Abstract: An analyzer having an inner chassis surrounded by a housing includes sample and dilution probes, a mixing housing including first and second mixing chambers, a flow cytometer including a flow cell, and sample and sheath pumps configured to perform first and second pluralities of tasks, respectively. The first plurality of tasks includes: aspirating sample into the sample probe, dispensing sample from the sample probe into the first and second mixing chambers, delivering first sample-dilution fluid mixture to the flow cell, and delivering second sample-dilution fluid mixture to the flow cell. The second plurality of tasks includes: dispensing sheath to the flow cell in cooperation with the delivery of the first sample-dilution fluid mixture to the flow cell, and dispensing sheath to the flow cell in cooperation with the delivery of the second sample-dilution fluid mixture to the flow cell.

Abstract: A medical apparatus for analyzing fluid samples includes an outer casing, a slide loading mechanism disposed within the outer casing for loading fluid analysis slides, a slide ejecting mechanism disposed within the outer casing for ejecting fluid analysis slides, an evaporation cap opening mechanism disposed within the outer casing for opening an evaporation cap, an evaporation cap closing mechanism disposed within the outer casing for closing an evaporation cap, a drawer locking mechanism disposed within the outer casing for locking a drawer associated with the outer casing, a camera disposed within the outer casing, and a robot disposed within the outer casing. The robot is movable in three dimensions and has means for conducting three or more of the following operations: slide loading; slide ejecting; evaporation cap opening; evaporation cap closing; drawer locking; and camera manipulation.

Abstract: A system and method for real-time location detection consists of a scalable real time location system (RTLS). It provides revised real time object location determinations. It includes a tag within a location environment, a processor to calculate a location of the tag, and at least one exclusion zone in the environment. Processing includes an original location determination of the tag and a revised location determination of the tag. The revised location determination is calculated by applying attributes of at least one exclusion zone to the original location determination of the tag. Some exclusion zones are defined by no-fly exclusion zones. The revised location determination improves the operation of the RTLS by correcting for impossible and improbable original location determinations. For embodiments, system deployment consists of three phases: collection of training and testing data, network training and testing, and network adaptive maintenance.

Abstract: A system and method for real-time location detection consists of three groups of components. Mobile subjects to be tracked are equipped with wireless transceivers capable of sending and optionally for receiving data over pre-determined radio frequency (RF) band(s). Router/base station access point devices are equipped with wireless transceivers capable of sending and receiving data over pre-determined radio frequency (RF) band(s) in order to communicate with mobile units. Routers are combined into specific overlapping router groups, with each group forming a spatial sub-network. System central processing and command station(s) perform data processing and implementation of computational models that determine the mobile unit location. System deployment consists of three phases: collection of training and testing data, network training and testing, and network adaptive maintenance.

Abstract: A system and method for real-time location detection consists of a scalable real time location system (RTLS). It provides revised real time object location determinations. It includes a tag within a location environment, a processor to calculate a location of the tag, and at least one exclusion zone in the environment. Processing includes an original location determination of the tag and a revised location determination of the tag. The revised location determination is calculated by applying attributes of at least one exclusion zone to the original location determination of the tag. Some exclusion zones are defined by no-fly exclusion zones. The revised location determination improves the operation of the RTLS by correcting for impossible and improbable original location determinations. For embodiments, system deployment consists of three phases: collection of training and testing data, network training and testing, and network adaptive maintenance.

Abstract: A medical apparatus for analyzing fluid samples includes an outer casing, a slide loading mechanism disposed within the outer casing for loading fluid analysis slides, a slide ejecting mechanism disposed within the outer casing for ejecting fluid analysis slides, an evaporation cap opening mechanism disposed within the outer casing for opening an evaporation cap, an evaporation cap closing mechanism disposed within the outer casing for closing an evaporation cap, a drawer locking mechanism disposed within the outer casing for locking a drawer associated with the outer casing, a camera disposed within the outer casing, and a robot disposed within the outer casing. The robot is movable in three dimensions and has means for conducting three or more of the following operations: slide loading; slide ejecting; evaporation cap opening; evaporation cap closing; drawer locking; and camera manipulation.

Abstract: A system and method for real-time location detection consists of three groups of components. Mobile subjects to be tracked are equipped with wireless transceivers capable of sending and optionally for receiving data over pre-determined radio frequency (RF) band(s). Router/base station access point devices are equipped with wireless transceivers capable of sending and receiving data over pre-determined radio frequency (RF) band(s) in order to communicate with mobile units. Routers are combined into specific overlapping router groups, with each group forming a spatial sub-network. System central processing and command station(s) perform data processing and implementation of computational models that determine the mobile unit location. System deployment consists of three phases: collection of training and testing data, network training and testing, and network adaptive maintenance.