Cell culture
Adherent cells
Track confluency, growth, and repeatable cell counts over time from label-free images.
Segmented
Raw
image analysis, automated
Count cells in seconds, not hours.
CellOpsis turns raw microscopy images into reliable insights in the browser. Upload an image, review your results, and monitor your experiments over time.
Free tier available. Upload up to 5 images/day. No code, no installation, no credit card to start.
Cell count
1,284
Confluency
42%
Time
5 sec
Upload image
Analyse
Export CSV
5 sec
per image to be analysed
Custom
models to suit your workflow
>95%
detection accuracy
30GB
of images processed to date
01 / The product
AI-powered image analysis in the browser.
No code, no installation, no hardware. One model family analyses every culture format. Drag any divider to compare the raw image with what CellOpsis Live sees.
Segmented
Raw
Suspension
Suspension cells
Detect suspended cells in dense brightfield images and determine their viability over time.
Segmented
Raw
Wound closure
Scratch assay
Follow wound closure and treatment response across timepoints.
Segmented
Raw
3D culture
Spheroids
Track spheroid growth, structure, and response over time in organoid and aggregate studies.
Segmented
Raw
Example output
See exactly what CellOpsis gives you back.
If you are not ready to create an account yet, inspect a sample result first: the labelled image, the measurements, and the CSV fields your workflow can use.
Example output
Sample analysis export
2,416 cells
91% viable
5 sec analysis
image_id, cell_count, viability, confluency, model
suspension-demo-01, 2416, 0.91, n/a, suspension-v1
03 / Pricing
CellOpsis Live plans.
Start on the free tier. Upgrade only when you need more images, custom models, or priority support.
Free
£0/month
- Up to 5 images per day
- Built-in segmentation models
- CSV and image export
- Community support
Academic
£10/month
- 500 images per month
- All segmentation models
- Train custom models on your data
- Spheroid and scratch assay analysis
- Full analysis and export
- Verified .ac.uk / .edu email required
Standard
£15/month
- 1,000 images per month
- All segmentation models
- Train custom models on your data
- Spheroid and scratch assay analysis
- Full analysis and export
- Email support
Token Pack
£10/250 images
- 250 image tokens, no expiry
- All segmentation models
- Train custom models on your data
- Spheroid and scratch assay analysis
- Full analysis and export
- No subscription needed
Academic pricing requires a verified institutional email (.ac.uk, .edu, or other approved academic domains). Need a custom plan for your lab or institution? Get in touch.
04 / FAQ
Common questions about CellOpsis.
Short, straight answers about what CellOpsis does, how accurate it is, and what it costs.
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 £10/month for 500 images per month with custom model training. The Standard plan is £15/month for 1000 images per month with custom model training and email support. Custom and institutional plans are available on request.
Where is VolkCell based?
VolkCell is based in Edinburgh, United Kingdom.
Join us
Powering the shift to self-driving labs.
Bring one microscopy image. CellOpsis will show you the fastest path from image to data.