Everything you need
to trust the fit.
Guides, references, and walkthroughs for the assays Gradiance runs, written by the bioengineers who built it.
- 01Getting StartedSign in, drop a CSV, see your first fit.5
- 02QuantificationStandard curves, ELISA, BCA, endpoint titer.1
- 03Potency & Dose ResponseIC₅₀, EC₅₀, CC₅₀, NT₅₀.1
- 04Gene ExpressionqPCR ΔΔCt and absolute quantification.1
- 05KineticsMichaelis-Menten, growth curves, time-course slopes.1
- 06Cell-based AssaysViability and CFU plate counts.1
- 07Binding & AffinitySaturation binding (Kd / Bmax) and competition (Ki).1
- 08Custom AnalysisWhen nothing in the catalog quite fits.1
- 09ReferenceMethods, FAQ, citation.3
Watch it work
A real BCA run,
recorded.
Drop in a 9-row absorbance plate, pick the BCA workflow, hit start. Gradiance fits an 8-point BSA standard curve, back-calculates the unknowns, and writes a one-paragraph interpretation, typically in under twenty seconds.
Captured live · run #zrel8f76 · 8-point BSA standard, 8 unknowns, R² = 0.999.
The tour
The screenshots, before the words.
These are real screens of the running app, not mockups. Skim them, then dive into the guides below.
Frame · 01 / 02 · Output
A 4PL fit, with everything you'd cite.
Curve, residuals, CIs on every parameter, model equation, plain-English interpretation, and QC checks, all in one viewer. Switch palettes, copy the equation, or download the underlying CSV.
Read the dose-response guide
Frame · 02 / 02 · Multi-fit
qPCR ΔΔCt across a panel. Same viewer.
Fold-change for each target, propagated error, and significance flags. The same panel handles ELISA standards, kinetics, and binding too. Every assay is rendered with the same trustworthy chrome.
See standard curvesChapter 01
Getting Started
Sign in, drop a CSV, see your first fit.
Quick Start
From zero to a fitted curve in nine steps.
Read→Uploading Data
Supported formats, layouts, plate maps, and parse-error fixes.
Read→The Run Workspace
The three panels, the header controls, and how Refine, Stop, Duplicate, and Share fit together.
Read→Understanding Results
Read the curve, the parameter table, the CIs, and the QC flags.
Read→Quality Control
The thresholds Gradiance uses to grade fits, and what each flag means.
Read→Chapter 02
Quantification
Standard curves, ELISA, BCA, endpoint titer.
Chapter 03
Potency & Dose Response
IC₅₀, EC₅₀, CC₅₀, NT₅₀.
Chapter 04
Gene Expression
qPCR ΔΔCt and absolute quantification.
Chapter 05
Kinetics
Michaelis-Menten, growth curves, time-course slopes.
Chapter 06
Cell-based Assays
Viability and CFU plate counts.
Chapter 07
Binding & Affinity
Saturation binding (Kd / Bmax) and competition (Ki).
Chapter 08
Custom Analysis
When nothing in the catalog quite fits.
Chapter 09
Reference
Methods, FAQ, citation.
Statistical Methods
Algorithms, CIs, weighting, IC₅₀ relative vs absolute, validation against published data.
Read→FAQ
Supported assays, data format, exports, billing, and what to do when a fit looks wrong.
Read→How to Cite Gradiance
APA, BibTeX, RIS, plus a methods paragraph you can adapt.
Read→Postscript
Still stuck?
Write to us.
The docs miss things. The team doesn't. Real humans, usually within a day.