A novel approach to identifying merging/splitting events in time-lapse microscopy

David Nam, Kenton Arkill, Lorna Hodgson, David Bull, Paul Verkade, Alin Achim

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
285 Downloads (Pure)

Abstract

This paper investigates the complex motion of particles in the endocytic pathway. We propose a novel tracking method, which identifies merging and splitting events of vesicles, in dual channel fluorescence confocal microscopy. Large amounts of quantitative data are needed for biologists to make sound conclusions about cellular dynamics. Having an automated method also allows biologists to identify rare events, which would otherwise be very time consuming. A co-localisation state is introduced to identify when vesicles are merged, across two channels. The approach is based on a probabilistic association between estimated vesicle states in each channel. We incorporate this into a reversible jump Markov chain Monte Carlo scheme. The approach has been successfully applied to synthetic videos as well as real data.

Original languageEnglish
Title of host publication2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)
Subtitle of host publicationProceedings of a meeting held 13-16 April 2016, Prague, Czech Republic
PublisherIEEE Computer Society
Pages964-967
Number of pages4
Volume2016-June
ISBN (Electronic)978-1-4799-2349-6
ISBN (Print)9781479923502
DOIs
Publication statusPublished - 16 Jun 2016
Event2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic
Duration: 13 Apr 201616 Apr 2016

Publication series

NameProceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro
PublisherIEEE
ISSN (Electronic)1945-8452

Conference

Conference2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
CountryCzech Republic
CityPrague
Period13/04/1616/04/16

Keywords

  • Biomedical imaging
  • Cell
  • Dual channel
  • RJMCMC
  • Tracking

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