Automatic tracking of individual fluorescence particles: application to the study of chromosome dynamics

By Daniel Sage, F. R. Neumann, F. Hediger, S. Gasser, Michael A. Unser. IEEE Transactions on Image Processing, 2005

487 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Arabidopsis cortical microtubules position cellulose synthase delivery to the plasma membrane and interact with cellulose synthase trafficking compartments (2009, methodology): “Frame-to-frame velocities of objects were measured using the ImageJ SpotTracker plugi”
Objective comparison of particle tracking methods (2014, methodology): “METHOD 4: PARAMETERS The user parameters of this method (and typical values) are:  Number of iterations of convolution with the Gaussian kernel (10-500).”
Tracking in cell and developmental biology. (2009, methodology): “More sophisticated methods involve (in order of increasing performance [67]) wavelet multiscale products [68], Laplacian-of-Gaussian filtering [69], specialized algorithms from mathematical morphology [60], and machine-learning [70].”
TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines (2022, background): “However, until now, TrackMate detectors were solely based on the Laplacian of Gaussian (LoG) filter that is efficient against sub-resolved particles 9 or other blob-like objects, but performs poorly for textured objects, objects with complex shapes, and imaging modalities other than fluorescence.”