Stromalytix / Biofab Box

Software and robots
for engineered tissues.

For biotech R&D and biomaterials teams turning published methods into experiments they can test. I’m building Stromalytix to connect tissue design, simulation and manufacturing—with the evidence and assumptions visible at each step.

Liver is the first demonstration. The broader goal is a workflow adaptable to different tissues and biomaterials. Biofab Box is the planned hardware component, starting with a donated printer.

Software prototypeCalculated oxygen resultsHardware in development

See what works today.

Source-linked inputs, cell–matrix and oxygen models, hardware designs, and a lab-workflow mockup.

2:40 · Silent walkthrough with on-screen explanations. The software is demonstrated; printing and biological validation are next.

Choose a chapter, then press Play. Use fullscreen for small text, or open the written walkthrough below. Download the video.

Read the walkthrough
  1. The software extracts seven experimental inputs from one published liver study, retaining units, source passages, assumptions and missing parameters.
  2. An executed 3D CompuCell3D sensitivity study compares two assumed cell–matrix contact energies at a rigid gel interface. It uses generic cells, with no mapping to a cell line or material formulation.
  3. A separate HepG2/C3A reference calculation compares oxygen transport in three whole-gel thicknesses. The models are complementary and are not coupled or reproductions of the preceding paper.
  4. The oxygen geometry produces fabrication targets and a proposed verification plan. Oxygen, viability and function require their own laboratory measurements.
  5. The hardware section shows the actual donor printer, followed by conversion, calibration, modular architecture, culture, mechanics and imaging concepts.
  6. The final mockup illustrates proposed SystemLens and StarNet OS task coordination and a lab digital twin. No live StarNet connection, equipment command or measurement is demonstrated.

What changes at
the cell–matrix interface?

Executed 3D CompuCell3D sensitivity study. A local mechanism experiment for the liver-tissue design context.

Actual CC3D basal contact maps and three-seed trajectories: lower assumed cell–matrix contact energy produces more matrix contact in this model.
18 generic cells, a rigid matrix surface, two contact-energy assumptions and three seeds per condition. Contact area is measured from actual saved cell fields. Colors identify individual cells, not cell types.

A mechanism we can inspect.

At 600 Monte Carlo steps, matrix contact was 405–411 lattice faces for J = 2 and 219–221 for J = 24. Everything else was held fixed. These are ranges across three seeded runs, not confidence intervals.

Cell count, connectedness, volume bounds, matrix stability and exact same-seed repeatability passed numerical checks.

A calibration problem we still own.

The cells and rigid interface are an idealization. No parameter mapping to HepG2/C3A, a GelMA formulation, micrometres, hours or stiffness has been established. This is a complementary sensitivity study, not the same geometry as the oxygen model and not a coupled simulation.

No viability, liver function, drug response or formulation recommendation follows from this demonstration.

One design decision.
Three gel thicknesses.

How does thickness change the oxygen available inside a printed construct?

Calculated oxygen fields for 0.2, 0.6 and 1 millimeter gels. Under the nominal assumptions, thicker gels have lower minimum oxygen.
Saved computational results. All three designs remain sensitive to input assumptions. Oxygen availability alone does not establish cell viability, tissue function or drug-safety performance.

Switches between previously calculated cases. This page does not rerun the solver.

22.6 µM

Nominal minimum oxygen in the gel

Assumption envelope5.42–190 µM
Target gel volume0.402 µL
Target diameter1.6 mm
Initial cell density10 million cells/mL

A prediction to challenge.

This separate reference calculation uses HepG2/C3A assumptions and a GelMA reference material. It models steady oxygen transport and cellular uptake in a static well.

The range reflects eight combinations of uptake, diffusivity and surface-oxygen assumptions. It is not a confidence interval. The next decision is which measurements will narrow those assumptions.

Numerical checks passed for the saved calculation. Physical printing, oxygen measurements, cell viability and liver-function testing have not been performed.

Saved calculation: 67f4272f0fb6bbf3

Inspect model scope and provenance

The model is a 2D axisymmetric finite-volume calculation with Michaelis–Menten oxygen uptake, separate gel and medium diffusivities, fixed surface oxygen, and no-flux walls and floor. It assumes uniformly distributed cells; it does not model growth, death, perfusion or drug response.

