3D Visualization

3D on the web just makes sense for life sciences. We create interactive 3D visualizations that illustrate complex scientific concepts in ways that are visually compelling and easy to understand.

Disease Prevalence in Africa

Hover over countries to see detailed statistics. Click to explore disease relationships.

Data: 2024 | Unit: cases per 100,000 population

Let's Get Visual

There are three ways that we envision 3D elements to be integrated into life sciences. All three approaches are applicable at the right time and place, depending on your goals and audience. Here are three examples of how we might illustrate a DNA helix using each method.

  • Semi-Static “Enhanced Illustration”

    A semi-static visualization uses minimal motion, labels, or subtle visual cues to communicate an idea without requiring user input. This format offers clarity and focus: users can absorb information quickly while still enjoying an elevated, polished visual. It’s perfect when the goal is to balance aesthetics and comprehension—especially for high-level summaries, hero graphics, or moments where interactivity would distract rather than help.

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  • Non-Interactive Guided Tour

    A guided visualization removes interactivity entirely, presenting a concept as a curated sequence of scenes, steps, or highlights. This mode ensures the user receives a consistent, narrative-driven explanation that doesn’t depend on their ability or willingness to explore. It’s the right choice when you need to guarantee understanding—such as introducing new scientific concepts, educating broad audiences, or delivering a controlled onboarding experience.

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  • Interactive 3D Visualization

    A fully interactive 3D model invites users to explore a concept by manipulating it—rotating, zooming, and revealing additional layers of information on demand. This approach is ideal when the goal is to deepen understanding through discovery, allowing users to uncover details at their own pace. It works best for complex structures or processes where spatial relationships matter, such as molecular binding sites or workflow sequences.

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