In-silico cell biology

1000 variants. Go wider and faster with your experiments.

Grow cells in silico, perturb them, and replay every run. Discover and invent with more possibilities - no wet lab, no waiting on the next plate.

The old way: one condition, weeks of culture, one plate, one shot. Miss the window and you start the whole thing over.

Every question you do not ask is a hypothesis you never test, because each test costs reagents, incubator time, and a month you will not get back.

Ask a question, watch the cells answer

Four experiments you can open right now. Each loop is a real recording from the engine - nothing storyboarded.

Knock out a signal

Kill a survival source and a void opens. The tissue churns around it - death balanced by regrowth, not a frozen husk.

Open in player

Drop a morphogen bead

One genome reads two beads into neuron, epithelial, and stem fates by position. Move the bead, move the boundary.

Open in player

1000 variants

Place growth factor where you want division. The cell cycle speeds up only where the signal is high - rerun with a different layout, get a different population.

Open in player

Replay the run

Every run is recorded. Scrub it, replay it, hand it to a collaborator - same seed, same result, bit for bit.

Open in player

One genome. Two morphogens. Three emergent cell types. Nothing scripted.

Validation

Not asserted to be right. Shown to be.

Five published results are reproduced and pinned. Each re-runs a spec and checks a quantitative number against a reference within tolerance - on every change, so they cannot silently break.

  1. 01Morphogen gradientFrench-flag positional information (Wolpert)
  2. 02Density-dependent apoptosisCrowding-triggered cell death
  3. 03Population growthExponential to carrying capacity
  4. 04Differential-adhesion sortingSteinberg
  5. 05Calcium-wave frontPropagating signal front
Read the full capabilities sheet

Fast enough to ask again

A full run on a laptop, no cluster. Determinism is free - rerun the same seed and you get the same population, every time.

6,000
cells
2,600
ticks
~2 s
to run, headless
1:1
same seed, same result

Who it is for

Test the perturbation before you pipette it. Narrow a dozen conditions down to the two worth running on the bench.
Wet-lab biologist
Turn a grad-student-month of pilot runs into an afternoon of variants, and keep every run as a replayable protocol.
Principal investigator
Learn development by building it. Drop a bead, watch fate emerge, and see why the gradient matters.
Student
Soon

Drug discovery - screen a hypothesis space in silico before committing reagents.

Grow your first colony in the next minute.

No install, no signup. Open a live recording and scrub it.