Abstract: A cell deposition and imaging apparatus comprises: a printing mechanism comprising at least one channel, the at least one channel of the printing mechanism arranged to: receive a sample of a cell-carrying fluid comprising at least one cell-type; and deposit the sample of the cell-carrying fluid onto a target area of a substrate, an imaging system arranged to image the target area; and a transportation system arranged to move the target area between a printing position, in which the target area is located substantially adjacent to the printing mechanism, and an imaging position, in which the target area is located substantially adjacent to the imaging system; wherein the imaging system comprises an imager capable of imaging a region of the substrate wherein the region is smaller than the target area and the imaging system is arranged to image all of the target area by moving the target area relative to the imager.

Abstract: The present invention relates to microfluidic fluidic systems and methods for the in vitro modeling diseases of the lung and small airway. In one embodiment, the invention relates to a system for testing responses of a microfluidic Small Airway-on-Chip infected with one or more infectious agents (e.g. respiratory viruses) as a model of respiratory disease exacerbation (e.g. asthma exacerbation). In one embodiment, this disease model on a microfluidic chip allows for a) the testing of anti-inflammatory and/or anti-viral compounds introduced into the system, as well as b) the monitoring of the participation, recruitment and/or movement of immune cells, including the transmigration of cells. In particular, this system provides, in one embodiment, an in-vitro platform for modeling severe asthma as “Severe Asthma-on-Chip.” In some embodiments, this invention provides a model of viral-induced asthma in humans for use in identifying potentially effective treatments.

Abstract: The present invention relates to microfluidic fluidic systems and methods for the in vitro modeling diseases of the lung and small airway. In one embodiment, the invention relates to a system for testing responses of a microfluidic Small Airway-on-Chip infected with one or more infectious agents (e.g. respiratory viruses) as a model of respiratory disease exacerbation (e.g. asthma exacerbation). In one embodiment, this disease model on a microfluidic chip allows for a) the testing of anti-inflammatory and/or anti-viral compounds introduced into the system, as well as b) the monitoring of the participation, recruitment and/or movement of immune cells, including the transmigration of cells. In particular, this system provides, in one embodiment, an in-vitro platform for modeling severe asthma as “Severe Asthma-on-Chip.” In some embodiments, this invention provides a model of viral-induced asthma in humans for use in identifying potentially effective treatments.

Abstract: A method of forming an imaging calibration device for a biological material imaging system is provided. A first set of one or more discrete regions is provided upon or within a retaining member. Each said region of the first set comprises a selected tissue stain material, wherein each of the selected tissue stain materials exhibits a predetermined optical response inside a colour-stable region of a chromaticity diagram defined by the ellipse x2/a2+y2/b2=1, where a=0.21, b=0.135, the rotation is ?0.07 rad and the translation is (0.38,0.333). A second set of one or more discrete regions is also provided upon or within the retaining member. The second set is formed of one or more coloured filters having a predetermined optical response outside the colour-stable region.

Abstract: An in vitro microfluidic gut-on-chip is described herein that mimics the structure and at least one function of specific areas of the gastrointestinal system in vivo. In particular, a multicellular, layered, microfluidic culture is described, allowing for interactions between lamina propria-derived cells and gastrointestinal epithelial cells and endothelial cells. This in vitro microfluidic system can be used for modeling inflammatory gastrointestinal tissue, e.g., Crohn's disease, colitis and other inflammatory gastrointestinal disorders. These multicellular, layered microfluidic gut-on-chip further allow for comparisons between types of gastrointestinal tissues, e.g., small intestinal deuodejeum, small intestinal ileium, large intestinal colon, etc., and between disease states of gastrointestinal tissue, i.e. healthy, pre-disease and diseased areas.

Abstract: An in vitro microfluidic gut-on-chip is described herein that mimics the structure and at least one function of specific areas of the gastrointestinal system in vivo. In particular, a multicellular, layered, microfluidic culture is described, allowing for interactions between lamina propria-derived cells and gastrointestinal epithelial cells and endothelial cells. This in vitro microfluidic system can be used for modeling inflammatory gastrointestinal tissue, e.g., Crohn's disease, colitis and other inflammatory gastrointestinal disorders. These multicellular, layered microfluidic gut-on-chip further allow for comparisons between types of gastrointestinal tissues, e.g., small intestinal deuodejeum, small intestinal ileium, large intestinal colon, etc., and between disease states of gastrointestinal tissue, i.e. healthy, pre-disease and diseased areas.

