The University of Southampton
University of Southampton Institutional Repository

Autonomous experimentation: coupling machine learning with computer controlled microfluidics

Lovell, C.J., Jones, G. and Zauner, K.-P. (2009) Autonomous experimentation: coupling machine learning with computer controlled microfluidics At ELRIG Drug Discovery, United Kingdom. 07 - 08 Sep 2009.

Record type: Conference or Workshop Item (Other)

Abstract

Modelling biological systems is impaired by the cost of experimentally obtaining the data required to build the models. The resources available to perform experiments are typically very limited compared to the size of parameter spaces and the complexity of the systems under investigation. However, the confluence of laboratory automation and the low cost of computing resources make it practicable to apply a closed-loop strategy, where each experimental observation allows the computer to reason the experiment to perform next. By doing so, autonomous experimentation tries to capture the efficiency of experimentalists in navigating a seemingly boundless space of potential experiments. While computers can at most represent a very limited knowledge context in which they interpret their observations, they do have the benefit of being able to contemplate many thousands of hypotheses in parallel.

We will report on the development of an autonomous experimentation setup that devises hypotheses and decides on experiments which are then physically performed on a microfluidic device, all without human interaction. The purpose of our implementation is the investigation of biomolecular substrates for novel computing devices, however our approach is not specific to this application.

PDF LovellC09AECoupMLWithCCMabst.pdf - Version of Record
Download (40kB)

More information

Published date: September 2009
Venue - Dates: ELRIG Drug Discovery, United Kingdom, 2009-09-07 - 2009-09-08
Organisations: Agents, Interactions & Complexity, Electronic & Software Systems

Identifiers

Local EPrints ID: 267817
URI: http://eprints.soton.ac.uk/id/eprint/267817
PURE UUID: 5ebb1a06-f217-4889-8129-6f7eb8cd2310

Catalogue record

Date deposited: 01 Sep 2009 14:26
Last modified: 18 Jul 2017 06:59

Export record

Contributors

Author: C.J. Lovell
Author: G. Jones
Author: K.-P. Zauner

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×