Research Papers

• Industry: Electrical Equipment Manufacturers

How the GaGe Digitizer was used: The COMB technique involves coding RF signals at
each mobile element before transmission. At the destination, signals are received, decoded,
and processed by a beamformer. GaGe digitizers with high sample rates and resolution are
utilized for signal processing, enabling precise recovery of baseband multi-channel signals.

• Industry: Testing Labs & Research Centers

How the GaGe Digitizer was used: The LENPA employs a time-of-flight method and various
subsystems for operation. A GaGe acquisition card with a high sampling rate of 1 GS/s,
facilitated by a 4 TB fast memory card, enables continuous data collection. This data acquisition
system is crucial for accurately capturing and processing neutral particle information.

• Industry: Testing Labs & Research Centers

How the GaGe Digitizer was used: The GaGe CompuScope 14100 digitizer card, a 14-bit,
50 million samples per second dual-channel waveform digitizer, was used to digitize the signals
obtained from ultrasonic methods. This equipment allowed for accurate measurement of the
acoustic properties (compressional and shear wave velocities) of the hydrate-bearing sediment
samples. The high data transfer rate (up to 80 Mb/s) of the CompuScope card ensured minimal
error in velocity estimations.

• Industry: Testing Labs & Research Centers

How the GaGe Digitizer was used: The research utilized the GaGe CompuScope 14100 oscilloscope card to digitize ultrasonic signals. With a 14-bit resolution and a 100 MHz sampling rate, this digitizer enabled precise recording of the ultrasonic waves traveling through the pulp suspensions, which were later analyzed to determine phase velocity and attenuation.

• Industry: Medical/Pharmaceutical, Testing Labs & Research Centers

How the GaGe Digitizer was used: The GaGe Digitizer was employed to digitize ultrasonic
signals received from the lens at a high sampling rate. This allowed for the detailed analysis
necessary for creating Nakagami parametric images.

• Industry: Medical/Pharmaceutical, Testing Labs & Research Centers

How the GaGe Digitizer was used: The GaGe digitizer used in the research is the CompuScope 12400. This 12-bit data acquisition card was crucial in the analog-to-digital data conversion and data transfer to a computer during the testing of the ultrasound transducer. It operated at a sampling frequency of up to 400 MHz, ensuring precise and accurate digital representation of the analog signals received from the ultrasound transducer during experiments.

• Industry: Medical/Pharmaceutical, Testing Labs & Research Centers

How the GaGe Digitizer was used: The GaGe Digitizer, specifically the Gage 12400, was used in the research to digitize amplified echo signals during the ultrasonic BBB opening process. The digitizer converted analog signals to digital data, which were then analyzed to monitor and measure the effects of FUS on the BBB.

• Industry: Medical/Pharmaceutical

How the GaGe Digitizer was Used: A 30 MHz linear array transducer was integrated into a pulsed-wave Doppler system, including a 16-channel analog beamformer and timing circuits. Echoes were digitized by a GaGe digitizer and stored for real-time display and analysis.

• Industry: Testing Labs & Research Centers

How the GaGe Digitizer was used: The spectrometer employs a special technique called optically switched dual-wavelength cavity ring-down spectroscopy (OSDW-CRDS). It uses a waveguide optical switch to rapidly switch between two wavelengths, detecting different forms of methane. This helps mitigate noise from temperature and frequency fluctuations, resulting in more precise measurements.

• Industry: Medical/Pharmaceutical, Testing Labs & Research Centers

How the GaGe Digitizer was used: The GaGe Digitizer (CS14200) was integral in digitizing the pre-amplified echo signals at a high sampling rate of 200 MHz and 14-bit resolution. This process is critical for capturing high-quality ultrasound images, allowing for enhanced dynamic range and more accurate signal processing.