Abstract: A MEMS-based particle manipulation system which uses a particle manipulation stage and optical confirmation of the manipulation. The optical confirmation may be camera-based, and may be used to assess the effectiveness or accuracy of the particle manipulation stage. In one exemplary embodiment, the particle manipulation stage is a microfabricated, fluid valve, which sorts a target particle from non-target particles in a fluid stream. The optical confirmation stage is disposed in the microfabricated fluid channels at the input and output of the microfabricated sorting valve. Deep learning techniques are brought to bear on the camera output to increase speed, accuracy and reliability.

Abstract: Example implementations include a system with a first communication channel operatively coupled with a cranial sensor system and operable to transmit a cranial sensor output obtained from the cranial sensor system to one or more remote devices, and a second communication channel operatively coupled with the cranial sensor system and operable to transmit a diagnostic output associated with the cranial sensor output to the remote device(s).

Abstract: A MEMS-based particle manipulation system which uses a particle manipulation stage and optical confirmation of the manipulation. The optical confirmation may be camera-based, and may be used to assess the effectiveness or accuracy of the particle manipulation stage. In one exemplary embodiment, the particle manipulation stage is a microfabricated, fluid valve, which sorts a target particle from non-target particles in a fluid stream. The optical confirmation stage is disposed in the microfabricated fluid channels at the input and output of the microfabricated sorting valve. Deep learning techniques are brought to bear on the camera output to increase speed, accuracy and reliability.

Abstract: A MEMS-based particle manipulation system which uses a particle manipulation stage and optical confirmation of the manipulation. The optical confirmation may be camera-based, and may be used to assess the effectiveness or accuracy of the particle manipulation stage. In one exemplary embodiment, the particle manipulation stage is a microfabricated, fluid valve, which sorts a target particle from non-target particles in a fluid stream. The optical confirmation stage is disposed in the microfabricated fluid channels at the input and output of the microfabricated sorting valve. Deep learning techniques are brought to bear on the camera output to increase speed, accuracy and reliability.

Abstract: A MEMS-based particle manipulation system which uses a particle manipulation stage and optical confirmation of the manipulation. The optical confirmation may be camera-based, and may be used to assess the effectiveness or accuracy of the particle manipulation stage. In one exemplary embodiment, the particle manipulation stage is a microfabricated, fluid valve, which sorts a target particle from non-target particles in a fluid stream. The optical confirmation stage is disposed in the microfabricated fluid channels at the input and output of the microfabricated sorting valve. The laser interrogation regions may be used to assess the effectiveness or accuracy of the sorting, and to control or adjust sort parameters during the sorting process.

Abstract: A MEMS-based particle manipulation system which uses a particle manipulation stage and optical confirmation of the manipulation. The optical confirmation may be camera-based, and may be used to assess the effectiveness or accuracy of the particle manipulation stage. In one exemplary embodiment, the particle manipulation stage is a microfabricated, fluid valve, which sorts a target particle from non-target particles in a fluid stream. The optical confirmation stage is disposed in the microfabricated fluid channels at the input and output of the microfabricated sorting valve. The laser interrogation regions may be used to assess the effectiveness or accuracy of the sorting, and to control or adjust sort parameters during the sorting process.