Abstract: A system for rapidly determining the presence or quantity of coliform bacteria in a water sample using the enzymes ?-D-galactosidase and ?-D-glucuronidase. The system includes a first filter means for separating bacteria from the sample and a broth for culturing the bacteria including an inducing agent for inducing enzyme production. A second filter means is used to separate the cultured bacteria from the broth. A lysing agent is exposed to the bacteria on the second filter and incubated with a chemiluminogenic substrate of the enzyme to produce a chemiluminescent product. Light emission is initiated from the second filter means and the emitted light is detected or measured directly from the second filter means using a luminometer adapted to receive the second filter means.

Abstract: A method and system for analyzing and measuring image quality between two images. A series of conversions and transformations of image information are preformed to produce a single measure of quality. A YCrCb frame sequence is first converted using RGB conversion to an RGB frame sequence. The resulting RGB frame sequence is converted using spherical coordinate transform (SCT) conversion to SCT images. A Gabor filter is applied to the SCT images to produce a Gabor Feature Set, and a statistics calculation is applied to the Gabor Feature Set. The resulting Gabor Feature Set statistics are produced for both the reference frame and the frame to be compared. Quality is computed for these Gabor Feature Set statistics to produce a video quality measure. Spectral decomposition of the frames is also performable for the Gabor Feature Set, rather than the statistics calculation, allowing graphical comparison of results for the compared frames.

Abstract: A method and system for analyzing and measuring image quality between two images. A series of conversions and transformations of image information are preformed to produce a single measure of quality. A YCrCb frame sequence is first converted using RGB conversion to an RGB frame sequence. The resulting RGB frame sequence is converted using spherical coordinate transform (SCT) conversion to SCT images. A Gabor filter is applied to the SCT images to produce a Gabor Feature Set, and a statistics calculation is applied to the Gabor Feature Set. The resulting Gabor Feature Set statistics are produced for both the reference frame and the frame to be compared. Quality is computed for these Gabor Feature Set statistics to produce a video quality measure. Spectral decomposition of the frames is also performable for the Gabor Feature Set, rather than the statistics calculation, allowing graphical comparison of results for the compared frames.

Abstract: A real-time video processing method for monitoring and correcting digital video quality by reverse frame prediction. Video frames within intercut sequences, defined by correlation analysis, are used for determining quality in real-time data streams by predicting whether a frame is of acceptable quality versus one or more of a set of frames of consistent quality. When quality anomalies are encountered, such as via comparison of each correlation coefficient to a range, and identification of the specific frame containing the degradation causing the coefficient correlation to fall within the identified range, such errors in frames are corrected by replacing, regenerating, or dropping the erroneous frames or portions thereof. The repaired video data stream is then sent onward to a receiving destination.