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» Bayesian tracking for fluorescence microscopic imaging
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ISBI
2006
IEEE
14 years 6 months ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
MICCAI
2005
Springer
13 years 10 months ago
Adaptive Spatio-Temporal Restoration for 4D Fluorescence Microscopic Imaging
Abstract. We present a spatio-temporal filtering method for significantly increasing the signal-to-noise ratio (SNR) in noisy fluorescence microscopic image sequences where smal...
Jérôme Boulanger, Charles Kervrann, P...
IPMI
2007
Springer
14 years 6 months ago
Rao-Blackwellized Marginal Particle Filtering for Multiple Object Tracking in Molecular Bioimaging
Modern live cell fluorescence microscopy imaging systems, used abundantly for studying intra-cellular processes in vivo, generate vast amounts of noisy image data that cannot be pr...
Ihor Smal, Katharina Draegestein, Niels Galjart, W...
ISBI
2007
IEEE
13 years 11 months ago
Advanced Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images
Quantitative analysis of dynamical processes in living cells by means of fluorescence microscopy imaging requires tracking of hundreds of bright spots in noisy image sequences. D...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
ISBI
2008
IEEE
14 years 6 months ago
Tracking displacements of intracellular organelles in response to nanomechanical forces
The living cell is under constant influence of mechanical forces from its environment. These forces affect many aspects of the cell's behaviour, including morphology, growth,...
Yaron R. Silberberg, Andrew E. Pelling, Gleb E. Ya...