Abstract:
A computer implemented method for localizing handheld analytical devices in a point of care environment is presented. The method comprises associating a location identifier to a plurality of locations within the point of care environment and storing the location identifier into a database, at each of the plurality of locations, capturing signal patterns using signal receiver(s) of the handheld analytical devices, storing all signal patterns captured in a database, capturing a current signal pattern using signal receiver(s) of a handheld analytical device to be localized, and providing a descriptive localization by a control unit indicative of its position relative to one or more of the plurality of locations within the point of care environment associated with one or more signal pattern(s) stored in the database matching the current signal pattern.
Abstract:
A device for sampling, transporting and/or disposal of fluid media in the nl and μl-range comprises a substrate with an open or closed capillary-like groove or channel respectively, the substrate with the open or closed groove or capillary respectively is bent or arcuated at least at one location. The substrate comprises at least one end into which the open or closed capillary-like groove or channel respectively is extended, which end is shaped according to its application or use as e.g. needle-like, straight-lined cut, tip-like, at least most half circle-shape, rounded, etc.
Abstract:
A device for sampling, transporting and/or disposal of fluid media in the nI and μl-range comprises a substrate with an open or closed capillary-like groove or channel respectively, the substrate with the open or closed groove or capillary respectively is bent or arcuated at least at one location. The substrate comprises at least one end into which the open or closed capillary-like groove or channel respectively is extended, which end is shaped according to its application or use as e.g. needle-like, straight-lined cut, tip-like, at least most half circle-shape, rounded, etc.
Abstract:
A method is presented. The method includes receiving at least one order, generating one or more optimization problem instances using one or more resource descriptions of automated laboratory equipment, one or more protocol descriptions of the automated laboratory equipment, an objective function and the at least one order. The method further includes providing the one or more optimization problem instances as input to a constraint optimization solver and processing the one or more optimization problem instances by the constraint optimization solver to generate the schedule of operations to carry out the at least one order on the automated laboratory equipment.