An integrated AI platform for 5D microscopy and cell modelling

We’re building an innovative AI-powered microscope that captures living cells in 5D — space, time, and colour — completely automatically and leveraging Deep Learning to build generative models of dynamic cellular processes with the ultimate goal of transforming discovery science and drug development

The barriers

Challenges in bioimaging

Biological processes are dynamic, complex, and highly variable from cell to cell. To truly understand them, we need technology that can look at thousands of cells at high speed, while still showing tiny details — yet current technologies force a trade-off between the two.

Our solution

Funded by a Wellcome Trust Bioimaging Technology Development Award, we are building an AI-driven, fully automated imaging platform that brings together:

An AI-driven fluorescence microscope that can autonomously capture thousands of cells in 3D, in multiple colours and over time (5D)

Integrated robotics to culture, feed and manipulate the cells before and during imaging

Innovative Deep Learning solutions to build generative models of complex, dynamic cellular processes (“Virtual Cells”) learnt from the obtained large 5D datasets

An innovative discovery pipeline

From data to “Virtual Cells”

Our integrated pipeline goes beyond imaging: it creates dynamic, probabilistic models of cell behaviours (“Virtual Cells”) that can be interrogated to answer specific biological questions. These models will let us ask new questions, test ideas, and explore biological processes in ways that weren’t possible before.

What research will it catalyse?

Our platform will empower researchers to:

Explore complex cellular dynamics at unprecedented scale

Develop new strategies for drug discovery

Advance knowledge of different cellular processes

Apply AI to uncover hidden patterns across massive imaging datasets

Latest news

Events

Our first Community Event

On 12 June 2025, we opened our doors to the bioimaging community for our very[…]

Our team

We are an interdisciplinary team of biologists, computer scientists and engineers with a shared passion for bridging the gaps between disciplines to deliver transformative science

Davide Calebiro
PI

Professor of Molecular Endocrinology

and Co-Director of the Centre of Membrane Proteins and Receptors (COMPARE) at the University of Birmingham

Ales Leonardis
CO-I

Professor in the School of Computer Science at the University of Birmingham

Hector Basevi
co-i

Postdoctoral Research Fellow at

the University of Birmingham

with expertise in biomedical imaging and

image/scene interpretation

Edalat Radfar
co-i

Advanced Imaging Specialist at

the COMPARE Advanced

Imaging Facility at the University of Birmingham

Jiahao Zheng

Postdoctoral Bioimaging Developer

Research Fellow at the University

of Birmingham

Silvia Ghislanzoni

Postdoctoral Research Fellow

at the University of Birmingham with a background in chemistry and biology