Abstract: A method and system for classification of cells and particles in a biological sample using an automated image-based feature extraction and classification architecture. A method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions of the image based on the content and location of colored pixels, selecting a subset of the extracted features, and mapping the subset of the extracted features into a classifier architecture. In a majority of cases, the first level model architecture provides an accurate identification of the cell or particle. In a minority of cases, the classification of the cell or particle requires a second level step requiring the use of numerical or categorical values from the first level in combination with a second level model.

Abstract: Methods and systems for detecting and reporting subpopulations of neutrophils may involve using a nonce parameter to elucidate one or more other cell population parameters. Methods and systems for detecting and reporting subpopulations of neutrophils may involve structuring reports to elucidate one or more cell population parameters, particularly, but not exclusively, where the report of a cell population parameter might otherwise be ambiguous or a higher than usual likelihood of confusion.

Abstract: Systems and methods here may include a vehicle with automated subcomponents for harvesting delicate items such as berries. In some examples, the vehicle includes a targeting subcomponent and a harvesting subcomponent. In some examples, the targeting subcomponent utilizes multiple cameras to create three-dimensional maps of foliage and targets. In some examples, identifying targets may be done remotely from the harvesting machine, and target coordinates communicated to the harvesting machine for robotic harvesting.

Abstract: Systems and methods here may include a vehicle with automated subcomponents for harvesting delicate items such as berries. In some examples, the vehicle includes a targeting subcomponent and a harvesting subcomponent. In some examples, the targeting subcomponent utilizes multiple cameras to create three-dimensional maps of foliage and targets. In some examples, identifying targets may be done remotely from the harvesting machine, and target coordinates communicated to the harvesting machine for robotic harvesting.

Abstract: A method and system for classification of cells and particles in a biological sample using an automated image-based feature extraction and classification architecture. A method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions of the image based on the content and location of colored pixels, selecting a subset of the extracted features, and mapping the subset of the extracted features into a classifier architecture. In a majority of cases, the first level model architecture provides an accurate identification of the cell or particle. In a minority of cases, the classification of the cell or particle requires a second level step requiring the use of numerical or categorical values from the first level in combination with a second level model.

Abstract: A system for fabrication of a wind turbine blade including a laser projection which identifies the dimensions for a plurality of layup segments; determines the sequence of layup segments within first and second sections of the mold, wherein the sequence of layup segments within the second section of the mold are synchronized with the layup segments within a first section of the mold. The system also includes a projection device visually depicting the boundaries of a plurality of layup segments onto the mold. This system automates fabrication of composite structures by setting a pace for each task and ensuring operators complete each task within the allotted period. The projection system and layup delivery mechanism can advance with respect the mold to ensure the pace is maintained and an overall product cycle time is adhered to.

Abstract: A method and system for classification of cells and particles in a biological sample using an automated image-based feature extraction and classification architecture. A method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions of the image based on the content and location of colored pixels, selecting a subset of the extracted features, and mapping the subset of the extracted features into a classifier architecture. In a majority of cases, the first level model architecture provides an accurate identification of the cell or particle. In a minority of cases, the classification of the cell or particle requires a second level step requiring the use of numerical or categorical values from the first level in combination with a second level model.

Abstract: Instances of the present technology may include a method for operating a hematology analyzer. The method may include passing a control material through a hematology analyzer. The control material may include a first cell population and a second cell population. The method may also include determining a first cell population volume measurement and a second cell population volume measurement. A first value of a first cell population distribution width and a second value of a second cell population distribution width may be calculated. The method may include comparing the first value to a first reference range. The method may also include comparing the second value to a second reference range. Furthermore, the method may include classifying an operational status of the hematology analyzer based on the comparison of the first value to the first reference range and based on the comparison of the second value to the second reference range.

Abstract: Systems and methods of assessing a probability that an individual will develop sepsis are provided. The systems and methods can include obtaining a set of parameters associated with the individual including white blood cell count (WBC) and monocyte distribution width (MDW) value, and determining whether the set of parameters provides an elevated risk status by comparing at least the WBC and the MDW value with respective predetermined criteria. In the event that the set of parameters is determined to provide the elevated risk status, the systems and methods can further include obtaining a secondary parameter associated with the individual; and providing the probability that the individual will develop sepsis.

Abstract: A system for fabrication of a wind turbine blade including a laser projection which identifies the dimensions for a plurality of layup segments; determines the sequence of layup segments within first and second sections of the mold, wherein the sequence of layup segments within the second section of the mold are synchronized with the layup segments within a first section of the mold. The system also includes a projection device visually depicting the boundaries of a plurality of layup segments onto the mold. This system automates fabrication of composite structures by setting a pace for each task and ensuring operators complete each task within the allotted period. The projection system and layup delivery mechanism can advance with respect the mold to ensure the pace is maintained and an overall product cycle time is adhered to.

