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Ihor Smal
Researcher at Erasmus University Medical Center
Publications - 75
Citations - 5344
Ihor Smal is an academic researcher from Erasmus University Medical Center. The author has contributed to research in topics: Microtubule & Particle filter. The author has an hindex of 25, co-authored 70 publications receiving 4475 citations. Previous affiliations of Ihor Smal include Max Planck Society & Erasmus University Rotterdam.
Papers
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Book ChapterDOI
Methods for cell and particle tracking.
TL;DR: The latest developments in computerized image analysis are surveyed and the various computational approaches, software tools, and quantitative measures for tracking and motion analysis of cells and particles in time-lapse microscopy images are discussed.
Journal ArticleDOI
Objective comparison of particle tracking methods
Nicolas Chenouard,Ihor Smal,Fabrice de Chaumont,Martin Maška,Martin Maška,Ivo F. Sbalzarini,Yuanhao Gong,Janick Cardinale,Craig Carthel,Stefano Coraluppi,Mark R. Winter,Andrew R. Cohen,William J. Godinez,Karl Rohr,Yannis Kalaidzidis,Liang Liang,James S. Duncan,Hongying Shen,Yingke Xu,Klas E. G. Magnusson,Joakim Jalden,Helen M. Blau,Perrine Paul-Gilloteaux,Philippe Roudot,Charles Kervrann,François Waharte,Jean-Yves Tinevez,Spencer L. Shorte,Joost Willemse,Katherine Celler,Gilles P. van Wezel,Han-Wei Dan,Yuh-Show Tsai,Carlos Ortiz de Solórzano,Jean-Christophe Olivo-Marin,Erik Meijering +35 more
TL;DR: Although no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to notable practical conclusions for users and developers.
Journal ArticleDOI
An objective comparison of cell-tracking algorithms
Vladimír Ulman,Martin Maška,Klas E. G. Magnusson,Olaf Ronneberger,Carsten Haubold,Nathalie Harder,Pavel Matula,Petr Matula,David Svoboda,Miroslav Radojevic,Ihor Smal,Karl Rohr,Joakim Jalden,Helen M. Blau,Oleh Dzyubachyk,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt,Pengdong Xiao,Yuexiang Li,Siu-Yeung Cho,Alexandre Dufour,Jean-Christophe Olivo-Marin,Constantino Carlos Reyes-Aldasoro,Jose Alonso Solis-Lemus,Robert Bensch,Thomas Brox,Johannes Stegmaier,Ralf Mikut,Steffen Wolf,Fred A. Hamprecht,Tiago Esteves,Pedro Quelhas,Omer Burak Demirel,Lars Malmström,Florian Jug,Pavel Tomancak,Erik Meijering,Arrate Muñoz-Barrutia,Michal Kozubek,Carlos Ortiz-de-Solorzano +39 more
TL;DR: It is found that methods that either take prior information into account using learning strategies or analyze cells in a global spatiotemporal video context performed better than other methods under the segmentation and tracking scenarios included in the Cell Tracking Challenge.
Journal ArticleDOI
Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy
TL;DR: Seven unsupervised and two supervised detection methods based on the so-called h -dome transform from mathematical morphology or the multiscale variance-stabilizing transform perform comparably, and have the advantage that they do not require a cumbersome learning stage.
Journal ArticleDOI
Tracking in cell and developmental biology.
TL;DR: Covering all scales of microscopic observation, from cells, down to molecules, and up to entire organisms, it discusses the latest trends and successes in the development and application of computerized tracking methods in cell and developmental biology.