You have a few different options to analyze data in the .doric format:
- We recently came out with danse™ which is a software designed to analyze .doric files. Specifically, with NO coding required, danse™ can:
- Basic processing (remove artifacts, decimate, linear interpolation, calculate dF/F0, find spikes, etc.)
- Import stimuli/behavior events and behavior videos from other devices
- Calculate behavior events that are time-locked to the neural activity (including Animal tracking, calculate animal presence in zones, animal distance from points, Motion score, and create behavior events from all those behavior measures using adjustable threshold)
- Create plots that combine neural activity and behavior data (e.g. peri-event/ peri-stimuli time histograms)
- Automatize data processing and data analysis pipelines without coding required
- Doric Neuroscience Studio (DNS), our free data acquisition software, contains the Signal Analyzer, Image Analyzer, and Behavior Analyzer modules which include some basic data processing tools that are also offered by danse™ (like calculating dF/F, find spikes, etc.).
- If you are interested in using Matlab, Python, R, or Octave, you can directly read .doric files with code provided on our GitHub repository. This includes the .doric output of the Signal Analyzer, Image Analyzer, and Behavior Analyzer modules. This allows you to do further analyses on Photometry dF/F0 calculations to create your plots and calculate your stats in either of those softwares.
NOTE: The Technical Support section of our website now contains many danse™ tutorial videos which can give you an idea of what the software can do. Currently, only photometry-related content has been made in tutorial form, but we are consistently adding to this video library with behavior and microscopy tutorial videos coming soon. If you are interested in this option, contact us at sales@doriclenses.com for a free 15-day trial and/or a quote. We also provide virtual demos through zoom, including a walk-through using your own data with us to see how you can best utilise the software to analyze your specific experiments.