Abstract: A system for fabrication of a wind turbine blade including a laser projection which identifies the dimensions for a plurality of layup segments; determines the sequence of layup segments within first and second sections of the mold, wherein the sequence of layup segments within the second section of the mold are synchronized with the layup segments within a first section of the mold. The system also includes a projection device visually depicting the boundaries of a plurality of layup segments onto the mold. This system automates fabrication of composite structures by setting a pace for each task and ensuring operators complete each task within the allotted period. The projection system and layup delivery mechanism can advance with respect the mold to ensure the pace is maintained and an overall product cycle time is adhered to.

Abstract: A method and system for classification of cells and particles in a biological sample using an automated image-based feature extraction and classification architecture. A method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions of the image based on the content and location of colored pixels, selecting a subset of the extracted features, and mapping the subset of the extracted features into a classifier architecture. In a majority of cases, the first level model architecture provides an accurate identification of the cell or particle. In a minority of cases, the classification of the cell or particle requires a second level step requiring the use of numerical or categorical values from the first level in combination with a second level model.

Abstract: A method and system for classification of cells and particles in a biological sample using an automated image-based feature extraction and classification architecture. A method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions of the image based on the content and location of colored pixels, selecting a subset of the extracted features, and mapping the subset of the extracted features into a classifier architecture. In a majority of cases, the first level model architecture provides an accurate identification of the cell or particle. In a minority of cases, the classification of the cell or particle requires a second level step requiring the use of numerical or categorical values from the first level in combination with a second level model.

Abstract: Embodiments of the present invention encompass systems and methods for detecting the presence of a test pad on a test strip. Exemplary techniques involve receiving a test strip having at least one test pad, where individual test pads have a pad width with ink disposed on two ink zones at two opposing sides of the width of the pad, illuminating the at least one test pad with a light source, detecting reflected signals from the test pad, generating an image comprising of pixels of the two ink zones based on the reflected signals, detecting the presence of each of the ink zones by comparing the number of consecutive pixels against a predetermined threshold, and determining the presence of the test pad on the test strip if two ink zones are detected within the pad width.

Abstract: Systems and methods here may include a vehicle with automated subcomponents for harvesting delicate targets such as agriculture. In some examples, the vehicle includes a targeting subcomponent and a harvesting subcomponent. In some examples, the harvesting subcomponent includes vacuum features which gently attach to target agriculture to secure it. In some examples, the harvesting subcomponent includes padded spoons to grasp and remove the target agriculture from the foliage.

Abstract: Systems and methods here may include a vehicle with automated robotic subcomponents for harvesting delicate agricultural items such as berries. In some examples, the vehicle includes a targeting subcomponent and a harvesting subcomponent. Which may utilize multiple cameras to create three dimensional maps of foliage and targets. In some examples, the targeting subcomponent includes automated or semi-automated harvesting targets to be mapped and passed to the harvesting subcomponent. In some examples, the harvesting subcomponent includes vacuum features and padded spoons to detach the target agriculture from the stem.

Abstract: Systems and methods here may include a vehicle with automated subcomponents for harvesting delicate items such as berries. In some examples, the vehicle includes a targeting subcomponent and a harvesting subcomponent. In some examples, the targeting subcomponent utilizes multiple cameras to create three-dimensional maps of foliage and targets. In some examples, identifying targets may be done remotely from the harvesting machine, and target coordinates communicated to the harvesting machine for robotic harvesting.

Abstract: A system for fabrication of a wind turbine blade including a laser projection which identifies the dimensions for a plurality of layup segments; determines the sequence of layup segments within first and second sections of the mold, wherein the sequence of layup segments within the second section of the mold are synchronized with the layup segments within a first section of the mold. The system also includes a projection device visually depicting the boundaries of a plurality of layup segments onto the mold. This system automates fabrication of composite structures by setting a pace for each task and ensuring operators complete each task within the allotted period. The projection system and layup delivery mechanism can advance with respect the mold to ensure the pace is maintained and an overall product cycle time is adhered to.

Abstract: A system for fabrication of a wind turbine blade including a laser projection which identifies the dimensions for a plurality of layup segments; determines the sequence of layup segments within first and second sections of the mold, wherein the sequence of layup segments within the second section of the mold are synchronized with the layup segments within a first section of the mold. The system also includes a projection device visually depicting the boundaries of a plurality of layup segments onto the mold. This system automates fabrication of composite structures by setting a pace for each task and ensuring operators complete each task within the allotted period. The projection system and layup delivery mechanism can advance with respect the mold to ensure the pace is maintained and an overall product cycle time is adhered to.

Abstract: Methods and systems for detecting and reporting subpopulations of neutrophils may involve using a nonce parameter to elucidate one or more other cell population parameters. Methods and systems for detecting and reporting subpopulations of neutrophils may involve structuring reports to elucidate one or more cell population parameters, particularly, but not exclusively, where the report of a cell population parameter might otherwise be ambiguous or a higher than usual likelihood of confusion.