

P(D|cα

I)=Likelihood Function,

P(cα

|I)=Prior Probability Density,

P(D|I)=Probability Density for D.

4. A method for quantitative analysis of a target molecule within a specimen, said method comprising the steps of:

producing elliptical/partially polarized polychromatic light;

producing segmented characterized light with a polarizer optically coupled to said elliptical/partially polarized polychromatic light;

transporting said segmented characterized light onto and through the specimen;

polarizing said segmented characterized light exiting the specimen; and

comparing said segmented characterized light before entering the specimen with said segmented characterized light after exiting the specimen by utilizing Bayes'"'"' Theorem for determining the quantitative level of the target molecule within the specimen;

estimating a probability density of interest as P_R(c|I), is estimated as P_R(c|I)=∫

dα

P(cα

|DI), where c is the concentration of the target molecule conditioned on data D and any prior information I, and the probability density for parameters c, α

conditioned on data D is $P<br><br>\left(c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}|\mathrm{DI}\right)=\frac{P<br><br>\left(D|c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}<br><br>\text{\hspace{1em}<br><br>}<br><br>I\right)<br><br>P<br><br>\left(c<br><br>\text{\hspace{1em}<br><br>}<br><br>\mathrm{\alpha <br><br>}|I\right)}{P<br><br>\left(D|I\right)},$

 

where

P(D|cα

I)=Likelihood Function,

P(cα

|I)=Prior Probability Density,

P(D|I)=Probability Density for D.

5. The method as recited in claim 4 further comprising the step of coupling an RF source to the specimen whereby said RF source causes particular changes of selected achiral molecules within the specimen.

6. The method as recited in claim 4 wherein the target molecule changes ellipticity of said segmented characterized light.