BrainWave 4 is an advanced software tool from 3Brain designed to record,
analyse and manage high-content electrophysiological data sets. BrainWave 4 allows
real-time visualisation and data extraction of key metrics gathered using
3Brain’s microelectrode array (MEA) platforms. Users can filter the data, detect
and sort spikes in activity, analyse local field potentials (LPFs), and much
BrainWave 4 finds application in research activities related to drug discovery,
brain organoids, brain slices, neuronal networks, animal- and human-derived
stem cells and the retina.
BrainWave 4 pairs with 3Brain’s CMOS-based high density multi-electrode
arrays (CMOS MEAs) to visualise, record, and analyse electrophysiological cell
activity in real-time.
Key features of BrainWave 4 include customisable display tools to show the
dense data in a user-friendly video interface; pixels on the colour-coded
activity map corresponding with the 4,096 electrodes with changes in colour
representing activity spikes/voltage traces; sophisticated algorithms allowing
users to observe spatial distribution and activity patterns and detect isolated
signals; and a wide array of selection tools providing an infinite number of
ways to organise and analyse HD electrophysiological data.
For instance, with the magic wand tool, the software automatically
selects and visualises the most active electrodes in a particular region. Manual
selection tools such as single-channel, lasso, shape selection, and brush make
it possible to view electrophysiological activity in a small or large area by
selecting single or multi channels.
BrainWave 4 performs both real-time and off-line analyses on the HD
electrophysiological data collected on 4,096 channels. After spike detection or
local field potential (LFP) detection (available on-line and off-line) is
configured and run, a myriad of calculations are possible.
The new BrainWave 4 software offers a host of compression strategies to
simplify data management and save space on your hard disk. Data is stored using
an HDF5 hierarchical data format, an open-source,
cross-platform, large data storage solution supported by most data analysis
platforms such as Python, Matlab, Scilab, Octave and R. Additionally, charts
and images generated from raw data can be exported as Microsoft Excel