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dc.contributor.author
Bailey, Maximilian Robert
dc.contributor.author
Grillo, Fabio
dc.contributor.author
Isa, Lucio
dc.date.accessioned
2022-09-23T10:03:28Z
dc.date.available
2022-09-22T03:34:23Z
dc.date.available
2022-09-23T10:03:28Z
dc.date.issued
2022
dc.identifier.issn
1744-683X
dc.identifier.issn
1744-6848
dc.identifier.other
10.1039/d2sm00930g
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/572232
dc.description.abstract
Advancements in artificial active matter systems heavily rely on our ability to characterise their motion. Yet, the most widely used tool to analyse the latter is standard wide-field microscopy, which is largely limited to the study of two-dimensional motion. In contrast, real-world applications often require the navigation of complex three-dimensional environments. Here, we present a Machine Learning (ML) approach to track Janus microswimmers in three dimensions, using Z-stacks as labelled training data. We demonstrate several examples of ML algorithms using freely available and well-documented software, and find that an ensemble Decision Tree-based model (Extremely Randomised Decision Trees) performs the best at tracking the particles over a volume spanning more than 40 μm. With this model, we are able to localise Janus particles with a significant optical asymmetry from standard wide-field microscopy images, bypassing the need for specialised equipment and expertise such as that required for digital holographic microscopy. We expect that ML algorithms will become increasingly prevalent by necessity in the study of active matter systems, and encourage experimentalists to take advantage of this powerful tool to address the various challenges within the field.
en_US
dc.language.iso
en
en_US
dc.publisher
Royal Society of Chemistry
en_US
dc.title
Tracking Janus microswimmers in 3D with machine learning
en_US
dc.type
Journal Article
dc.date.published
2022-09-05
ethz.journal.title
Soft Matter
ethz.identifier.wos
ethz.publication.place
Cambridge
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2022-09-22T03:35:13Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.exportRequired
true
ethz.COinS
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