Abstract: An imaging system and method provides automated microbial growth detection for antibiotic sensitivity testing. A processing system having an image sensor for capturing images of an inoculated culture plate having antibiotic disks disposed on the culture media captures images of the plate at separate times (e.g., first and second images). The system generates pixel characteristic data for pixels of the second image from a comparison of the first image and second image. The pixel characteristic data may be indicative of plate growth. The system may access growth modeling data concerning the antibiotic disk(s) and generate simulated image data with a growth model function. The growth model function uses the growth modeling data. The simulated image data simulates growth on the plate relative to the disk(s). The system compares the simulated image and the pixel characteristic data to identify pixel region(s) of the second image that differ from the simulated image.

Abstract: A system and method for developing applications (Apps) for automated assessment and analysis of processed biological samples. Such samples are obtained, combined with nutrient media and incubated. The incubated samples are imaged and the image information is classified according to predetermined criteria. The classified image information is then evaluated according to Apps derived from classified historical image information in a data base. The classified historical image information is compared with the classified image information to provide guidance on further processing of the biological sample through Apps tailored to process provide sample process guidance tailored to the classifications assigned to the image information.

Abstract: A system and method for developing applications (Apps) for automated assessment and analysis of processed biological samples. Such samples are obtained, combined with nutrient media and incubated. The incubated samples are imaged and the image information is classified according to predetermined criteria. The classified image information is then evaluated according to Apps derived from classified historical image information in a data base. The classified historical image information is compared with the classified image information to provide guidance on further processing of the biological sample through Apps tailored to process provide sample process guidance tailored to the classifications assigned to the image information.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: An apparatus that configures a culture plate for precisely assigning coordinates to a selected colony by assigning fiducials to the culture plate using simple mechanical techniques. The fiducials correspond to the plate center and the center of a barcode label applied to the side of the culture plate by the apparatus. The apparatus then deploys mechanisms to apply coordinates to colonies identified by the user relative to the fiducials. One such mechanism is a webcam pointed at the culture plate that allows a technician to mark the colonies on a display using a computer mouse or equivalent cursor. Another mechanism deploys a laser pointer directed at the colony wherein the apparatus assigns coordinates to the location of the colony onto which the laser pointer is directed. In a third mechanism, the user views the surface of the culture plate through a viewfinder and manually registers coordinates when the view finder cross hairs are over a target colony.

Abstract: An imaging system and method provides automated microbial growth detection for antibiotic sensitivity testing. A processing system having an image sensor for capturing images of an inoculated culture plate having antibiotic disks disposed on the culture media captures images of the plate at separate times (e.g., first and second images). The system generates pixel characteristic data for pixels of the second image from a comparison of the first image and second image. The pixel characteristic data may be indicative of plate growth. The system may access growth modeling data concerning the antibiotic disk(s) and generate simulated image data with a growth model function. The growth model function uses the growth modeling data. The simulated image data simulates growth on the plate relative to the disk(s). The system compares the simulated image and the pixel characteristic data to identify pixel region(s) of the second image that differ from the simulated image.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: An imaging system and method provides automated microbial growth detection for antibiotic sensitivity testing. A processing system having an image sensor for capturing images of an inoculated culture plate having antibiotic disks disposed on the culture media captures images of the plate at separate times (e.g., first and second images). The system generates pixel characteristic data for pixels of the second image from a comparison of the first image and second image. The pixel characteristic data may be indicative of plate growth. The system may access growth modeling data concerning the antibiotic disk(s) and generate simulated image data with a growth model function. The growth model function uses the growth modeling data. The simulated image data simulates growth on the plate relative to the disk(s). The system compares the simulated image and the pixel characteristic data to identify pixel region(s) of the second image that differ from the simulated image.

