Abstract: A method for presenting relationships between data from a thrombosis-hemostasis assay on an unknown sample and data from a purality of assays on known samples, which can be in the form of a topological feature map wherein spatial locations within the map correspond to intrinsic features of the known samples. The position of the unknown sample is superimposed on the positions of the known samples. An alternative presentation is showing the distance of each of a purality of predictor variables from an unknown sample to the mean values of a known population.

Abstract: A method is disclosed for predicting the presence of an abnormal level of one or more proteins in the clotting cascade from at least one time-dependent measurement profile. At least one time-dependent measurement on an unknown sample is performed and a respective property of said sample is measured over time so as to derive a time-dependent measurement profile. A set of a plurality of predictor variables are defined which sufficiently define the data of the time-dependent measurement profile. A model is then derived that represents the relationship between the abnormality and the set of predictor variables. Subsequently, the model is utilized to predict which protein or proteins in the clotting cascade are at an abnormal level, with the prediction being a better prediction than clot time alone.

Abstract: A method is disclosed for presenting the relationships between data from an assay relating to thrombosis-hemostasis on an unknown sample, and data from a plurality of assays relating to thrombosis-hemostasis from known sample populations including, (a) providing data from at least one time dependent measurement profile for each of a plurality of known blood samples; (b) measuring a respective property over time as to derive at least one time-dependent measurement for an unknown blood sample; (c) transforming data from steps (a) and (b) to a plurality of predicator variables which sufficiently capture the information content of both the time-dependent measurements from the known blood samples and unknown blood sample; (d) presenting the data from said unknown blood sample time-dependent measurement profile relative to the data from said known blood sample time-dependent measurement profiles using the presentation method of either steps (e), (f), and (g), or steps (h) and (i); namely, (e) creating a topological

Abstract: A method and apparatus are disclosed for predicting the presence of at least one congenital or acquired imbalance or therapeutic condition associated with thrombosis/hemostasis from at least one time-dependent measurement profile. At least one time-dependent measurement on an unknown sample is performed and a respective property of said sample is measured over time so as to derive a time-dependent measurement profile. A set of a plurality of predictor variables are defined which sufficiently define the data of the time-dependent measurement profile. A model is then derived that represents the relationship between the congenital or acquired imbalance or therapeutic condition, and the set of predictor variables. Subsequently, the model is utilized to predict the existence of the congenital or acquired imbalance or therapeutic condition in the unknown sample.

Abstract: A method is disclosed for predicting the presence of an abnormal level of one or more proteins in the clotting cascade from at least one time-dependent measurement profile. At least one time-dependent measurement on an unknown sample is performed and a respective property of said sample is measured over time so as to derive a time-dependent measurement profile. A set of a plurality of predictor variables are defined which sufficiently define the data of the time-dependent measurement profile. A model is then derived that represents the relationship between the abnormality and the set of predictor variables. Subsequently, the model is utilized to predict which protein or proteins in the clotting cascade are at an abnormal level, with the prediction being a more informative prediction than clot time alone.

Abstract: A method and apparatus are disclosed for predicting the presence of at least one congenital or acquired imbalance or therapeutic condition associated with thrombosis/hemostasis from at least one time-dependent measurement profile. At least one time-dependent measurement on an unknown sample is performed and a respective property of said sample is measured over time so as to derive a time-dependent measurement profile. A set of a plurality of predictor variables are defined which sufficiently define the data of the time-dependent measurement profile. A model is then derived that represents the relationship between the congenital or acquired imbalance or therapeutic condition, and the set of predictor variables. Subsequently, the model is utilized to predict the existence of the congenital or acquired imbalance or therapeutic condition in the unknown sample.

Abstract: A method and apparatus are disclosed for predicting the presence of at least one congenital or acquired imbalances or therapeutic condition associated with thrombosis/hemostasis from at least one time-dependent measurement profile. At least one time-dependent measurement in a sample is performed and a respective property of sample is measured over time so as to derive a time-dependent measurement profile. A set of a plurality of predictor variables are defined which sufficiently define the data of the time-dependent measurement profile. A model is then derived that represents the relationship between the congenital or acquired imbalance or therapeutic condition, and the set of predictor variables. Subsequently, the model is utilized to predict the existence of the congenital or acquired imbalance or therapeutic condition in a sample.

Abstract: A method and apparatus are disclosed for predicting the presence of at least one congenital or acquired imbalance or therapeutic condition associated with thrombosis/hemostasis from at least one time-dependent measurement profile. At least one time-dependent measurement on an unknown sample is performed and a respective property of said sample is measured over time so as to derive a time-dependent measurement profile. A set of a plurality of predictor variables are defined which sufficiently define the data of the time-dependent measurement profile. A model is then derived that represents the relationship between the congenital or acquired imbalance or therapeutic condition, and the set of predictor variables. Subsequently, the model is utilized to predict the existence of the congenital or acquired imbalance or therapeutic condition in the unknown sample.

Abstract: A copy machine (10) of the type for producing enlargements or reductions of an original material includes mirrors (14) for reflecting an image of the original material to a lens (16) and from the lens (16) to an image fixing system (18), and a lens (16) for enlarging or reducing the image reflected thereto by the mirrors (14). The lens (16) is fixed relative to the machine (10). The image fixing system (18) fixes the reflected image on a substrate. The mirrors (38,40,44,46) are moveable for enlarging or reducing the image reflected to and from the lens (16). The machine (10) includes a control system (20) for controlling the movement of the mirrors (38,40,44,46) and simultaneously reducing or enlarging and focusing the image reflected to the image fixing system (18).

Abstract: A can top measuring system is disclosed, including a rotatable turntable (40) containing can top receiving apertures (44). The turntable (40) may also be translated in either the X or Y direction. A differential height sensor (50) surrounds the can top (70) in order that two laser ranger finders (51,52) may emit beams toward opposite sides of the can top (70), the reflected beams being sensed by two dimensional detector arrays (58, 60). Height measurements can also be accomplished by an autofocusing optical system (28) movable along the Z axis. A score line (76) depth in the can top (70) may be measured by observing the characteristic sinusoidal variation (94) of a beam (93) scanned transversely across the score line (76). A node (96) resides on the score line (76) centerline (95), which can thus be scanned as reprsentative of the deepest portion (91) of the score line (76).