INSIDE / LAB
Living systems simulator
SIMULATION LIVE3D BIOLOGY • VOL 01
Interactive human biology / 01

Inside the lungs

See a microscopic battle unfold, one cell at a time.

● EARLY INFECTION
Tissue cellsVirus particles Immune cells Inflammatory signals Medicine
Alveolar region
Where infection takes hold
Rotate to explore. Tap a colored cell or particle to inspect it.
View
Pathogen load
14/100
Inflammation
9/100
Tissue integrity
100%
Immune activity
7/100

Inside — 3D Organ Infection Simulation Lab

Explore a stylized 3D infection model of the lungs, liver, and intestine. Adjust pathogens, immune response, inflammation, and conceptual treatments.

What this models

This interactive biology teaching model shows a stylized infection scenario in the lungs, liver, or intestine. It visualizes pathogen particles, tissue, immune activity, and inflammatory signals over time.

When to use it

Use it to explore how the model responds when you change the organ, introduce virus or bacteria, adjust the immune and inflammation controls, or apply a conceptual medicine action.

Who this is for

Students, educators, and curious readers learning basic infection and immune-response concepts through a simplified visual model. It is not intended for clinical use.

How to explore

  1. Choose lungs, liver, or intestine and select a whole-organ, cellular, or vascular view.
  2. Rotate or zoom the model, reveal or hide outer tissue, and use pause or playback speed to inspect changes.
  3. Introduce virus or bacteria and compare the displayed pathogen load, inflammation, tissue integrity, and immune activity.
  4. Try the antiviral, antibiotic, or anti-inflammatory controls to see how this illustrative model changes.

Inputs and outputs

Inputs include anatomy, pathogen type, additional exposure, and conceptual medicine controls. The display reports modelled pathogen load, inflammation, tissue integrity, and immune activity; these are simulation values, not measurements from a person.

Important limitations

This is a stylized, non-clinical simulation. Its timings, counts, shapes, and treatment strengths are invented for exploration. It does not diagnose illness, predict a real infection, or show whether a medicine will work for a patient. Do not use it to make health or treatment decisions.

Network and data

The 3D scene loads Three.js from jsDelivr, so an internet connection is needed to load the model. Scenario state is held in the current page and is not saved to an application account. The page also uses the site's standard Google Analytics page-view tag when online.

Frequently asked questions

Do the medicines show real treatment results?

No. Treatment strengths and outcomes in this model are invented and cannot predict results for a real person.

Does this store patient information?

There is no patient-record input or application account. The scenario is a page-local simulation; standard page-view analytics may run when connected.

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