Cheetah OS: Streamlining Digital Reference Selection with Ease

In the world of neuroscience research, efficient data collection and processing are crucial to unlocking new discoveries. Neuralynx's Cheetah OS has revolutionized the way researchers manage their hardware settings, making digital reference selection (DRS) a breeze. By automating many tasks behind the scenes, Cheetah OS allows researchers to focus on what matters most – collecting and analyzing high-quality data.

One of the key features of Cheetah OS is its ability to clone channels, allowing users to record multiple signals without the need for special equipment or connections. This flexibility is particularly useful when working with low-frequency signals, such as theta waves, which can be easily filtered out while still capturing high-frequency spike activity. Moreover, changes made to one cloned channel do not affect other acquisition entities using the same clone, ensuring maximum flexibility and control.

Another significant advantage of Cheetah OS is its seamless integration with Neuralynx's hardware acquisition subsystems, including their latest Digital Lynx SX system. By digitizing signals without analog modification, users can enjoy full-bandwidth sampling at 24-bit resolution, extending the life of their laboratory equipment. Furthermore, Cheetah OS's ability to process up to 512 input electrode channels makes it an ideal choice for large-scale research experiments.

Over the past two decades, Neuralynx has continually developed and enhanced Cheetah Software, providing researchers with a comprehensive suite of signal and data processing features. With its efficient CPU usage and excellent software design, Cheetah OS is capable of handling even the most demanding neuroscience research applications.

In conclusion, Cheetah OS has set a new standard for digital reference selection and channel management in neuroscience research. Its ease of use, flexibility, and high-performance capabilities make it an essential tool for researchers seeking to streamline their data collection and analysis processes.

Cheetah os