Abstract: The present invention relates to a combination of microbes, cell culture systems and microfluidic fluidic systems for use in providing a human Intestine On-Chip with optimal intestinal motility. More specifically, in some embodiments, a microfluidic chip containing intestinal epithelial cells co-cultured with intestinal endothelial cells in the presence of bacteria, such as probiotic bacteria, may find use in providing an Intestine-On-Chip for testing intestinal motility function. In some embodiments, an Intestine On-Chip may be used for identifying (testing) therapeutic compounds continuing probiotic microbes or compounds for inducing intestinal motility for use in treating gastrointestinal disorders or diseases related to intestinal function.

Abstract: A method for manufacturing a sandal, wherein various aspects of said sandal may be customized for a wearer's feet. The aspects can involve one or more of: the toe thong location, the position of the foot strap, and the arch support profile and arch support position. For a particular wearer, the optimal locations/settings of one or more of the foregoing aspects may be determined by applying a computer algorithm, which takes into account the foot data of the wearer, which foot data may be obtained from image/video capture technology. The method then assembles a sandal having the optimal locations/settings, such that the foot strap position, the arch support profile and/or the arch support position, as the case may be, are customized for the wearer. Also disclosed herein is a sandal having a foot strap position and/or an arch support profile and arch support position that is customized for the wearer, and made in accordance with the above-described methods.

Abstract: A method for manufacturing a sandal, wherein the toe thong location of said sandal is customised for a wearer. For a particular wearer, the optimal location of the toe thong of the sandal may be determined by applying a computer algorithm, which takes into account foot data of the wearer, which foot data may be obtained from image/video capture technology. The method makes use of a custom toe thong insert, which is embedded within the sole of the sandal. The custom toe thong insert is configured to receive and securely engage with a fastener attached to the toe thong and foot strap, such that the toe thong will be positioned at or proximate to the optimal location for the particular wearer. Also disclosed herein is a sandal with a customised toe thong location that is made in accordance with the above-described method.

Abstract: A subscriber device reports network operation conditions, such as network performance incidents, to receive feedback from the network related to the incident and available or possibly available solutions, and to produce network intelligence suitable for network planning and network performance enhancement. Reporting of network performance incidents can be characterized by location and time of occurrence, wherein this intelligence is provided by the user device. Feedback provided by the network is based on the network performance data received as part of reporting an incident. The reporting described herein enables a network operator to generate network planning intelligence based on actual network performance as experienced at the subscriber level.

Abstract: An in vitro microfluidic gut-on-chip is described herein that mimics the structure and at least one function of specific areas of the gastrointestinal system in vivo. In particular, a multicellular, layered, microfluidic culture is described, allowing for interactions between lamina propria-derived cells and gastrointestinal epithelial cells and endothelial cells. This in vitro microfluidic system can be used for modeling inflammatory gastrointestinal tissue, e.g., Crohn's disease, colitis and other inflammatory gastrointestinal disorders. These multicellular, layered microfluidic gut-on-chip further allow for comparisons between types of gastrointestinal tissues, e.g., small intestinal deuodejeum, small intestinal ileium, large intestinal colon, etc., and between disease states of gastrointestinal tissue, i.e. healthy, pre-disease and diseased areas.

Abstract: An in vitro microfluidic gut-on-chip is described herein that mimics the structure and at least one function of specific areas of the gastrointestinal system in vivo. In particular, a multicellular, layered, microfluidic culture is described, allowing for interactions between lamina propria-derived cells and gastrointestinal epithelial cells and endothelial cells. This in vitro microfluidic system can be used for modeling inflammatory gastrointestinal tissue, e.g., Crohn's disease, colitis and other inflammatory gastrointestinal disorders. These multicellular, layered microfluidic gut-on-chip further allow for comparisons between types of gastrointestinal tissues, e.g., small intestinal deuodejeum, small intestinal ileium, large intestinal colon, etc., and between disease states of gastrointestinal tissue, i.e. healthy, pre-disease and diseased areas.

