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Abstract
Synaptic vesicle recycling at the presynaptic terminal of neurons is essential for the maintenance of neurotransmission at central synapses. Among the tools used to visualise the mechanics of this process is time-series fluorescence microscopy. Fluorescent dyes such as FM1-43, or engineered fluorescent versions of synaptic vesicle proteins such as pHluorins, have been employed to reveal different steps of this key process [3,7]. Predictive in silico modelling of potential experimental outcomes would be highly informative for these time consuming and expensive studies.
We present FM-Sim [9], user-friendly software for defining and simulating fluorescence microscopy experimental assays, with the following features: intuitive user definition of experimental protocols; automatic conversion of protocol definitions into time series rate value changes; domain-specific simulation model of a synaptic terminal; experimental data used for model parameter value inference; automatic Bayesian inference of parameter values [1,5] and reduction of inferred parameter set size for Bayesian inference.
We present FM-Sim [9], user-friendly software for defining and simulating fluorescence microscopy experimental assays, with the following features: intuitive user definition of experimental protocols; automatic conversion of protocol definitions into time series rate value changes; domain-specific simulation model of a synaptic terminal; experimental data used for model parameter value inference; automatic Bayesian inference of parameter values [1,5] and reduction of inferred parameter set size for Bayesian inference.
Original language | English |
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Title of host publication | Computational Methods in Systems Biology |
Subtitle of host publication | 12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings |
Publisher | Springer |
Pages | 248-251 |
Number of pages | 4 |
Volume | 8859 |
ISBN (Electronic) | 978-3-319-12982-2 |
ISBN (Print) | 978-3-319-12981-5 |
DOIs | |
Publication status | Published - 2014 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 8859 |
ISSN (Print) | 0302-9743 |
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Dive into the research topics of 'FM-Sim: Protocol Definition, Simulation and Rate Inference for Neuroscience Assays'. Together they form a unique fingerprint.Projects
- 1 Finished
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Systems Training in Maths, Informatics and Computational Biology (SySMIC)
1/01/12 → 31/12/16
Project: Research
Profiles
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Stephen Gilmore
- School of Informatics - Personal Chair in Software Systems Modelling
- Laboratory for Foundations of Computer Science
- Data Science and Artificial Intelligence
Person: Academic: Research Active