Image analysis consultancy
When your analysis needs more than a training course, we design, build and validate it with you, from a single difficult measurement to a pipeline your whole lab can run.
What we can help with
Assessment and planning
Not sure how to analyse your images, or whether they can answer your question? We review sample data, recommend methods and help you plan acquisition so the analysis will work.
Custom analysis
Segmentation, spot detection, colocalisation, tracking and morphology measurements, tuned to your images and your biological question.
Automation at scale
Batch pipelines that process whole experiments reproducibly, with GPU acceleration where it saves time.
AI and deep learning
Deep-learning segmentation, denoising and object detection, using pretrained models or models trained on your own images.
Examples of what we’ve built
Tools are delivered in whatever your team already uses: Fiji plugins with point-and-click interfaces, Python pipelines, or R for statistics and figures.
- Fiji plugins that let lab members run Cellpose segmentation and Spotiflow spot detection without writing code
- Nuclear foci segmentation and 3D colocalisation for super-resolution microscopy
- Self-supervised deep-learning denoising with Noise2Void
- Organoid detection in large images with a YOLO model
- Chromatic aberration correction for multi-colour 3D imaging
- smFISH spot detection with spatial clustering
- An interactive web app for calcium-imaging analysis
- Unsupervised clustering of imaging flow cytometry data
How a project runs
- Send a few example images and tell us what you want to measure.
- We talk it through and check whether the images can answer your question.
- You receive a written proposal with the scope, deliverables and cost.
- We build the analysis and validate it on your data, checking results with you as we go.
- We hand over the tool with documentation and a walkthrough for your team.
Why work with us
You work directly with a PhD-trained cell biologist, so the analysis is shaped by the biology as well as the pixels.
The same person teaches bioimage analysis, so a hand-over covers how the method works and where it can fail, not just which button to press.