Abstract: A non-invasive analyte monitoring instrument has a radiation source for directing excitation radiation to a portion of a surface of a tissue wherein said source emits radiation at a plurality of different wavelengths that excites a target in said tissue causing said target to emit radiation such that the radiation received at the surface provides an analyte level indication of the patient. A radiation detector positioned to receive radiation emitted from the surface wherein said radiation detector is configured to synchronously scan radiation emitted by the target with the excitation radiation.

Abstract: Instruments and methods are described for performing non-invasive measurements of analyte levels and for monitoring, analyzing and regulating tissue status, such as tissue glucose levels.

Abstract: This invention relates to methods for processing in vivo skin auto-fluorescence spectra for determining blood glucose levels. The invention also relates to methods of classifying cells or tissue samples or quantifying a component of a cell or tissue using a multivariate classification or quantification model.

Abstract: Disclosed are methods and systems for determining information about a position of the entity within the sample using spectral techniques. For example, the sample may be a living animal, such as a mouse, and the embedded object may be a tumor.

Abstract: Instruments and methods are described for performing non-invasive measurements of analyte levels and for monitoring, analyzing and regulating tissue status, such as tissue glucose levels.

Abstract: This invention relates to methods for processing in vivo skin auto-fluorescence spectra for determining blood glucose levels. The invention also relates to methods of classifying cells or tissue samples or quantifying a component of a cell or tissue using a multivariate classification or quantification model.

Abstract: A clinical practice guideline can be implemented using a guideline execution engine. The engine can interpret the clinical practice guideline, obtain medical data stored in a clinical information system (CIS), and implement an action in response to execution of the clinical practice guideline based on medical data for a patient obtained from the CIS. The use of the CIS medical data in guideline execution beneficially allows the guideline to be tightly integrated into the real-time workflow of a clinician in a clinical setting and to provide patient-specific guideline recommendations. A VMR/actions interface facilitates communications between a guideline execution system and a CIS by processing a request for medical data from the guideline execution engine and implementing actions on the CIS requested by the guideline execution engine.

Abstract: Hyperspectral imaging calibration devices and methods for their use are described that generate images of three dimensional samples. A calibration device may assume the shape of a desired imaging sample such as a body part and may be sterile prior to placement. The calibration device may include openings or may be modified to expose a region of the sample during use. Spectral images, typically obtained at multiple wavelengths, are made of the calibration device. Algorithms are provided that utilize the spectral images of the calibration device to determine the effects of lighting conditions and sample shape on the sample image to form a calibrated image. Calibrated images produced by these devices and methods can provide information, including clinical data that are less sensitive to lighting and sample shape compared to alternative technologies.

Abstract: The invention is directed to imaging apparatus for performing real-time or near real-time assessment and monitoring. Embodiments of the device are useful in a plurality of settings including surgery, clinical procedures, tissue assessment, diagnostic procedures, forensic, health monitoring and medical evaluations.

Abstract: Instruments and methods are described for performing non-invasive measurements of analyte levels and for monitoring, analyzing and regulating tissue status, such as tissue glucose levels.

Abstract: This invention relates to methods for processing in vivo skin auto-fluorescence spectra for determining blood glucose levels. The invention also relates to methods of classifying cells or tissue samples or quantifying a component of a cell or tissue using a multivariate classification or quantification model.

Abstract: The invention is directed to imaging methods for performing real-time or near real-time assessment and monitoring. Embodiments of these methods are useful in a plurality of settings including surgery, clinical procedures, tissue assessment, diagnostic procedures, forensic, health monitoring and medical evaluations.

Abstract: The invention relates to fluorescence calibration devices and methods that can mimic skin and other tissues. A calibration device of the invention comprises at least one scattering layer, which is preferably non-fluorescent, and a second layer containing one or more fluorophore. Light passes through the scattering layer and excites the fluorophore. Light emitted from the fluorophore passes back though the scattering layer and into collecting optics, which can be measured and that measurement used to correct for instrument drift.

Abstract: Instruments and methods are described for performing non-invasive measurements of analyte levels and for monitoring, analyzing and regulating tissue status, such as tissue glucose levels.

Abstract: This invention relates to the reduction of inter-subject variation via transfer standardization. According to the method, the effects of inter-subject variation on the analysis of spectra collected from the skin of two or more different subjects is reduced by correcting for the differences between spectra collected from said two or more subjects.

Abstract: This invention relates to methods for processing in vivo skin auto-fluorescence spectra for determining blood glucose levels. The invention also relates to methods of classifying cells or tissue samples or quantifying a component of a cell or tissue using a multivariate classification or quantification model.