Refereed conference paper presented and published in conference proceedings

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AbstractAccurate and robust spot tracking is a necessary tool for quantitative motion analysis in fluorescence microscopy images. Few trackers however consider the underlying dynamics present in biological systems. For example, the collective motion of cells often exhibits both fast dynamics, i.e. Brownian motion, and slow dynamics, i.e. time-invariant stationary motion. In this paper, we propose a novel, multi-frame, tracker that exploits this stationary motion. More precisely, we first estimate the stationary motion and then use it to guide the spot tracker. We obtain the stationary motion by adapting a recent optical flow algorithm that relates one image to another locally using an all-pass filter. We perform this operation over all the image frames simultaneously and estimate a single, stationary optical flow. We compare the proposed tracker with two existing techniques and show that our approach is more robust to high noise and varying structure. In addition, we also show initial experiments on real microscopy images.
All Author(s) ListLi JZ, Gilliam C, Blu T
Name of ConferenceIEEE International Conference on Image Processing (ICIP)
Start Date of Conference27/09/2015
End Date of Conference30/09/2015
Place of ConferenceQuebec City
Country/Region of ConferenceCanada
Detailed descriptionorganized by IEEE,
Pages3670 - 3674
LanguagesEnglish-United Kingdom
Keywordsall-pass filters; fluorescence microscopy; optical flow; Spot tracking; stationary motion
Web of Science Subject CategoriesEngineering; Engineering, Electrical & Electronic; Imaging Science & Photographic Technology

Last updated on 2020-08-08 at 02:01