Abstract: Devices, systems, and methods are disclosed to offload the usage of a cellular network by intelligent selection of broadband network connections such as Wi-Fi access points. A Wi-Fi transceiver on a mobile device is activated when certain conditions are met, such as a time, location, recognition of a radiofrequency (RF) environment, etc. The conditions are correlated with a database of known locations in which a one or more Wi-Fi access points are determined to exist. The Wi-Fi transceiver on the mobile device is activated and commanded to connect to a particular Wi-Fi access point. Dynamic intelligence ensures that the appropriate connection method is used, and minimizes handovers to networks or access points that are unreliable or that are predicted to become inaccessible to the mobile device.

Abstract: A subscriber device reports network operation conditions, such as network performance incidents, to receive feedback from the network related to the incident and available or possibly available solutions, and to produce network intelligence suitable for network planning and network performance enhancement. Reporting of network performance incidents can be characterized by location and time of occurrence, wherein this intelligence is provided by the user device. Feedback provided by the network is based on the network performance data received as part of reporting an incident. The reporting described herein enables a network operator to generate network planning intelligence based on actual network performance as experienced at the subscriber level.

Abstract: A subscriber device reports network operation conditions, such as network performance incidents, to receive feedback from the network related to the incident and available or possibly available solutions, and to produce network intelligence suitable for network planning and network performance enhancement. Reporting of network performance incidents can be characterized by location and time of occurrence, wherein this intelligence is provided by the user device. Feedback provided by the network is based on the network performance data received as part of reporting an incident. The reporting described herein enables a network operator to generate network planning intelligence based on actual network performance as experienced at the subscriber level.

Abstract: A system for passive estimation of throughput in an electronic network is disclosed. The system may include an plurality of mobile devices configured to operate in the network and may further include an electronic data processor. The processor may be configured to access flow records for data flows associated with the mobile devices during a predetermined time interval. Additionally, the processor may be configured to annotate the flow records with an application field and a content provider field. The processor may also be configured to determine a flow type of each data flow based on the application field and the content provider field of the flow records. Furthermore, the processor may be configured to generate a throughput index that only includes non-rate-limited flow types. Moreover, the processor may be configured to estimate maximum throughput for each data flow having non-rate-limited flow types in the throughput index.

Abstract: A subscriber device reports network operation conditions, such as network performance incidents, to receive feedback from the network related to the incident and available or possibly available solutions, and to produce network intelligence suitable for network planning and network performance enhancement. Reporting of network performance incidents can be characterized by location and time of occurrence, wherein this intelligence is provided by the user device. Feedback provided by the network is based on the network performance data received as part of reporting an incident. The reporting described herein enables a network operator to generate network planning intelligence based on actual network performance as experienced at the subscriber level.

Abstract: System(s), device(s), method(s), and user interfaces are provided to enable a subscriber device to report network operation conditions, such as network performance incidents, to receive feedback from the network related to the incident and available or possibly available solutions, and to produce network intelligence suitable for network planning and network performance enhancement. Reporting of network performance incidents can be characterized by location and time of occurrence, wherein these intelligence is provided by the user device. Feedback provided by the network is based on the network performance data received as part of reporting an incident. The reporting described herein enables a network operator to generate network planning intelligence based on actual network performance as experienced at the subscriber level.

Abstract: Devices, systems, and methods are disclosed to offload the usage of a cellular network by intelligent selection of broadband network connections such as Wi-Fi access points. A Wi-Fi transceiver on a mobile device is activated when certain conditions are met, such as a time, location, recognition of a radiofrequency (RF) environment, etc. The conditions are correlated with a database of known locations in which a one or more Wi-Fi access points are determined to exist. The Wi-Fi transceiver on the mobile device is activated and commanded to connect to a particular Wi-Fi access point. Dynamic intelligence ensures that the appropriate connection method is used, and minimizes handovers to networks or access points that are unreliable or that are predicted to become inaccessible to the mobile device.

Abstract: Devices, systems, and methods are disclosed to offload the usage of a cellular network by intelligent selection of broadband network connections such as Wi-Fi access points. A Wi-Fi transceiver on a mobile device is activated when certain conditions are met, such as a time, location, recognition of a radiofrequency (RF) environment, etc. The conditions are correlated with a database of known locations in which a one or more Wi-Fi access points are determined to exist. The Wi-Fi transceiver on the mobile device is activated and commanded to connect to a particular Wi-Fi access point. Dynamic intelligence ensures that the appropriate connection method is used, and minimizes handovers to networks or access points that are unreliable or that are predicted to become inaccessible to the mobile device.