TEER Data Processing and Visualization Platform

Overview

This platform is designed to process and visualize TEER (Transepithelial Electrical Resistance) data from experimental setups. It supports:

• Parsing .mat files containing measurement data and .txt files with timepoints.
• Storing raw and processed data in an SQLite database.
• Interactive visualization of impedance and phase differences using Dash.

Features

• Automated ingestion of experimental data.
• Database schema for organizing raw and processed data.
• Interactive Dash dashboard for real-time exploration and filtering of results.

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Tools and Technologies

• Python: Core language for scripting and backend development.
• Flask: Backend framework for file uploads and API development.
• Dash: Framework for creating interactive visualizations.
• SQLite: Relational database for structured data storage.
• MATLAB File Parsing: .mat file handling via scipy.io.
• Git and GitHub: Version control and collaboration.

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Installation

Prerequisites

• Python (3.8 or above)
• Git

Steps

1. Clone the repository:

   git clone https://github.com/yourusername/TEER_Data_Platform.git
   cd TEER_Data_Platform