Post Processing & Data Analysis
TDTbin2mat and the MATLAB SDK
Exporting data from Synapse into MATLAB is simple with the TDT MATLAB SDK. The main importing function of the MATLAB SDK is TDTbin2mat. The main argument for TDTbin2mat is the full file path to the data block that you want to import. Synapse makes copying this file path easy via the History dialog. See this Lightning Video to see this importing sequence. You can also copy the block file path via Windows Explorer.
The TDT Python Package
Data can also be easily imported into Python 3 using the tdt package. If
you already have Python 3 installed, you can add the tdt package in your
pip install tdt
Link to Python Package and SDK:
MATLAB and Python Workbook Examples
TDT aims to help customers as much as possible with easy data import and analysis. We understand that not all customers have extensive MATLAB or Python experience, so we created fully-commented workbook examples that demonstrate how to do basic, but interesting operations with MATLAB or Python code. These examples are not intended to serve as a complete pipeline for your data analysis - please use wisely.
If you have other scripting needs, please reach out to TDT Tech Support at email@example.com.
View Data in OpenScope
For a first-pass replay of data, you can view any Synapse recording in OpenScope. This also takes advantage of the Synapse History dialog. OpenScope has extra features that make jumping around the data fast and intuitive. You can also use the Video Viewer feature to replay videos with the timestamp of each frame.
OpenBrowser - Exporting to Excel
If MATLAB is not your preferred data viewer, you can export data in an ASCII format into Microsoft Excel.
This video demonstrates exporting to an EDF file format, not ASCII.
Here are some common resources that customers may find helpful as they work to understand fiber photometry and conduct experiments.
Select fiber photometry papers:
- Lerner et al. 2015 http://dx.doi.org/10.1016/j.cell.2015.07.014
- Calipari et al. 2016 https://doi.org/10.1073/pnas.1521238113
- Knight et al. 2015 http://dx.doi.org/10.1016/j.cell.2015.01.033
- Barker et al. 2017 https://doi.org/10.1016/j.celrep.2017.10.066