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dc.contributor.authorChang, Yu-Fen
dc.contributor.authorStruchalin, Pavel
dc.contributor.authorNæss, Bodil
dc.contributor.authorAdamsen, Tom Christian Holm
dc.contributor.authorBalakin, Boris
dc.date.accessioned2024-01-05T12:48:23Z
dc.date.available2024-01-05T12:48:23Z
dc.date.issued2023-12-21
dc.description.abstractThis paper reports the development of a positron imaging method for in vivo single-cell tracking under high-noise conditions. Following biological processes spatially and temporally at a single-cell level in a living organism is desirable for inquiring into the relationships between the behaviours and properties of cells. Positron-emitting radionuclides enable detecting and following radioactivity-labelled substances deep inside living organisms. However, positron imaging has several challenges, such as the distribution of high noise in other areas close to the cell under investigation. In this work, an algorithm for locating a cell with millisecond resolution to combat the strong interference of nearby noise is developed. The feasibility of the method is verified by the demonstration of particle tracking and detection of behavioural changes in an environment with the signal-to-noise ratio of 1:9.en_US
dc.identifier.citationChang Y.-F., Struchalin P, Næss B, Adamsen TCH, Balakin BV. Development of an imaging method for in vivo single-cell tracking under high-noise conditions: a proof of principle. Journal of Physics: Conference Series (JPCS). 2023;2675en_US
dc.identifier.cristinIDFRIDAID 2217436
dc.identifier.doi10.1088/1742-6596/2675/1/012009
dc.identifier.issn1742-6588
dc.identifier.issn1742-6596
dc.identifier.urihttps://hdl.handle.net/10037/32354
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.relation.journalJournal of Physics: Conference Series (JPCS)
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2023 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleDevelopment of an imaging method for in vivo single-cell tracking under high-noise conditions: a proof of principleen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)