Abstract: PTP timestamps are obtained and correlated to internal audio time and timestamps. This allows Ethernet/IP audio devices to be closely aligned with local digital audio devices to allow improved AEC operations. By performing repetitive PTP timestamps based on local audio time, drift between PTP time and local audio time is determined and corrected. By performing the PTP to local audio time operations on each independent Ethernet network, the Ethernet/IP audio devices can be split between independent LANs. If some local digital audio inputs formed from analog inputs are not aligned with other local digital audio inputs, signals can be provided in analog format and audio samples of the signals can be correlated to local audio time. With correlations performed as necessary based on the various audio inputs in use, high quality AEC operations are performed.

Abstract: PTP timestamps are obtained and correlated to internal audio time and timestamps. This allows Ethernet/IP audio devices to be closely aligned with local digital audio devices to allow improved AEC operations. By performing repetitive PTP timestamps based on local audio time, drift between PTP time and local audio time is determined and corrected. By performing the PTP to local audio time operations on each independent Ethernet network, the Ethernet/IP audio devices can be split between independent LANs. If some local digital audio inputs formed from analog inputs are not aligned with other local digital audio inputs, signals can be provided in analog format and audio samples of the signals can be correlated to local audio time. With correlations performed as necessary based on the various audio inputs in use, high quality AEC operations are performed.

Abstract: The invention concerns automated methods for assessing tissue morphometry in digital images of tissue sections derived from small intestine biopsy samples from patients submitted for evaluation of celiac disease. The methods generally involve digital image analysis of tissue section images, and specifically involve post-processing each image to produce a binary mask capturing the tissue area footprint on the glass slide. Virtual stereology probes are placed on each image and assessed to estimate the ratio of the surface area to volume of the tissue specimen. The surface area to volume ratio is used to diagnose celiac disease and make inferences about the severity of celiac disease in those individuals with a positive diagnosis of celiac disease.

Abstract: Feature analysis on consecutive tissue sections (FACTS) includes obtaining a plurality of consecutive tissue sections from a tissue sample, staining the sections with at least one biomarker, obtaining a digital image thereof, and identifying one or more regions of interest within a middle of the consecutive tissue sections. The digital images of the consecutive tissue sections are registered for alignment and the one or more regions of interest are transferred from the image of the middle section to the images of the adjacent sections. Each image of the consecutive tissue sections is then analyzed and scored as appropriate. Using FACTS methods, pathologist time for annotation is reduced to a single slide. Optionally, multiple middle sections may be annotated for regions of interest and transferred accordingly.

Abstract: Methods for cell-based tissue analysis utilize modern trends in digital microscopy to obtain, process, calibrate, and analyze digital images of tissue sections to quantify cell-based data for improved histological analysis. Using data from multiple images of a common tissue section, or data from images of multiple tissue sections, additional degrees of freedom are realized and the resulting analysis provides added depth to histological analysis of tissue samples. With computerized analytical methods, speed and accuracy of histological analysis is greatly improved.

Abstract: Methods for cell-based tissue analysis utilize modern trends in digital microscopy to obtain, process, calibrate, and analyze digital images of tissue sections to quantify cell-based data for improved histological analysis. Using data from multiple images of a common tissue section, or data from images of multiple tissue sections, additional degrees of freedom are realized and the resulting analysis provides added depth to histological analysis of tissue samples. With computerized analytical methods, speed and accuracy of histological analysis is greatly improved.

Abstract: Feature analysis on consecutive tissue sections (FACTS) includes obtaining a plurality of consecutive tissue sections from a tissue sample, staining the sections with at least one biomarker, obtaining a digital image thereof, and identifying one or more regions of interest within a middle of the consecutive tissue sections. The digital images of the consecutive tissue sections are registered for alignment and the one or more regions of interest are transferred from the image of the middle section to the images of the adjacent sections. Each image of the consecutive tissue sections is then analyzed and scored as appropriate. Using FACTS methods, pathologist time for annotation is reduced to a single slide. Optionally, multiple middle sections may be annotated for regions of interest and transferred accordingly.

Abstract: Feature analysis on consecutive tissue sections (FACTS) includes obtaining a plurality of consecutive tissue sections from a tissue sample, staining the sections with at least one biomarker, obtaining a digital image thereof, and identifying one or more regions of interest within a middle of the consecutive tissue sections. The digital images of the consecutive tissue sections are registered for alignment and the one or more regions of interest are transferred from the image of the middle section to the images of the adjacent sections. Each image of the consecutive tissue sections is then analyzed and scored as appropriate. Using FACTS methods, pathologist time for annotation is reduced to a single slide. Optionally, multiple middle sections may be annotated for regions of interest and transferred accordingly.

Abstract: A cargo carrying system for use with a vehicle. The system includes a platform having roller members on an underside thereof to facilitate movement of the platform along the ground. Also included is a connection assembly which serves to permit the attachment of the platform to a vehicle. In one embodiment, both a first height adjustment mechanism and a separate, finely adjustable height mechanism are included between the connection assembly and the platform. Also included is an intermediate, slidable member used between the platform and connection member to facilitate the connection of the platform to the vehicle.

Abstract: Systems and methods for storing protein structure information are provided. The system comprises a non-public database storing protein structure information, wherein the non-public database is coupled to a public database of non-proprietary protein structure information and to non-public sources of proprietary protein structure information. The non-public database may also be coupled to a database having protein structure information for substantially all the proteins of at least one organism genome. The method may comprise loading protein structure data from at least one public database and loading protein structure data from one or more proprietary sources of protein structure information. The public database may comprise the Protein Data Bank (PDB). Certain types of additional information are also advantageously loaded into the database. These may include classification data corresponding to at least one protein ontology.

Abstract: A database-driven cytometry network allows for acquisition, analysis, and viewing of large amounts of cytometry data from multiple cytometers. Data from multiple instruments are uploaded to a database, where combined compensation and calibration matrices are applied automatically to correct for both spectral overlap among acquisition channels and instrument-dependent variations. The resulting instrument-independent data are gated automatically using common template gates. A user at a client computer can view and perform statistical analyses on any desired subset of the gated data.