The software workflow in the video extracts seven source-linked inputs from a published primary-human-hepatocyte study. This oxygen calculation is a separate HepG2/C3A reference, not a validated prediction of that paper’s experiment.

Download the full saved calculation · Download predictions

One build.
Several distinct jobs.

Recovered design iterations and module concepts. These images show proposed hardware, not completed instruments.

Concept illustration: Syringe conversion
01 · Syringe conversion
Replace filament extrusion with controlled syringe dispensing. Concept; donor conversion is next.
Concept illustration: Registration & calibration
02 · Registration & calibration
Establish carrier position, nozzle clearance and actual delivered volume. Concept; no calibration result shown.
Concept illustration: Modular architecture
03 · Modular architecture
Motion, cooled syringe, carrier, sensing and a separate electronics bay. Design study, not a fabrication drawing.
Concept illustration: Culture & sampling
04 · Culture & sampling
External incubator and a proposed perfusion circuit. Culture handling, flow and drug recovery require qualification.
Concept illustration: Mechanical characterization
05 · Mechanical characterization
Hydrated witness-gel compression and relaxation. Force, geometry and displacement need calibrated measurements.
Concept illustration: Imaging & assays
06 · Imaging & assays
Plate positioning and microscopy concept. Viability and tissue function require separate controlled assays.

The actual donor is a Creality CR-10. Temperature-controlled dispensing, automated registration, perfusion, mechanical testing and imaging integration are design goals. The initial laboratory workflow includes manual transfers.

From a design
to a controlled run.

SystemLens + StarNet OS lab-integration concept. This local mockup illustrates task handoffs and a digital-twin layout; it is not connected to the live StarNet service or laboratory equipment.

Concept layout · not to scaleNo connected equipmentMachine dispatch disabled
EvidenceSource-linked candidate saved
ModelsComputational outputs saved
ReviewScientific qualification required
FabricationBlocked: conversion & calibration
MeasurementAwaiting qualified lab run
Design workstationReview sources and targets
Proposed syringe printerBiofab BoxPlanned syringe conversion
Proposed culture moduleCulture stationLab access still required
Proposed measurement moduleMeasurement stationOxygen, geometry and assays
Amber = current simulated stepCulture transfer remains an operator task
Simulation only

Step 1 of 6

Review the saved design

Inspect the 0.2 mm case and its assumptions. Proposed dispensing target: 0.402 µL. No machine command has been sent.

  1. Mockup opened. No equipment connected.

The intended process record links a sample ID, protocol version, equipment calibration, source artifacts, operator handoffs and eventual raw measurements. This interface demonstrates that planned control flow. Conversion, calibration, validated operating settings and qualified lab access are prerequisites for a physical run. Completing the walkthrough creates no experimental results.

The next proof
comes from the lab.

A proposed verification study exported alongside the geometry and predictions.

Print. Measure. Compare.

  1. Convert and calibrate the printer with cell-free material; measure dispensing and geometry across independent setups.
  2. Qualify the cell lot, material, culture conditions and oxygen measurement method with a lab partner.
  3. Freeze the inputs and predictions, then compare direct oxygen measurements at matching locations.
  4. Measure viability and tissue function separately, preserve failures, and revise the model when measurements disagree.

Study design, not completed work.

3Independent batches
3Gel heights
162Planned wells, including controls

The proposed study has separate 24-hour and day-7 endpoints. Batch is the independent unit. Lab-specific qualification and operating procedures must be completed before execution.

Agreement would support the oxygen model within the tested system. It would not establish drug-safety accuracy or biological function.

Build the next experiment
with a lab partner.

The next milestone is a calibrated printer and measurements that can challenge the saved predictions.

For teams choosing a material.

Biomaterials developers need to connect a formulation and its operating conditions to the experiment it is intended to support. Stromalytix is being built to make those inputs, assumptions and evidence inspectable.

For teams developing a tissue model.

Biotech R&D teams need reproducible experiments and a clear record of what changed. The intended workflow connects design decisions to fabrication and measurement, then uses the results to improve the next design.

The public repository may lag this prototype. The downloadable calculation and protocol above document the run shown here.