METHOD OF SAMPLE CONTROL AND CALIBRATION ADJUSTMENT FOR USE WITH A NONINVASIVE ANALYZER

1 . A noninvasive method for estimating a biological attribute concentration of human tissue of a tested subject, comprising the steps of:

providing an apparatus for measuring light throughput, said apparatus comprising an energy source emitting light at multiple wavelengths, an input element, an output element, and a spectrum analyzer;

irradiating said tissue through said input element with multiple wavelengths of said light with resulting absorption of at least some of said wavelengths;

prior to said step of irradiating, using light sensitive elements in mechanically positioning along x- and/or y-axes said input element relative to a position of the human tissue, wherein said step of mechanically positioning aligns said input element to a targeted tissue volume;

collecting at least a portion of non-absorbed light with said output element; determining the intensities of said collected light;

generating a model using calibration spectra and calibration reference concentrations;

adjusting said model with at least one direct reference measurement and a corresponding reference spectrum;

collecting at least one noninvasive prediction spectrum of said tissue of said tested subject;

estimating said biological attribute of said specific subject using said adjusted model; and

displaying said estimated biological attribute.

2 . The method of claim 1 , wherein said biological attribute comprises a glucose concentration.

3 . The method of claim 1 , wherein said light comprises wavelengths from 1100 to 1900 nm or at least one sub-range therein.

4 . The method of claim 1 , wherein said noninvasive calibration spectra comprise spectra from any of:

a single individual;

multiple individuals;

a single analyzer; and

multiple analyzers.

5 . The method of claim 1 , wherein said model comprises a multivariate analysis.

6 . The method of claim 5 , wherein said multivariate analysis comprises at least one of principal component regression and partial least squares.

7 . The method of claim 1 , wherein use of said adjusted model occurs for a time period comprising at least one of:

a fraction of a day;

a work day;

a waking portion of a day;

a week; and

a month.

8 . The method of claim 7 , wherein said direct reference measurement comprises any of:

a single reference glucose concentration;

a reference glucose concentration determined before or in time proximity to beginning of said time period;

the first n reference glucose concentrations of said time period; and

a set of at least two glucose concentrations.

9 . The method of claim 7 , wherein said reference spectrum comprises any of

a stored reference spectrum;

a first spectrum of said time period;

a spectrum of said specific subject;

an average of the first n spectra of said time period;

an average of the first n spectra of said specific subject;

a set of at least two spectra of said specific subject; and

a spectrum from a data base, wherein said spectrum is selected based upon at least one spectral feature.

10 . The method of claim 1 , wherein said sample side of said guide comprises at least one of:

a flat surface, and

a surface with a radius of curvature ranging from flat to 1.5 centimeters.

11 . The method of claim 1 , wherein said attachment side of said guide interfaces with at least one of:

a plug;

a photostimulator;

a sample module;

said input element; and

said output element.

12 . The method of claim 1 , further comprising the step of:

blowing air onto said fiber optic input element with a blower to evaporate moisture from said fiber optic input element.