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Techniques for analyzing an array of compounds utilizing a high throughput microfluidic system are provided. The system can translate a plurality of multiwell plates through various stations for analysis. Effects to sample compounds can be identified according to deviations in a steady state signal.

Techniques for analyzing an array of compounds utilizing a high throughput microfluidic system are provided. The system can translate a plurality of multiwell plates through various stations for analysis. Effects to sample compounds can be identified according to deviations in a steady state signal. Also, a user can enter the dwell times for sample compounds and a buffer solution so that the system will alternatingly inject the sample compounds and buffer solution into a microfluidic device according to the specified dwell times.

대표청구항 ▼

Techniques for analyzing an array of compounds utilizing a high throughput microfluidic system are provided. The system can translate a plurality of multiwell plates through various stations for analysis. Effects to sample compounds can be identified according to deviations in a steady state signal.

Techniques for analyzing an array of compounds utilizing a high throughput microfluidic system are provided. The system can translate a plurality of multiwell plates through various stations for analysis. Effects to sample compounds can be identified according to deviations in a steady state signal. Also, a user can enter the dwell times for sample compounds and a buffer solution so that the system will alternatingly inject the sample compounds and buffer solution into a microfluidic device according to the specified dwell times. sition of said each of said selectable plurality of vehicles; for a selectable plurality of vehicles iii. generating a probability density function estimation from each of said position of said each of said selectable plurality of vehicles; and iv. defining said traffic lanes within said traffic monitoring system from said probability density function estimation. 9. The sensor as recited in claim 8 wherein said transceiver comprises: a. a transmitter for transmitting an electromagnetic signal of a known power toward said traffic lanes; and b. a receiver for receiving a reflected power corresponding to a portion of said electromagnetic signal as reflected from each of said selectable plurality of vehicles. 10. The sensor as recited in claim 8 wherein said processor further includes executable instructions for performing the steps of: a. partitioning said field of view of said sensor into range bins wherein each of said traffic lanes includes a plurality of range bins each having a received power range associated therewith; and b. assigning said position of said each of said selectable plurality of vehicles to a corresponding one of said range bins when said received power from each of said selectable plurality of vehicles corresponds with said received power range of said corresponding one of said plurality of range bins. 11. The sensor as recited in claim 10 wherein said processor further includes executable instructions for performing the step of: a. generating a histogram of said positions within said plurality of range bins. 12. The sensor as recited in claim 11 wherein said executable instructions for defining said traffic lanes further comprises executable instructions for performing the steps of: a. identifying probability peaks on said histogram of said positions; and b. defining boundaries around each of said probability peaks, said boundaries about each of said probability peaks representing one of said traffic lanes therebetween. 13. The sensor as recited in claim 8 wherein said executable instructions for performing the steps of generating a probability density function estimation further comprises executable instructions for performing the step of: a. weighting for more statistical significance more recent ones of each of said positions of each of said selectable plurality of vehicles than stale ones of each of said positions. 14. The sensor as recited in claim 8 further comprising executable instructions for performing the steps of: a. assigning a traffic flow direction to said position of said each of said selectable plurality of vehicles; b. recording said traffic flow direction to said position of said each of said selectable plurality of vehicles; c. generating probability density function estimations for each of said traffic flow directions; and d. assigning said traffic flow directions to said traffic lanes. 15. In a traffic monitoring sensor, including a transceiver and a processor, a computer-readable medium having computer executable instructions thereon for execution by said processor for performing the steps of: a. for a selectable plurality of vehicles, i. detecting each of said selectable plurality of vehicles present within a field of view of said sensor; ii. estimating a position of said each of said selectable plurality of vehicles; iii. recording said position of said each of said selectable plurality of vehicles; b. generating a probability density function estimation from each of said position of said each of said selectable plurality of vehicles; and c. defining said traffic lanes within said traffic monitoring system from said probability density function estimation. 