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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.

1

Sign In

Navigate to the Gradiance homepage and sign in with your Google account. No additional setup required.

2

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
3

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
4

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
5

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)
6

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"
7

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