Abstract: The invention provides methods for determining the probability that a given region of a tissue sample contains tissue of a given category, such as CIN 1 (cervical intraepithelial neoplasia, grade 1), CIN 2/3 (cervical intraepithelial neoplasia grades 2 and/or 3), normal squamous, normal columnar, and metaplasia, for example. The invention provides increased diagnostic accuracy by combining a plurality of statistical classification techniques. Furthermore, in one embodiment, the invention comprises combining one or more statistical techniques with one or more non-statistical classification techniques.

Abstract: The invention provides methods for processing tissue-derived spectral data for use in a tissue classification algorithm. Methods of the invention comprise application of spectral and/or image masks for automatically separating ambiguous or unclassifiable spectral data from valid spectral data. The invention improves the accuracy of tissue classification, in part, by properly identifying and accounting for spectral data from tissue regions that are affected by an obstruction and/or regions that lie outside a diagnostic zone of interest.

Abstract: The invention provides methods for displaying diagnostic results obtained from a tissue sample. In general, the invention assigns tissue-class probability values to discrete regions of a patient sample, and creates an overlay for displaying the results. The overlay facilitates display of the tissue class probabilities in a way that reflects the diagnostic relevance of the data. For example, methods of the invention comprise applying filtering and color-blending techniques in order to facilitate display of diagnostic results.

Abstract: The invention provides methods for processing tissue-derived optical data for use in a classification algorithm. Methods of the invention comprise application of image masks for automatically identifying ambiguous or unclassifiable optical data. The optical data may comprise, for example, spectral data and/or acetowhitening kinetic data used in a tissue classification scheme. The invention improves the accuracy of tissue classification, in part, by properly identifying and accounting for image data from tissue regions that are affected by an obstruction and/or regions that lie outside a diagnostic zone of interest.

Abstract: The invention provides methods for displaying diagnostic results obtained from a tissue sample. In general, the invention assigns tissue-class probability values to discrete regions of a patient sample, and creates an overlay for displaying the results. The overlay facilitates display of the tissue class probabilities in a way that reflects the diagnostic relevance of the data. For example, methods of the invention comprise applying filtering and color-blending techniques in order to facilitate display of diagnostic results.

Abstract: The invention provides methods for determining the probability that a given region of a tissue sample contains tissue of a given category, such as CIN 1 (cervical intraepithelial neoplasia, grade 1), CIN 2/3 (cervical intraepithelial neoplasia grades 2 and/or 3), normal squamous, normal columnar, and metaplasia, for example. The invention provides increased diagnostic accuracy by combining a plurality of statistical classification techniques. Furthermore, in one embodiment, the invention comprises combining one or more statistical techniques with one or more non-statistical classification techniques.

Abstract: The invention provides a system and methods for in-situ identification of one or more regions of tissue at which there is a likelihood of disease. The invention generally relates to methods and devices for acquiring, analyzing, processing, and displaying optical data and diagnostic results from a patient sample. For example, methods of the invention comprise obtaining spectral and visual data from a patient sample, calibrating the data, compensating for sample motion, arbitrating between redundant data sets, identifying potentially non-representative data, analyzing the data, and displaying the diagnostic results. The invention provides the option of real-time data processing and diagnosis.

Abstract: The invention provides methods for processing tissue-derived spectral data for use in a tissue classification algorithm. Methods of the invention comprise application of spectral and/or image masks for automatically separating ambiguous or unclassifiable spectral data from valid spectral data. The invention improves the accuracy of tissue classification, in part, by properly identifying and accounting for spectral data from tissue regions that are affected by an obstruction and/or regions that lie outside a diagnostic zone of interest.

Abstract: A CO.sub.2 monitor which has a reusable portion and a disposable portion is disclosed. The disposable portion includes an airway sensor for connecting between a ventilator output and an endotracheal tube. The airway sensor has ports on opposite sides. In one port a disposable infrared light source is inserted with wire contacts extending to the exterior of the airway sensor body. The reusable portion is a detector module which includes a detector and an amplifier. The detector module attaches to the airway sensor so that the detector is disposed in the second port and so that contacts in the detector module communicate with the wire contacts of the light source. The detector module may be removed from the airway sensor without removing the light source from the airway sensor.

Abstract: An agent gas analyzer that will determine the types and measure simultaneously the concentrations of a plurality of agent gases in a respiratory gas stream of an anesthetized patient, with the analyzer self-determining the agent gas types and concentrations each time gas measurements are made.

Abstract: An agent gas analyzer that will determine the types and measure simultaneously the concentrations of a plurality of agent gases in a respiratory gas stream of an anesthetized patient, with the analyzer self-determining the agent gas types and concentrations each time gas measurements are made.