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William J. Godinez
Researcher at Novartis
Publications - 49
Citations - 2173
William J. Godinez is an academic researcher from Novartis. The author has contributed to research in topics: Tracking (particle physics) & Particle filter. The author has an hindex of 18, co-authored 47 publications receiving 1861 citations. Previous affiliations of William J. Godinez include Heidelberg University & Max Planck Society.
Papers
More filters
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
Dynamics of HIV-1 assembly and release.
Sergey Ivanchenko,William J. Godinez,Marko Lampe,Hans-Georg Kräusslich,Roland Eils,Karl Rohr,Christoph Bräuchle,Barbara Müller,Don C. Lamb,Don C. Lamb +9 more
TL;DR: Investigation of the assembly and release of fluorescently labeled HIV-1 at the plasma membrane of living cells with high time resolution determined that assembly was nucleated preferentially by Gag molecules that had recently attached to the plasma membranes or arrived directly from the cytosol.
Journal ArticleDOI
A multi-scale convolutional neural network for phenotyping high-content cellular images
TL;DR: An approach based on a multi‐scale convolutional neural network that classifies, in a single cohesive step, cellular images into phenotypes by using directly and solely the images’ pixel intensity values to quantitatively describe the phenotypes is presented.
Journal ArticleDOI
Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequences
TL;DR: It turns out that the probabilistic approaches for multiple virus tracking in multi-channel fluorescence microscopy images are superior to the deterministic schemes as well as to the approaches based on a mixture of particle filters.
Journal ArticleDOI
Clathrin-adaptor ratio and membrane tension regulate the flat-to-curved transition of the clathrin coat during endocytosis.
Delia Bucher,Felix J. Frey,Kem A. Sochacki,Susann Kummer,Jan-Philip Bergeest,William J. Godinez,William J. Godinez,Hans-Georg Kräusslich,Karl Rohr,Karl Rohr,Justin W. Taraska,Ulrich S. Schwarz,Steeve Boulant,Steeve Boulant +13 more
TL;DR: The results support the notion that BSC-1 mammalian cells dynamically regulate the flat-to-curved transition in clathrin-mediated endocytosis by both biochemical and mechanical factors.