Analyse your data with our AI software

Redefine your quantitative biomedical data analysis workflow using our AI-based cloud technologies. Check out our latest biomedical data analysis software below or contact us for customised solutions!

KymoButler

Cloud app to analyse kymographs for cell biology applications. Click here to give it a try!

Cell Segmentation

Cloud app to trace outlines of cells for cell biology applications. Click here!

Nuclei Segmentation

Cloud app to trace outlines of nuclei for cell biology applications. Click here!

Western Blot Analysis

Cloud app to extract data from Western blots. Click here!

Your application

Contact us to discuss how improve your biomedical data analysis with our AIs! Read our FAQs here

Meet our team

Dr Andrea Dimitracopoulos

Dr Andrea Dimitracopoulos

co-founder

Postdoc in Neuroscience at the University of Cambridge
MRes and PhD in Modelling Biological Complexity
MSc and BSc in Biomedical Engineering

Max Jakobs

Max Jakobs

co-founder

PhD Student in Developmental Biology at the University of Cambridge
MSc and BSc in Physics

 Dr Kristian Franze

Dr Kristian Franze

Senior Scientific Advisor

Reader in Neuronal Mechanics and Fellow of St. John's College at the University of Cambridge

What clients say about deepMirror

Elizabeth Akin, Postdoc

Waxman Lab, Yale University

KymoButler from deepMirror is the best program I have used for automated kymograph analysis. It has simultaneously improved the quality of our data and the speed of our analysis. The team at deepMirror has been incredibly responsive and has created a custom output program specifically tailored for the needs of our lab.

Julie Qiaojin Lin, Postdoc

UK Dementia Research Institute, University of Cambridge

I am a user of a customised version of KymoButler developed by deepMirror, which allows me to batch-analyse hundreds of kymographs and extract a comprehensive list of measurements. Compared to most existing tracking software, KymoBulter identifies a significantly lower number of false positive/negative tracks. It is particularly robust in picking up puncta with weak fluorescence and is thus suitable for analysing kymographs originated from biological samples. Customer service is very efficient and helpful in answering questions related to the usage and performance of KymoButler, which made it easy to obtain satisfactory results.

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We will help you find the best data analysis solutions for your biomedical applications. Read our FAQs here

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