Getting Started
Quick Start Guide
Get up and running with Gradiance in 5 minutes
Welcome to Gradiance! This guide will walk you through creating your first dose-response analysis from start to finish.
Sign In
Navigate to the Gradiance homepage and sign in with your Google account. No additional setup required.
Create a New Run
- Click the "New Run" button in the sidebar
- You'll be taken to a new analysis workspace
- The workspace has three main areas: file upload, AI assistant, and results panel
Upload Your Data
Gradiance accepts CSV and Excel files with your dose-response data. Your file should contain:
- Concentration column: The drug/compound concentrations tested
- Response column: The measured response (e.g., % viability, absorbance)
Example CSV Format
Concentration,Response 0.001,95.2 0.01,92.1 0.1,78.5 1,45.3 10,12.8 100,5.1
Tell the AI What You Want
In the AI assistant panel, describe your analysis in natural language. For example:
"Please analyze this dose-response data and calculate the IC50 using a 4-parameter logistic fit."
The AI will:
- Read your uploaded file
- Detect concentration and response columns
- Fit a 4PL curve to your data
- Calculate IC₅₀, R², and other parameters
- Generate a publication-quality plot
Review Your Results
The results panel will display:
- Interactive plot: Your fitted curve with data points
- Parameters: IC₅₀, Hill slope, R²
- QC warnings: Any quality control flags (e.g., low R²)
Refine Your Analysis
You can ask follow-up questions to refine your analysis:
- "Try a 5PL fit instead"
- "Exclude the outlier at 100 µM"
- "Constrain the bottom to 0"
- "Show me the residual plot"
Export Your Results
Once your analysis is complete, use the Export dropdown in the workspace header to download your results in any supported format:
- Plot (PNG, 300 DPI) — publication-ready raster image
- Plot (SVG) — scalable vector graphic for editing
- Report (PDF) — full analysis report with plot and parameters
- Results (CSV) — fitted values and calculated parameters
- Data (Excel) — input and output data in a spreadsheet
- Python Script — reproducible script that regenerates your analysis