Horizon 2020 (2014 - 2020)

CellsBox: a modular system for automated cell imaging experiments

Last update: May 7, 2021 Last update: May 7, 2021

Details

Locations:UK
Start Date:Mar 1, 2019
End Date:Feb 28, 2021
Contract value: EUR 149,931
Sectors:Science & Innovation
Science & Innovation
Categories:Grants
Date posted:May 7, 2021

Associated funding

Associated experts

Description

Programme(s): H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)

Topic(s): ERC-2018-PoC - ERC Proof of Concept Grant

Call for proposal: ERC-2018-PoC

Funding Scheme: ERC-POC - Proof of Concept Grant

Grant agreement ID: 825238

Objective
"Based on research from ERC CoG HydroSync where we developed both hardware and software approaches to cell imaging, we are in the position to develop translationally a cell culture and imaging unit, with integrated modular hardware and analysis software allowing automated robust performance. This promises to not just significantly bring down the costs for a broad spectrum of cell biology and single cell imaging experiments. It will also make these experiments more reproducible, systematic and easily accessible in standardised fashion. Perhaps most important of all, by designing in an integrated (whilst modular architecture) system all the components of the experiment (optics, mechanics, cell environment and fluids control, cell sample chambers, analysis), we make it possible to rapidly feedback information on the state of the sample into actions by any of the other modules, thus allowing a new space of experimental design. This automation in running the experimental stage of cell biology, microbiology, infectious disease models, early embryo developmental work, etc (i.e. any of the many situations where one aims to follow the properties of individual cells) also aligns to the current revolution triggered by machine and deep learning approaches. We can imagine a day when integrated experimental ""CellsBoxes"" perform, in a hypothesis-driven optimised and tireless fashion, a battery of experiments that today would simply be inconceivable. This project addresses one of the experimental bottlenecks that still make too much of biological and medical research subject to bias and poor reproducibility, and change the nature of point-of-care cell tissue analysis. It will be disruptive in the current landscape of optical cell imaging, a market > $1bn globally."

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