On the digital trail of mobile cells
By Christophe Zimmer, Bo Zhang, Alexandre Cecilien Dufour, Ayméric Thébaud, Sylvain Berlemont, Vannary Meas-Yedid, Jean-Christophe Olivo-Marin. 2006
118 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Biophysics, Cell Biology, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Biophysics
- Erik H. W. Meijering
- Carlos Ortiz-de-Solorzano
- Arrate Muñoz-Barrutia
- Jeroen Essers
- Wiro J. Niessen
- Wiggert A. van Cappellen
- Oleh Dzyubachyk
- Martin Maška
In Cell Biology
In Computer Vision and Pattern Recognition
- Erik H. W. Meijering
- Carlos Ortiz-de-Solorzano
- Arrate Muñoz-Barrutia
- Jeroen Essers
- David Svoboda
- Wiro J. Niessen
- Wiggert A. van Cappellen
- Oleh Dzyubachyk
Citations in the corpus
- A benchmark for comparison of cell tracking algorithms (2014, methodology): “After the ISBI 2013 workshop, the organizing committee confirmed the accuracy of the submitted results and compiled the final rankings presented in this article.”
- Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy (2010, methodology): “The second category of algorithms uses an integrated segmentation and tracking scheme, which, when combined with contour models, is often referred to as the model evolution approach [ 5 ].”
- An Objective Comparison of Cell Tracking Algorithms (2017, unknown): “7 and 9).”
- A batch algorithm using iterative application of the Viterbi algorithm to track cells and construct cell lineages (2012, background): “Now, the main bottleneck is instead analyzing the images once they have been acquired [1].”
- Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan–Vese Model (2013, background): “U NDERSTANDING the mechanisms of cell motility and their regulation is an important challenge in biomedical research [1].”
- Tracking in cell and developmental biology. (2009, background): “Power spectrum analysis of size changes over time have revealed the presence of regularities (periodicities hinting at underlying biochemical clocks) in the membrane deformation of crawling amoebae that were not obvious from visual inspection [25].”