Cell Cinema

Follow how living-cell chemistry
changes under treatment.

Biology has been doing forensics.
We're making film.

Why time matters

A response has a history.

A final measurement can miss when change began and what changed first. Cell Cinema follows chemical change across space and time.

  • TimingWhen does change begin?
  • PersistenceWhich changes last?
  • CoordinationWhich features change together?

Watch a cell respond.

Label-free chemical imaging follows living cells over time.

SK-MEL-2 + RSL3 · Eight hours in 16 seconds.Processed chemical maps; interpolated playback.
Three chemical-feature trajectories over eight hours. The CH-rich signal falls early in both examples, then rises in SK-MEL-2 with RSL3 while staying lower in A375 with vemurafenib. Protein-associated signal relative to CH follows opposite directions.
A shared early drop. Different chemical trajectories.The CH-rich signal later rises in SK-MEL-2 + RSL3 and stays lower in A375 + vemurafenib. Cell model and treatment both differ.
About these measurements

Movie colors represent processed spectral-feature classes, not validated organelles. Display frames are interpolated. The video is silent.

Plots show representative processed trajectories, with mean ± SEM across regions. Protein-associated signal relative to CH rises in SK-MEL-2 + RSL3 and falls in A375 + vemurafenib. Both cell model and treatment differ, so this comparison does not isolate a treatment effect. Feature ratios describe relative signals; they do not establish mechanism, viability, or cell fate.

View the full-size plot
Inspect the acquired observations

The platform and the purpose

Measured biology
for virtual-cell AI.

Models of cellular change need observations of how cells respond. Cell Cinema records chemical features with treatment, location, and time.

  1. Measurement

    Living-cell chemistry

    Map label-free chemical features and their spatial organization after treatment.

    Acquired observations

  2. Connection

    Response histories

    Connect measurements with treatment, location, and time to follow the sequence of change.

    Chemical trajectories

  3. Research direction

    Virtual-cell models

    Use response histories to develop models of cellular change and test their predictions against later measurements.

    Model development and evaluation

The research question: Can earlier observations help predict a later measured response?

Read the measurement approach Technical brief · PDF

Incubated at MBC BioLabs, San Carlos

Our Capabilities

Cell Cinema combines label-free chemical imaging with repeated observation of the same living cells. The result is a record of chemical features, their spatial organization, and how they change over time.

Chemical & Spatial Readouts

Map spectral features within living cells to connect changes in chemistry with where those changes occur.

Label-Free Measurement

Measure native vibrational-spectral features without fluorescent labels. Processed feature maps reveal patterns to investigate with complementary biological assays.

Same-Cell Trajectories

Repeat measurements of the same living cells to follow the timing, direction, and persistence of chemical-feature changes after a perturbation.

Our near-term focus / Toxicity

Toward earlier
toxicity signals.

Our next step is to test whether early changes in living-cell chemistry can anticipate later toxicity readouts—and help focus the next experiment.

01 / Measuring now

Follow the response.

Measure when chemical features shift after exposure, starting with our melanoma-cell pilot.

02 / Next validation step

Connect chemistry to cell health.

Pair early trajectories with independent viability and toxicity measurements.

03 / Build toward

Test across compounds.

Evaluate candidate signals across compounds and controls to learn whether they can inform earlier compound triage.

Medium-term goal

A drug-response
biofactory.

Bring controlled experiments, repeated chemical measurement, and analysis into one repeatable workflow.

The goal: comparable response histories across compounds, doses, and cell models, supporting drug-response research and virtual-cell models.

Explore the hardware platform

The hardware behind the data.

Biophotonics
Developing optical systems for repeated, label-free measurements of living-cell chemistry.
MBOP chips
Bringing optics, microfluidics, and incubation together in a controlled experimental environment.
Luma · Arizona
Our Arizona hardware program is building toward fabrication and screening infrastructure for the biofactory.
Read the Luma announcement

For pharma, biotech, and AI research teams

Start with a biological question.

Explore a focused study of how living cells respond to a perturbation. We’ll define the experiment and analysis around the question you need to answer.

Discuss a study
You bring
Your cell model, perturbation, and research question.
We scope together
Experimental fit, controls, sampling plan, and evaluation criteria.
Study outputs to agree
Chemical feature maps, response trajectories, and analysis linked to the study question.

A closer look

Questions, answered.

The measurement, the public evidence, and where a collaboration could begin.

What can I explore today?

The public Cell Cinema preview includes processed movies, an explanation of the measurement approach, scientific references, and evaluation criteria. Examples follow SK-MEL-2 melanoma cells under RSL3 treatment and A375 melanoma cells after vemurafenib treatment.

Open the technical preview
What does following the same cell add?

A trajectory connects a cell’s earlier state to its later response. That history lets researchers ask when changes appear and how responses differ across cells, alongside the information available from an endpoint measurement.

See how a cell-state record is built
How does this connect to virtual cell AI?

Observed drug-response trajectories can provide data for developing and evaluating models of cellular behavior. The test is whether a model can predict later responses on held-out experiments. The preview does not establish predictive accuracy or clinical utility.

Read the evaluation criteria
How do we explore a collaboration?

Tell us about your cell model, the perturbation you want to study, and the decision or research question you want to inform. We can discuss the experimental fit, relevant readouts, and how an evaluation could be designed.

Start a research conversation

Blog & News

Updates on research, milestones, and strategic insights from our team

Representative processed Cell Cinema frame showing live-cell chemical measurements

Featured · Technology

Cell Cinema: live-cell data for virtual cell AI

Watch live-cell chemical movies and explore how label-free imaging follows the same living cells over time, providing observed perturbation-response trajectories for virtual-cell models.

Explore Cell Cinema
Drug Discovery News: 'You Cannot Understand Biology by Killing It'
Media Coverage • 2026-05-11

Drug Discovery News: 'You Cannot Understand Biology by Killing It'

Drug Discovery News features Precigenetics and Cell Cinema in a piece on the field's shift away from destructive endpoint assays toward continuous, label-free measurement of living cells.

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R&D World: Why Precigenetics Aims to Swap Cell 'Autopsies' for Live-Cell Measurement
Media Coverage • 2026-04-22

R&D World: Why Precigenetics Aims to Swap Cell 'Autopsies' for Live-Cell Measurement

R&D World profiles Precigenetics and our work building real-time chemical movies of living cells, and the case for a measurement step-change in drug discovery.

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Beyond the Snapshot: Digitizing the Living Cell in Real Time
Technology • 2025-09-29

Beyond the Snapshot: Digitizing the Living Cell in Real Time

How repeated chemical measurements of living cells can connect cellular changes over time and support drug-response research.

Read More