FluoroSense

A Streamlit-based web application for analyzing fluorescence spectroscopy data from Jasco spectrofluorometer instruments. Designed for protein kinetics research, specifically monitoring protein folding and unfolding through intrinsic tryptophan and tyrosine fluorescence.

Live Demo

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Features

Individual Spectra Analysis

• Interactive spectrum visualization
• Blank subtraction and baseline correction
• Average Emission Wavelength (AEW) calculation
• Spectral integral computation
• Normalized spectrum comparison
• Multiple export formats (CSV, SVG)

Time Series Analysis

• Batch processing of multiple experimental conditions
• Real-time AEW tracking across timepoints
• Kinetic fitting with exponential decay models
• Spectral phase portraits
• Excel export with all processed data

User Interface

• Modern dark theme optimized for scientific visualization
• Responsive layout with interactive Plotly charts
• Intuitive file upload and data management

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Scientific Background

FluoroSense leverages intrinsic fluorescence from tryptophan and tyrosine residues to monitor protein conformational changes:

Protein State	Environment	Emission
Native	Hydrophobic core (buried)	Blue-shifted (~330 nm)
Denatured	Solvent-exposed	Red-shifted (~350 nm)

The Average Emission Wavelength (AEW) provides a robust, intensity-independent metric for tracking spectral shifts:

$$\text{AEW} = \frac{\sum_{i}^{j} \text{Intensity}_i \times \text{Wavelength}_i}{\sum_{i}^{j} \text{Intensity}_i}$$

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Installation

Using uv (Recommended)

# Clone the repository
git clone https://github.com/floriangisperg/fluorosense.git
cd fluorosense

# Install dependencies
uv sync

# Run the application
uv run streamlit run Main_Page.py

Using pip

# Clone the repository
git clone https://github.com/floriangisperg/fluorosense.git
cd fluorosense

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the application
streamlit run Main_Page.py

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Usage

1. Individual Spectra: Navigate to the Individual Spectra page to analyze single emission spectra

   • Upload Jasco CSV files (exported from instrument software)
   • Optionally upload a blank for subtraction
   • View raw spectra, AEW, integrals, and normalized data

2. Time Series: Navigate to Time Series Analysis for kinetic experiments

   • Upload multiple files representing different timepoints
   • Configure blank subtraction per condition
   • Generate kinetic fits and export results

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Data Format

FluoroSense expects Jasco spectrofluorometer CSV files with the standard format:

TITLE,Sample Name,
...header fields...
XYDATA
Wavelength,Intensity
300,150.5
301,152.3
...
##### Extended Information
...metadata...

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Screenshots

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Citation

If you use FluoroSense in your research, please cite:

@software{fluorosense2024,
  author = {Gisperg, Florian},
  title = {FluoroSense: A Streamlit Application for Fluorescence Spectroscopy Analysis},
  year = {2024},
  publisher = {GitHub},
  url = {https://github.com/floriangisperg/fluorosense}
}

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Author

Florian Gisperg

• IBD Group, TU Wien
• GitHub

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Acknowledgments

Developed for protein kinetics research at the Integrated Bioprocess Development (IBD Group), Research Area Biochemical Engineering, Institute of Chemical, Environmental and Bioscience Engineering, TU Wien.