Abstract: The present invention relates to protein purification, primarily in the chromatographic field. More closely, the invention relates to affinity chromatography using a split intein system with an improved C-intein tag and N-intein ligand, wherein the target protein may be purified as a tag-less end product with a native N-terminus.

Abstract: The subject matter of the present disclosure generally relates to techniques for image analysis. In certain embodiments, various morphological or intensity-based features as well as different thresholding approaches may be used to segment the subpopulation of interest and classify object in the images.

Abstract: The subject matter of the present disclosure generally relates to techniques for image analysis. In certain embodiments, various morphological or intensity-based features as well as different thresholding approaches may be used to segment the subpopulation of interest and classify object in the images.

Abstract: Disclosed are novel computer-implemented methods for creating a blood vessel map of a biological tissue. The methods comprise the steps of, accessing image data corresponding to multi-channel multiplexed image of a fluorescently stained biological tissue manifesting expression levels of a primary marker and at least one auxiliary marker of blood vasculature, and extracting features of blood vessels using the primary marker as an input to create a single channel segmentation of the blood vessels. The method further comprises the steps of extracting features of blood vessels using the auxiliary marker to create auxiliary channels as a second input and apply multi-channel blood vessel enhancement. Blood vessel maps are created using the features and tracing the blood vasculature by iteratively extending the centerlines of the initial segmentation using statistical models and geometric rules.

Abstract: The disclosed embodiments are directed to a method for accurately counting and characterizing multiple cell phenotypes and sub-phenotypes within cell populations simultaneously by exploiting biomarker co-expression levels within cells of different phenotypes in the same tissue sample. The disclosed embodiments are also directed to a simple intuitive interface enabling medical staff (e.g., pathologists, biologists) to annotate and evaluate different cell phenotypes used in the algorithm and the presented through the interface.

Abstract: The present disclosure relates to characterization of biological samples. By way of example, a biological sample may be contacted with a plurality of probes specific for targets in the sample, such as probes for immune markers and segmenting probes. Acquired image data of the sample may be used to segment the images into epithelial and stromal regions to characterize individual cells in the sample based on the binding of the probes. Further, the biological sample may be characterized by a distribution, location, and type of a plurality of the characterized cells.

Abstract: Disclosed are novel computer-implemented methods for creating a blood vessel map of a biological tissue. The methods comprise the steps of, accessing image data corresponding to multi-channel multiplexed image of a fluorescently stained biological tissue manifesting expression levels of a primary marker and at least one auxiliary marker of blood vasculature, and extracting features of blood vessels using the primary marker as an input to create a single channel segmentation of the blood vessels. The method further comprises the steps of extracting features of blood vessels using the auxiliary marker to create auxiliary channels as a second input and apply multi-channel blood vessel enhancement.

Abstract: The disclosed embodiments are directed to a method for accurately counting and characterizing multiple cell phenotypes and sub-phenotypes within cell populations simultaneously by exploiting biomarker co-expression levels within cells of different phenotypes in the same tissue sample. The disclosed embodiments are also directed to a simple intuitive interface enabling medical staff (e.g., pathologists, biologists) to annotate and evaluate different cell phenotypes used in the algorithm and the presented through the interface.

Abstract: The present disclosure relates to characterization of biological samples. By way of example, a biological sample may be contacted with a plurality of probes specific for targets in the sample, such as probes for immune markers and segmenting probes. Acquired image data of the sample may be used to segment the images into epithelial and stromal regions to characterize individual cells in the sample based on the binding of the probes. Further, the biological sample may be characterized by a distribution, location, and type of a plurality of the characterized cells.

Abstract: Exemplary embodiments enable determination of spatial proximity between two or more features in biological tissue. An exemplary method includes identifying a morphological feature in an image of the biological tissue based on expression levels of a first biomarker indicative of the morphological feature, and receiving a result of a segmentation analysis performed on the image of the biological tissue identifying a set of morphological units in the image external to the morphological feature. An exemplary method includes determining an expression level of a second biomarker corresponding to each unit in the set of morphological units in the image of the biological tissue, and determining a spatial distance between the morphological feature and each unit in the set of morphological units.

Abstract: A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed.

Abstract: A closed loop automated method for staining of a biological sample is provided. The method comprises providing a biological sample, staining at least a portion of the biological sample by flowing in a reagent, monitoring one or more optical characteristics of the biological sample, and calculating a figure of merit based on at least one of the optical characteristics. An automated device for iterative staining of a biological sample is also provided.

Abstract: Exemplary embodiments enable determination of spatial proximity between two or more features in biological tissue. An exemplary method includes identifying a morphological feature in an image of the biological tissue based on expression levels of a first biomarker indicative of the morphological feature, and receiving a result of a segmentation analysis performed on the image of the biological tissue identifying a set of morphological units in the image external to the morphological feature. An exemplary method includes determining an expression level of a second biomarker corresponding to each unit in the set of morphological units in the image of the biological tissue, and determining a spatial distance between the morphological feature and each unit in the set of morphological units.

Abstract: A closed loop automated method for staining of a biological sample is provided. The method comprises providing a biological sample, staining at least a portion of the biological sample by flowing in a reagent, monitoring one or more optical characteristics of the biological sample, and calculating a figure of merit based on at least one of the optical characteristics. An automated device for iterative staining of a biological sample is also provided.

Abstract: The invention provides a method for antigen retrieval of a formaldehyde-fixed tissue sample comprising incubating a formaldehyde-fixed tissue sample in a first antigen retrieval solution at a temperature of greater than 90° C., transferring the tissue sample to a second antigen retrieval solution, and incubating the tissue sample in the second antigen retrieval solution at a temperature of greater than 90° C. The invention also provides a kit and sample delivery device for carrying out the method.

Abstract: The invention provides a method for antigen retrieval of a formaldehyde-fixed tissue sample comprising incubating a formaldehyde-fixed tissue sample in a first antigen retrieval solution at a temperature of greater than 90° C., transferring the tissue sample to a second antigen retrieval solution, and incubating the tissue sample in the second antigen retrieval solution at a temperature of greater than 90° C. The invention also provides a kit and sample delivery device for carrying out the method.

Abstract: The invention provides a method for antigen retrieval of a formaldehyde-fixed tissue sample comprising incubating a formaldehyde-fixed tissue sample in a first antigen retrieval solution at a temperature of greater than 90° C., transferring the tissue sample to a second antigen retrieval solution, and incubating the tissue sample in the second antigen retrieval solution at a temperature of greater than 90° C. The invention also provides a kit and sample delivery device for carrying out the method.

Abstract: A system for measuring one or more ultrasound parameters of a suspension comprising particulate biomaterial dispersed in a liquid carrier comprising, a bioprocessor for processing the particulate biomaterial; an immersible device comprising an ultrasound probes and a reflector; a housing, that fixes the probe and the reflector at positions with a space in between the probe surface and the reflective surface, comprising an opening into the housing that is of a size sufficient to allow the suspension to flow into the space between the probe surface and the reflective surface; an ultrasound wave generator/receiver device; and a signal processing device.