Abstract: An image analysis system, a method and a point of care device are provided for determining, from an image of a cassette containing a sample, a concentration of one or more target analytes in the sample. The method includes identifying a region of interest (ROI) from the image corresponding to a result viewing area of the cassette, generating a unidimensional (1D) profile of the ROI, and probabilistically determining from the 1D profile, the concentration of the target analyte(s) in the sample based on a statistical model having one or more parameters of the 1D profile varying with respect to time and/or the concentration of the target analyte(s) in the sample.

Abstract: A method and system for predicting performance of a fluid filled electrical device are provided. The system includes a sensing unit operable communicating with a fluid level estimation system. The sensing unit includes one or more sensors physically mountable on and/or around the electrical device, recording temperature data associated with the fluid and the ambient environment. The fluid level estimation system determines temperatures of the fluid and a an ambient temperature, generates feature vectors for one or more of the temperatures based on their correlation with the ambient temperature, and estimates a fluid level inside the electrical device and thereby the performance, based on the feature vectors and a probability density function derived from a distribution constructed using historical temperature gradient data associated with the electrical device.

Abstract: A method and system for predicting performance of a fluid filled electrical device are provided. The system includes a sensing unit operable communicating with a fluid level estimation system. The sensing unit includes one or more sensors physically mountable on and/or around the electrical device, recording temperature data associated with the fluid and the ambient environment. The fluid level estimation system determines temperatures of the fluid and a an ambient temperature, generates feature vectors for one or more of the temperatures based on their correlation with the ambient temperature, and estimates a fluid level inside the electrical device and thereby the performance, based on the feature vectors and a probability density function derived from a distribution constructed using historical temperature gradient data associated with the electrical device.