Abstract: An imaging method for earliest microbial growth detection. The method uses images to determined colony biomass, and the colony biomass determines when the colony can be picked for analysis for identification or antibiotic susceptibility testing. If the sample source is not a pure sample source additional incubation may be required to permit an increase in biomass of the colonies prior to pick.

Abstract: A method and automated apparatus for locating and selecting a colony of microorganisms on a culture dish and subjecting the obtained sample to a plurality of downstream tests including a test to identify the microorganism and a test to identify the susceptibility of the microorganism to antibiotics. The method includes the automated steps of locating and selecting a colony of microorganisms on a culture dish; obtaining a sample of the selected colony of microorganisms; preparing a suspension of a sample of microorganisms automatically by submerging the pick tool with the sample in a suspension, after which the pick tool is vibrated in at least the vertical direction to release the sample from the pick tool in the suspension. The turbidity of the suspension is monitored to ensure that the concentration of microorganism in suspension is sufficient so that the suspension is used a source for sample for both identification and antibiotic susceptibility of the microorganisms in the sample.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: An imaging system and method provides automated microbial growth detection for antibiotic sensitivity testing. A processing system having an image sensor for capturing images of an inoculated culture plate having antibiotic disks disposed on the culture media captures images of the plate at separate times (e.g., first and second images). The system generates pixel characteristic data for pixels of the second image from a comparison of the first image and second image. The pixel characteristic data may be indicative of plate growth. The system may access growth modeling data concerning the antibiotic disk(s) and generate simulated image data with a growth model function. The growth model function uses the growth modeling data. The simulated image data simulates growth on the plate relative to the disk(s). The system compares the simulated image and the pixel characteristic data to identify pixel region(s) of the second image that differ from the simulated image.

Abstract: A system and method for developing applications (Apps) for automated assessment and analysis of processed biological samples. Such samples are obtained, combined with nutrient media and incubated. The incubated samples are imaged and the image information is classified according to predetermined criteria. The classified image information is then evaluated according to Apps derived from classified historical image information in a data base. The classified historical image information is compared with the classified image information to provide guidance on further processing of the biological sample through Apps tailored to process provide sample process guidance tailored to the classifications assigned to the image information.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: An imaging system and method for microbial growth detection, counting or identification. One colony may be contrasted in an image that is not optimal for another type of colony. The system and method provides contrast from all available material through space (spatial differences), time (differences appearing over time for a given capture condition) and color space transformation using image input information over time to assess whether microbial growth has occurred for a given sample.

Abstract: Embodiments of the present invention are directed to a method for calibrating an imaging system for analyzing a plurality of molecular species in a sample. According to one embodiment, the method comprises acquiring a plurality of images of the sample with an image acquisition device at a plurality of different wavelengths, comparing a region of interest associated with at least one of the images acquired at one respective wavelength to a region of interest associated with at least one of the images acquired at a different wavelength, and aligning the plurality of images such that the region of interest associated with at least one of the images acquired at one respective wavelength corresponds to the region of interest associated with the at least one of the images acquired at a different wavelength.

Abstract: Embodiments of the present invention are directed to a method for determining an amount of a plurality of molecular species in a sample, each molecular specie being indicated by a dye. According to one embodiment, the amount of a plurality of molecular species is determined by acquiring a plurality of images of the sample, determining an amount of each molecular specie, as indicated by a respective dye, for each pixel at each corresponding pixel location in the plurality of images, and refining the amount of a plurality of molecular species at one or more pixel locations in the plurality of images. Associated systems and computer program products are also provided.

Abstract: Embodiments of the present invention are directed to a method for determining an amount of a plurality of molecular species in a sample, each molecular specie being indicated by a dye. According to one embodiment, the amount of a plurality of molecular species is determined by acquiring a plurality of images of the sample, determining an amount of each molecular specie, as indicated by a respective dye, for each pixel at each corresponding pixel location in the plurality of images, and refining the amount of a plurality of molecular species at one or more pixel locations in the plurality of images. Associated systems and computer program products are also provided.