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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24956

Title: Automated tracking of migrating cells in phase-contrast video microscopy sequences using image registration
Authors: Hand, A.J.
Sun, Tao
Barber, D.C.
Hose, D.R.
MacNeil, Sheila
Issue Date: 2009
Publisher: Wiley (Journal © The Royal Microscopical Society, article © the authors)
Citation: HAND, A.J. ... et al, 2009. Automated tracking of migrating cells in phase-contrast video microscopy sequences using image registration. Journal of Microscopy, 234 (1), pp.62-79
Abstract: Analysis of in vitro cell motility is a useful tool for assessing cellular response to a range of factors. However, the majority of cell-tracking systems available are designed primarily for use with fluorescently labelled images. In this paper, five commonly used tracking systems are examined for their performance compared with the use of a novel in-house celltracking system based on the principles of image registration and optical flow. Image registration is a tool commonly used in medical imaging to correct for the effects of patient motion during imaging procedures and works well on low-contrast images, such as those found in bright-field and phase-contrast microscopy. The five cell-tracking systems examined were Retrac, a manual tracking system used as the gold standard; CellTrack, a recently released freely downloadable software system that uses a combination of tracking methods; ImageJ, which is a freely available piece of software with a plug-in for automated tracking (MTrack2) and Imaris and Volocity, both commercially available automated tracking systems. All systemswere used to track migration of human epithelial cells over ten frames of a phase-contrast time-lapse microscopy sequence. This showed that the in-house image-registration system was the most effective of those tested when tracking non-dividing epithelial cells in low-contrast images, with a successful tracking rate of 95%. The performance of the tracking systems was also evaluated by tracking fluorescently labelled epithelial cells imaged with both phase-contrast and confocal microscopy techniques. The results showed that using fluorescence microscopy instead of phase contrast does improve the tracking efficiency for each of the tested systems. For the in-house software, this improvement was relatively small (<5%difference in tracking success rate),whereasmuch greater improvements in performance were seen when using fluorescence microscopy with Volocity and ImageJ.
Description: This paper is closed access.
Sponsor: We thank EPSRC for providing a PhD studentship for A.J. Hand. The Wellcome Trust (grant no. GR077544AIA) is acknowledged for support of the University of Sheffield Light Microscopy Facility.
Version: Closed access
DOI: 10.1111/j.1365-2818.2009.03144.x
URI: https://dspace.lboro.ac.uk/2134/24956
Publisher Link: http://dx.doi.org/10.1111/j.1365-2818.2009.03144.x
ISSN: 0022-2720
Appears in Collections:Closed Access (Chemical Engineering)

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