DocumentCode :
2808597
Title :
A novel multiple particle tracking algorithm for noisy in vivo data by minimal path optimization within the spatio-temporal volume
Author :
Xue, Quan ; Leake, Mark C.
Author_Institution :
Clarendon Lab., Univ. of Oxford, Oxford, UK
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
1158
Lastpage :
1161
Abstract :
Automated tracking of fluorescent particles in living cells is vital for subcellular stoichoimetry analysis. Here, a new automatic tracking algorithm is described to track multiple particles, based on minimal path optimization. After linking feature points frame-by-frame, spatio-temporal data from time-lapse microscopy are combined together to construct a transformed 3D volume. The trajectories are then generated from the minimal energy path as defined by the solution of the time-dependent partial differential equation using a gray weighted distance transform dynamic programming method. Results from simulated and experimental data demonstrate that our novel automatic method gives sub-pixel accuracy even for very noisy images.
Keywords :
cellular biophysics; image reconstruction; medical image processing; optimisation; partial differential equations; particle track visualisation; spatiotemporal phenomena; automated tracking; fluorescent particles; frame-by-frame data; gray weighted distance transform dynamic programming method; image reconstruction; living cells; minimal path optimization; multiple particle tracking algorithm; noisy in vivo data; partial differential equation; spatio-temporal volume; subcellular stoichoimetry analysis; time-lapse microscopy; transformed 3D volume; Energy resolution; Fluorescence; In vivo; Joining processes; Microscopy; Monitoring; Particle tracking; Proteins; Signal to noise ratio; Transforms; energy function; fluorescence microscopy; gray weighted distance transform; particle tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193263
Filename :
5193263
Link To Document :
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