To convert your saved data to volts, use the following equation :

Sample value x Gain / Bit resolution = Real sample value (µV)

When using alphaRS Headstage the bit resolution is 0.195 µV

  • To convert the data received from the Alpha Omega system, use the MPX2PLX software.
  • For the MPX2PLX software please contact your local support representative.

Spike 2 enables the import of Alpha Omega files and identifies all types of events and markers data in the MPX file format.

less than 30 µV peak to peak is an acceptable background noise range for data recording

  • The default path is C:\logging_data
  • For changing the default path, check the logging directory under Option → logging option

Check if all the needed channels are selected: under Option → logging option → select channels

Check that the detection line (blue line) is in the signal range

When using AlphaLab SnR Headstage the bit resolution is linked to the gain of the Headstage:

  • Preamp Gain 1 = 1.9 µV
  • Preamp Gain 10 = 0.19 µV
  • alphaRS Headstage has the gain value of 192
  • AlphaLab SnR Headstage has the gain value of 20

The alphaRS main unit has the following inputs and outputs which can be used to connect or sync with other systems:

  • 2 Stereo outputs
  • 8 single-bit digital outputs, Synchronization TTL output
  • 4 outputs ± 5.0 V, 16-bit analog outputs
  • 4 digital input channels (TTLs), 16-bit digital input port
  • 4 differential analog input channels with 16-bit resolution and dynamic range of ±5V

For more information about the ports please refer to the alphaRS manual

You can program waveforms using Alpha Omega's software or MATLAB SDK

Please refer to the manual

  • alphaRS - section  4.5.1 Simple Stimulation
  • AlphaLab SnR  - section  4.12 Defining and Loading Waves

or contact your support rep

All Alpha Omega’s files are saved in an .MPX format

To open the saved data, use our converter to convert to Matlab or text format.

For more information refer to the manual

Yes, with MATLAB it’s possible to do online and offline analysis for the data.

  • For Online Analysis, you need to use the SDK.
  • For Offline Analysis: convert your saved data from.MPX to.MAT format using the Alpha Omega converter. Then Open the files directly by MATLAB.

Yes, the online data analysis can be performed with C++. Use Alpha Omega's C++ SDK.