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Ignacio Arganda-Carreras

Researcher at Donostia International Physics Center

Publications -  79
Citations -  51868

Ignacio Arganda-Carreras is an academic researcher from Donostia International Physics Center. The author has contributed to research in topics: Image segmentation & Computer science. The author has an hindex of 22, co-authored 78 publications receiving 36911 citations. Previous affiliations of Ignacio Arganda-Carreras include Agro ParisTech & Institut national de la recherche agronomique.

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Fiji: an open-source platform for biological-image analysis

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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BoneJ: Free and extensible bone image analysis in ImageJ.

TL;DR: This work implemented standard bone measurements in a novel ImageJ plugin, BoneJ, with which it analysed trabecular bone, whole bones and osteocyte lacunae and found that available software solutions were expensive, inflexible or methodologically opaque.
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Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.

TL;DR: The Trainable Weka Segmentation (TWS), a machine learning tool that leverages a limited number of manual annotations in order to train a classifier and segment the remaining data automatically, is introduced.
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TrakEM2 software for neural circuit reconstruction

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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MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ.

TL;DR: The MorphoLibJ library proposes a large collection of generic tools based on MM to process binary and grey-level 2D and 3D images, integrated into user-friendly plugins.