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Stephan Preibisch
Researcher at Max Delbrück Center for Molecular Medicine
Publications - 71
Citations - 50023
Stephan Preibisch is an academic researcher from Max Delbrück Center for Molecular Medicine. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 25, co-authored 59 publications receiving 36057 citations. Previous affiliations of Stephan Preibisch include Leipzig University & Albert Einstein College of Medicine.
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Journal ArticleDOI
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin,Ignacio Arganda-Carreras,Erwin Frise,Verena Kaynig,Mark Longair,Tobias Pietzsch,Stephan Preibisch,Curtis Rueden,Stephan Saalfeld,Benjamin Schmid,Jean-Yves Tinevez,Daniel J. White,Volker Hartenstein,Kevin W. Eliceiri,Pavel Tomancak,Albert Cardona +15 more
TL;DR: Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis that facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system.
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Globally optimal stitching of tiled 3D microscopic image acquisitions
TL;DR: This work developed a method that, based on the Fourier Shift Theorem, computes all possible translations between pairs of 3D images, yielding the best overlap in terms of the cross-correlation measure and subsequently finds the globally optimal configuration of the whole group of3D images.
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TrakEM2 software for neural circuit reconstruction
Albert Cardona,Stephan Saalfeld,Johannes Schindelin,Ignacio Arganda-Carreras,Stephan Preibisch,Mark Longair,Pavel Tomancak,Volker Hartenstein,Rodney J. Douglas +8 more
TL;DR: A software application, TrakEM2, is designed that addresses the systematic reconstruction of neuronal circuits from large electron microscopical and optical image volumes and addresses the challenges of image volume composition from individual, deformed images.
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Gene expression divergence recapitulates the developmental hourglass model
Alex T. Kalinka,Karolina M. Varga,Karolina M. Varga,Dave T. Gerrard,Stephan Preibisch,David L. Corcoran,Julia Jarrells,Uwe Ohler,Casey M. Bergman,Pavel Tomancak +9 more
TL;DR: It is shown that at each time point more than 80% of genes fit best to models incorporating stabilizing selection, and that for genes whose evolutionarily optimal expression level is the same across all species, selective constraint is maximized during the phylotypic period.
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An integrated micro- and macroarchitectural analysis of the Drosophila brain by computer-assisted serial section electron microscopy.
Albert Cardona,Stephan Saalfeld,Stephan Preibisch,Benjamin Schmid,Anchi Cheng,J. Pulokas,Pavel Tomancak,Volker Hartenstein +7 more
TL;DR: This study applies the software package TrakEM2 to reconstruct neuronal microcircuitry from TEM sections of a small brain, the early larval brain of Drosophila melanogaster, and describes the network motifs most frequently encountered in the Drosophile neuropile.