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Ivo F. Sbalzarini
Researcher at Max Planck Society
Publications - 190
Citations - 6525
Ivo F. Sbalzarini is an academic researcher from Max Planck Society. The author has contributed to research in topics: Computer science & Image segmentation. The author has an hindex of 37, co-authored 159 publications receiving 5591 citations. Previous affiliations of Ivo F. Sbalzarini include ETH Zurich & Swiss Institute of Bioinformatics.
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Journal ArticleDOI
Feature point tracking and trajectory analysis for video imaging in cell biology
TL;DR: A computationally efficient, two-dimensional, feature point tracking algorithm for the automated detection and quantitative analysis of particle trajectories as recorded by video imaging in cell biology.
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.
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Single-particle tracking of murine polyoma virus-like particles on live cells and artificial membranes.
TL;DR: The results suggested that clustering of ganglioside molecules by the multivalent VLPs induced transmembrane coupling that led to confinement of the virus/receptor complex by cortical actin filaments.
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Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh.
Aurélien Rizk,Gregory Paul,Pietro Incardona,Milica Bugarski,Maysam Mansouri,Axel Niemann,Urs Ziegler,Philipp Berger,Ivo F. Sbalzarini +8 more
TL;DR: A versatile protocol for a method named 'Squassh' (segmentation and quantification of subcellular shapes), which is used for detecting, delineating and quantifyingSubcellular structures in fluorescence microscopy images, implemented in freely available, user-friendly software.
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PPM: a highly efficient parallel particle-mesh library for the simulation of continuum systems
Ivo F. Sbalzarini,Jens Honore Walther,Michael Bergdorf,Simone E. Hieber,E. M. Kotsalis,Petros Koumoutsakos +5 more
TL;DR: The present library enables large scale simulations of diverse physical problems using adaptive particle methods and provides a computational tool that is a viable alternative to mesh-based methods.