Abstract: An apparatus is presented for stabilizing an optical, thermal, and mechanical interface between a spectroscopic and/or imaging system and a biological sample. The apparatus includes a window retainer having a retainer surface and a well. The retainer surface surrounds the well. Further, the retainer surface is substantially planar. An optical window is located in the well. The optical window comprises a first and second surface. The second surface is in contact with the window retainer. The first surface is substantially flush with the retainer surface. The apparatus further includes an attachment mechanism coupling the window retainer to the biological sample such that a fluid, gel, adhesive or elastomer interposed between the optical window and the biological sample is trapped in the well.

Abstract: An apparatus is presented for stabilizing an optical, thermal, and mechanical interface between a spectroscopic and/or imaging system and a biological sample. The apparatus includes a window retainer having a retainer surface and a well. The retainer surface surrounds the well. Further, the retainer surface is substantially planar. An optical window is located in the well. The optical window comprises a first and second surface. The second surface is in contact with the window retainer. The first surface is substantially flush with the retainer surface. The apparatus further includes an attachment mechanism coupling the window retainer to the biological sample such that a fluid, gel, adhesive or elastomer interposed between the optical window and the biological sample is trapped in the well.

Abstract: The concentration of analytes in a complex mixture can be ascertained by spectroscopic measurement, even if the spectra of substances other than the analyte overlap with that of the analyte. Both independently measured concentrations of the analyte in a training set and of the analyte spectrum are used. Variances in the spectral data attributable to the analyte are isolated from spectral variances from other causes, such as compositional changes associated with different samples that are independent of the analyte. For the special case of noninvasive glucose measurements on the skin of biological organisms, the volume averaged glucose in the sample is predicted from the blood glucose. A test for over-fitting of the data is also described.

Abstract: The concentration of analytes in a complex mixture can be ascertained by spectroscopic measurement, even if the spectra of substances other than the analyte overlap with that of the analyte. Both independently measured concentrations of the analyte in a training set and of the analyte spectrum are used. Variances in the spectral data attributable to the analyte are isolated from spectral variances from other causes, such as compositional changes associated with different samples that are independent of the analyte. For the special case of noninvasive glucose measurements on the skin of biological organisms, the volume averaged glucose in the sample is predicted from the blood glucose. A test for over-fitting of the data is also described.

Abstract: The concentration of analytes in a complex mixture can be ascertained by spectroscopic measurement, even if the spectra of substances other than the analyte overlap with that of the analyte. Both independently measured concentrations of the analyte in a training set and of the analyte spectrum are used. Variances in the spectral data attributable to the analyte are isolated from spectral variances from other causes, such as compositional changes associated with different samples that are independent of the analyte. For the special case of noninvasive glucose measurements on the skin of biological organisms, the volume averaged glucose in the sample is predicted from the blood glucose. A test for over-fitting of the data is also described.

Abstract: The concentration of analytes in a complex mixture can be ascertained by spectroscopic measurement, even if the spectra of substances other than the analyte overlap with that of the analyte. Both independently measured concentrations of the analyte in a training set and of the analyte spectrum are used. Variances in the spectral data attributable to the analyte are isolated from spectral variances from other causes, such as compositional changes associated with different samples that are independent of the analyte. For the special case of noninvasive glucose measurements on the skin of biological organisms, the volume averaged glucose in the sample is predicted from the blood glucose. A test for over-fitting of the data is also described.