Automated image analysis that turns microscopy images into reliable, reproducible data, in seconds.

“ How confluent is this flask, right now? ”

“ How many cells are here, and how many are still viable? ”

“ Did the scratch close faster under treatment? ”

“ How have my spheroids grown across every timepoint? ”

Used by researchers at

Imperial College London University of Edinburgh Harvard University University College London Technical University of Denmark Delft University of Technology University of Aberdeen University of Sheffield
How it works

Three steps.
From bench to data.

Step 1

Upload your images

Drag in brightfield microscopy images from adherent, suspension, scratch assay, or spheroid cultures. No code, no installation, no hardware.

Raw brightfield microscopy image before analysis
Step 2

Analyse and review

CellOpsis segments every image in about five seconds, then shows you the masks it drew so you can check the result before you trust it.

The same image with CellOpsis segmentation outlines drawn over each cell
Step 3

Export the data

Take away counts, confluency, and viability as CSV alongside labelled images, ready for your lab record, your report, or your automation stack.

Cells2,416
Viable91%
Analysis5 sec
image_id,cell_count,viability,model
suspension-demo-01,2416,0.91,suspension-v1
adherent-demo-01,1284,,adherent-v1
Download example CSV
Use cases

One model family reads every culture format you run.

Drag any divider to compare the raw image with what CellOpsis sees.

Adherent cells

Track confluency, growth, and repeatable cell counts over time from label-free images.

Raw adherent cell microscopy image Adherent cell image with segmentation overlay Segmented Raw

Suspension cells

Detect suspended cells in dense brightfield images and determine their viability over time.

Raw suspension cell microscopy image Suspension cell image with segmentation overlay Segmented Raw

Scratch assay

Follow wound closure and treatment response across timepoints.

Raw scratch assay microscopy image Scratch assay image with segmentation overlay Segmented Raw

Spheroids

Track spheroid growth, structure, and response over time in organoid and aggregate studies.

Raw spheroid microscopy image Spheroid image with segmentation overlay Segmented Raw

Don't see your exact use case?

If your assay, imaging modality, or throughput does not fit the formats above, tell us what you are working on. We build and train custom models on your own data and fit them to the workflow your team already runs.

Tell us what you need
Model training

Models that get sharper with every image you run.

Our product

Adapts to your set-up

Fine-tune segmentation on your own images and it improves with every correction you make. No labelling thousands of frames, no scripting, no ML team.

Off-the-shelf models

Generic, and hard to fit

Pre-trained models are awkward to set up and rarely tuned to your modality. Even running well, they miss the detail that matters on your specific images.

Counting by hand

Slow, and hard to repeat

Manual counts and threshold-tweaking do not scale, drift between operators, and quietly introduce bias into the numbers you publish.

Why labs choose us

01

Seconds, not afternoons

An image is analysed in about five seconds. Work that used to eat an afternoon at the microscope comes back before you have left the bench.

02

No code, no installation

It runs in the browser. There is nothing to install, nothing to configure, and no engineer needed to keep it running.

03

Repeatable across runs

The same model reads every image the same way, so counts stay comparable between flasks, timepoints, and people in the lab.

04

Tuned to your cells

Where the built-in models fall short on your images, train CellOpsis on your own data until it reads them the way you would.

Request a demo

Walk through your imaging workflow with us.

Bring your imaging setup, your assay, and one awkward image. We will show you where CellOpsis fits, what it would take to tune a model to your cells, and where the time savings actually land.

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FAQ

Common questions about us.

What is CellOpsis?

CellOpsis is VolkCell's AI-powered image analysis software for cell biology labs. It turns raw microscopy images into reliable insights in seconds, directly in the browser, with no code, no installation, and no hardware required.

How accurate and fast is CellOpsis?

CellOpsis reaches 95% accuracy in the majority of cases, analysing roughly one image every 5 seconds. Where the built-in models fall short on your images, you can train CellOpsis on your own data to reach that level of accuracy and higher.

Which cell types and culture formats does CellOpsis support?

CellOpsis supports adherent, suspension, scratch/wound (scratch assay), and spheroid cultures using a single model family, providing counts, confluency, and viability measurements.

How much does CellOpsis cost?

CellOpsis Live has a free tier (up to 5 images per day). The Academic plan is free for verified academic users, with 1,000 images per month and custom model training. Enterprise plans, with image volume matched to your throughput plus workflow integrations and priority support, are available on request.

Where is VolkCell based?

VolkCell is based in Edinburgh, United Kingdom.

Join us

Start with one image.

Bring one microscopy image. CellOpsis will show you the fastest path from image to data.