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Origin for Life Science



Life science data often follows well-defined experimental structures — dose-response studies, grouped replicates, time-course measurements, and multi-factor experiments. Organizing this data correctly is essential for meaningful analysis, yet it can be tedious and error-prone using general-purpose tools.

Starting with OriginPro 2026b, the new Life Science GUI mode provides specialized structured data tables, context-sensitive menus, and integrated analysis tools designed for life science workflows. Import data from GraphPad Prism, Excel, and other sources, then analyze, graph, and generate reports in a single environment.

Key Benefits:

  • Organize data using table types that match your study design
  • Preserve relationships among treatment groups, replicates, and factors
  • Import and reuse existing GraphPad Prism datasets directly
  • Access graphs and analysis tools that adapt to your data structure automatically
  • Generate publication-quality figures with fewer manual steps
  • Improve reproducibility through consistent, structured data organization.
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Transition Easily from GraphPad Prism

Researchers using GraphPad Prism can quickly bring existing data into Origin Structured Tables. No manual restructuring required for many common Prism table formats.

  • Import data tables from Prism project files (.prism and .pzfx)
  • Copy and paste data directly from Prism
  • Preserve common life science data layouts
  • Continue analysis using Origin's extensive graphing and statistical tools
  • Expand beyond traditional Prism workflows with advanced visualization, automation, and data management capabilities
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Organize and Explore Data Around Your Experiment

Structured Tables make it easy to organize data the way experiments are actually performed, instead of forcing information into flat spreadsheets.

Examples:

  • Cell viability studies with treatment groups and replicates
  • Time-course experiments
  • Gene and protein expression studies
  • Pharmacology and dose-response assays
  • Animal studies with multiple factors
  • Omics datasets with annotations and metadata

Keep measurements, experimental conditions, sample information, annotations, and metadata together in one place. View data from different perspectives without manually rearranging worksheets. Compare experimental groups and uncover meaningful patterns while preserving the structure and context of your original dataset.

From data collection through analysis and visualization, Structured Tables help you manage complex datasets, improve traceability and reproducibility, and gain deeper insights from your experiments.

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Graph Data Directly from Structured Tables

Reveal patterns, trends, and relationships in your data. Graphing tools are designed to work seamlessly with structured datasets, making it easy to move from data exploration to presentation.

Choose from a wide range of workflows:

  • Bar and column plots
  • Scatter and dot plots
  • Box charts
  • Violin plots
  • Line and time-course plots
  • Grouped and multi-factor visualizations
  • Heat maps

Customize your figures and save your settings as a template for future use. Compare groups, identify trends, detect outliers, and create publication-ready graphs that help you gain insights and tell the story behind your data.

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Integrated Statistical Analysis

Perform common life science analyses directly from structured data without manually reorganizing datasets or exporting data to separate statistical software.

Examples:

  • Descriptive statistics
  • t-tests and nonparametric tests
  • One-way, two-way, and three-way ANOVA. Repeated measures ANOVA
  • Linear and nonlinear regression
  • Correlation analyses
  • Survival analysis
  • Dose-response and curve fitting

Analysis tools automatically recognize the experimental factors, groups, and replicates stored in Structured Tables. Move seamlessly from data organization to statistical analysis and visualization while maintaining complete experimental context, traceability, and reproducibility.

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