Abstract: Various aspects of the disclosure relate to monitoring a physical location to determine and/or predict anomalous activities. One or more machine learning algorithms may be used to analyze inputs from one or more sensors, cameras, audio recording equipment, and/or any other types of sensors to detect anomalous measurements/patterns. Notifications may be sent one or more devices in a network based on the detection.

Abstract: An apparatus for optically analyzing a sample may include an imaging subsystem that images the sample, one or more analyzing subsystems that analyze the sample including a confocal imaging subsystem, a temperature control subsystem that controls a temperature of the atmosphere within the apparatus, a gas control subsystem that controls a composition of the atmosphere within the apparatus, and a control module that controls the various subsystems of the apparatus.

Abstract: The systems and methods described herein allow for the application of a bias voltage to one or more transducers implemented within a medical ultrasound imaging system. Bias circuitry is placed within an imaging device and used to apply a DC bias to one or more transducers requiring a DC bias to operate. The one or more transducers can be fabricated in a semiconductor manufacturing process and integrated with the bias circuitry on a common semiconductor substrate. Also provided is a method for operating the one or more transducers and bias circuitry using a communication channel having two signal lines.