Two new differential high-resolution Wi-FiScopes from TiePie are oscilloscopes built by engineers for engineers and can be used via an ethernet connection (LAN, Wi-Fi or WAN) or with a USB 2.0/3.0 connection.
Typical applications for the Wi-FiScope WS4 DIFF and the Wi-FiScope WS6 DIFF include measurements at serial communication buses, measurements at switch mode power supplies and frequency converters and automotive measurements. A built-in battery provides the possibility to perform fully wireless differential measurements completely galvanically isolated, and over long distances. This wireless PC-based high-speed data acquisition 
Source: TiePieoffers the user more possibilities for measurement applications.
The differential Wi-Fi oscilloscope can now be used where previously it was difficult to place a complete measurement setup, and electrical, physical, mechanical and acoustic signals can be measured remotely. High-speed real-time continuous data acquisition rates of 5 mega samples/second can be achieved with a resolution of 8 to 16 bits and, via LAN/WAN connections, high-speed real-time continuous data acquisition rates of 20 mega samples/second can be achieved with a resolution of 8 to 16 bits.
Combined with the free multi channel oscilloscope software, the Wi-FiScope WS4 DIFF and Wi-FiScope WS6 DIFF turn a PC into a high-resolution differential oscilloscope, precision spectrum analyzer, EMI pre-compliance analyzer, high-performance multimeter, very fast differential data logger and comprehensive protocol analyzer. The multi-channel oscilloscope software enables data sharing and data analysis without the need of an instrument. Time consuming, complicated instrument setups are eliminated with a Quick Setup system: specify the desired measurement task with just up to four mouse clicks from a selection dialog that gives access to over 700 different instrument Quick Setups.
A full Software Development Kit (SDK) is available for customizing PC-based data acquisition software and examples in C, C++, C#, Python, Matlab, Node.js and Visual Basic.NET.
