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flipr-calcium-response-analysis

  1. Introduction

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Overview

Languages: Python

Documentation

FLIPR Analysis Tool User Manual

Table of Contents

  1. Introduction
  2. Installation
  3. Getting Started
  4. Main Interface
  5. Loading Data
  6. Plate Layout Configuration
  7. Experiment Metadata
  8. Data Analysis
  9. Diagnostic Analysis
  10. Visualization
  11. Exporting Results
  12. Troubleshooting

Introduction

The FLIPR Analysis Tool is a specialized software application designed for analyzing calcium imaging data from FLIPR (Fluorometric Imaging Plate Reader) experiments. It provides a comprehensive suite of tools for data processing, visualization, analysis, and diagnostic evaluation of calcium responses in 96-well plate formats.

Key Features

  • Interactive 96-well plate layout configuration
  • Raw and ΔF/F₀ trace visualization
  • Automated artifact removal
  • Statistical analysis with multiple metrics
  • Ionomycin normalization capability
  • Comprehensive data export options
  • Area Under Curve (AUC) analysis
  • Time to peak measurements
  • Direct import from FLIPR CSV output
  • Experiment metadata tracking
  • Diagnostic analysis for clinical applications
  • Customizable quality control parameters

Installation

System Requirements

  • Python 3.9 or later
  • Required libraries:
  • PyQt5
  • pandas
  • numpy
  • pyqtgraph
  • openpyxl
  • matplotlib

Installation Steps

  1. Install Python from https://www.python.org/downloads/
  2. Install required packages using pip: 
    pip install PyQt5 pandas numpy pyqtgraph openpyxl matplotlib
  3. Download and run the FLIPR Analysis Tool script

Getting Started

Initial Setup

  1. Launch the application
  2. Configure analysis parameters (Analysis → Parameters)
  3. Load your FLIPR data file
  4. Configure your plate layout before analysis
  5. Set up diagnosis parameters if perfor

[View full README on GitHub]