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BioDOE: Design Smarter Biological Experiments, Accelerate Discovery Faster.
Stop guessing with wasteful One-Factor-at-a-Time (OFAT) trials. BioDOE provides an intuitive 3-Panel Design Studio for assays, bioprocessing, formulations, and multi-response surface optimization without requiring a PhD in statistics.
Built for Biological Complexity
From high-throughput screening and formulation buffers to equipment constraints in bioprocessing suites.
1. Biological Factor Setup
Specify 2-level continuous ranges (pH, Substrate Concentration) and discrete multi-option choices (Media Types, Enzyme Strains, Buffer Components).
Explore Factor Setup2. Hard-to-Change Factors
Flag settings that are slow or expensive to change — like incubation temperature or which bioreactor vessel you're using — so the design groups runs together instead of resetting equipment between every single run.
Explore Hard-to-Change Support3. Balance Competing Goals
Automatically finds the best settings when your goals pull in different directions — for example, maximizing yield while minimizing impurity — instead of you weighing the tradeoffs by hand.
Explore 3D Surface MeshAccelerating Discovery Across Every Assay & Bioprocess
Whether optimizing CHO cell culture, Immunoassay Development (ELISA & Potency Assays), or formulation stability, BioDOE reduces experimental runs by up to 75%.
CHO Cell Culture Media Optimization
Simultaneously evaluate Glucose, Amino Acid Feeds, and Temperature Shift timing to boost monoclonal antibody titers while maintaining 95%+ cell viability.
Bioprocess Case StudyImmunoassay & Bioassay Development
Optimize ELISA, HTRF, and Cell-Based Potency Assays. Simultaneously screen antibody coating levels, detection conjugate dilutions, blocking agents, and incubation times to maximize signal-to-noise (S/N) ratio and dynamic range.
Immunoassay OptimizationRecombinant Protein & Enzyme Expression
Screen induction timing, IPTG/Methanol concentration, and Dissolved Oxygen levels. Account for hard-to-change incubator temps via Split-Plot designs.
Expression WorkflowAssay Buffer & Formulation Stability
Formulate high-stability biologics. Optimize pH, ionic strength, surfactants, and cryoprotectants to prevent aggregation through freeze-thaw cycles.
Formulation MatrixGene Therapy & Viral Vector Transfection
Optimize AAV or Lentivirus production by balancing plasmid ratios, transfection reagent concentrations, and harvest timing for maximum viral titer.
Gene Therapy Solutions
"BioDOE transformed our CHO cell culture media optimization. In just 12 runs, we identified critical Glucose and Temperature interactions that we had spent 6 months trying to find with traditional OFAT experiments. A total game-changer for bioprocess development."
Simple Plans Built for Every Stage of Research
Start free, upgrade as your experimental volume grows. No expensive desktop licenses required.
- 3 Designs + 3 Analyses / Month
- Screening & Mapping Designs (Find What Matters / Map the Shape)
- Full Statistical Analysis (ANOVA, Pareto, Actual vs. Predicted)
- CSV Import/Export & PNG/SVG Figure Export
- Secure Sign-In
- Unlimited Designs & Analyses
- Optimization Designs (Find the Peak)
- Hard-to-Change Factor Support
- Multi-Goal Optimization (Optimal Settings Recommendation)
- 3D Surface & Contour Plots
Ready to Transform Your Biological Optimization?
Join leading life scientists, bioprocess engineers, and biotech researchers using BioDOE to design, execute, and optimize multi-factor experiments in minutes.
1. Define Factors & Responses
Screening uses a small fractional-factorial design (Resolution IV) to isolate the vital few factors cheaply.
| Factor Name | Values / Range |
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Responses are added after you generate your design — see the "2 · Design of Experiment" tab.
If some runs will happen on a different day, batch, or plate than others, name that here so the analysis can account for it separately from your real factors.
Tell us how noisy your assay normally is and how small a change still matters, and we'll check whether this design has enough runs to actually detect it.
2. Design of Experiment
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3. Data Analysis
| Factor | p-value | Sig |
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