16. The computer-readable medium as recited in claim 15 wherein said computer executable instructions for performing the steps of detecting each of said selectable plurality of vehicles comprises computer executable instructions for performing the steps of: a. transmitting fr om said sensor an electromagnetic signal of a known power toward said traffic lanes; and b. measuring at said sensor a reflected power corresponding to a portion of said electromagnetic signal as reflected from each of said selectable plurality of vehicles. 17. The computer-readable medium as recited in claim 15 wherein said computer executable instructions for performing the steps of estimating a position step comprise computer executable instructions for performing the steps of: a. partitioning said field of view of said sensor into range bins wherein each of said traffic lanes includes a plurality of range bins each having a received power range associated therewith; and b. assigning said position of said each of said selectable plurality of vehicles to a corresponding one of said range bins when said reflected power from each of said selectable plurality of vehicles corresponds with said reflected power range of said corresponding one of said plurality of range bins. 18. The computer-readable medium as recited in claim 17 wherein said computer executable instructions for performing the step of generating a probability density function comprises computer executable instructions for performing the step of: a. generating a histogram of said positions within said plurality of range bins. 19. The computer-readable medium as recited in claim 18 wherein said computer executable instructions for performing the step of defining said traffic lanes comprises computer executable instructions for performing the steps of: a. identifying probability peaks on said histogram of said positions; and b. defining boundaries around each of said probability peaks, said boundaries about each of said probability peaks representing one of said traffic lanes therebetween. 20. The computer-readable medium as recited in claim 15 wherein said computer executable instructions for performing the step of generating a probability density function estimation further comprises computer executable instructions for performing the step of: a. weighting for more statistical significance more recent ones of each of said positions of each of said selectable plurality of vehicles than stale ones of each of said positions. 21. The computer-readable medium as recited in claim 15 wherein said computer executable instructions further comprise computer executable instructions for performing the steps of: a. assigning a traffic flow direction to said position of said each of said selectable plurality of vehicles; b. recording said traffic flow direction to said position of said each of said selectable plurality of vehicles; c. generating probability density function estimations for each of said traffic flow directions; and d. assigning said traffic flow directions to said traffic lanes. ing: a central office configured to control the movement of vehicles on a track network; a plurality of switch machines, each switch machine configured to output a switch position signal indicative of a state of a track switch associated with the switch machine in a one of a plurality of positions and to control the state of the track switch in response to receiving a switch control signal; and a local controller configured for receiving from the plurality of switch machines the switch position signals related to the state of the track switches controlled by the plurality of switch machines, for converting the switch position signals into switch position data, for conveying the switch position data to the central office, for receiving switch control data from the central office as a function of the conveyed switch position data and a desired movement of vehicles on the track network, for converting the received switch control data into switch control signals, and for conveying each switch control signal to one of the switch machines whereby the corresponding track switch is set to a state related to the switch control signal received by the one of the switch machines. 17. The apparatus as set forth in claim 16, further including a traffic light connected to the local controller, wherein the local controller receives traffic light control data from the central office as a function of the switch position data and a desired movement of vehicles on the track network, converts the received traffic light control data into a traffic light control signal, and conveys the traffic light control signal to the traffic light whereby the traffic light is set in one of a plurality of optical states as a function of the traffic light control signal. 18. The apparatus as set forth in claim 16, further including a vehicle presence detector configured to output to the local controller a vehicle presence signal as a function the presence of a vehicle on the track network, wherein: the local controller converts the received vehicle presence signal into vehicle presence data and conveys the vehicle presence data to the central office; and the switch control data received by the local controller is also a function of the conveyed vehicle presence data. 19. The apparatus as set forth in claim 17, further including a traffic light connected to the local controller, wherein the local controller receives traffic light control data from the central office as a function of the vehicle presence data, the switch position data and a desired movement of vehicles on the track network, converts the received traffic light control data into a traffic light control signal, and conveys the traffic light control signal to the traffic light whereby the traffic light is set in one of a plurality of optical sta