David Legland1,2,3, Ignacio Arganda-Carreras2,4,5,6, Philippe Andrey2,7. 1. UR1268 Biopolymers, Interactions and Assemblies, INRA, Nantes, France. 2. Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay, Versailles, Cedex, RD10, 78026, France. 3. UMR782 Food Process Engineering and Microbiology, INRA, AgroParisTech, Thiverval-Grignon, France. 4. Basque Foundation for Science, Ikerbasque, Bilbao, 48013, Spain. 5. Computer Science and Artificial Intelligence Department, Basque Country University (UPV/EHU), Donostia-San Sebastian, 20018, Spain. 6. Donostia International Physics Center (DIPC), Donostia-San Sebastian, 20018, Spain. 7. Sorbonne Universités, UPMC Univ Paris 06, UFR 927, Paris, France.
Abstract
MOTIVATION: Mathematical morphology (MM) provides many powerful operators for processing 2D and 3D images. However, most MM plugins currently implemented for the popular ImageJ/Fiji platform are limited to the processing of 2D images. RESULTS: 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. We illustrate how MorphoLibJ can facilitate the exploitation of 3D images of plant tissues. AVAILABILITY AND IMPLEMENTATION: MorphoLibJ is freely available at http://imagej.net/MorphoLibJ CONTACT: david.legland@nantes.inra.frSupplementary information: Supplementary data are available at Bioinformatics online.
MOTIVATION: Mathematical morphology (MM) provides many powerful operators for processing 2D and 3D images. However, most MM plugins currently implemented for the popular ImageJ/Fiji platform are limited to the processing of 2D images. RESULTS: 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. We illustrate how MorphoLibJ can facilitate the exploitation of 3D images of plant tissues. AVAILABILITY AND IMPLEMENTATION: MorphoLibJ is freely available at http://imagej.net/MorphoLibJ CONTACT: david.legland@nantes.inra.frSupplementary information: Supplementary data are available at Bioinformatics online.
Authors: Thomas A Forbes; Sara E Howden; Kynan Lawlor; Belinda Phipson; Jovana Maksimovic; Lorna Hale; Sean Wilson; Catherine Quinlan; Gladys Ho; Katherine Holman; Bruce Bennetts; Joanna Crawford; Peter Trnka; Alicia Oshlack; Chirag Patel; Andrew Mallett; Cas Simons; Melissa H Little Journal: Am J Hum Genet Date: 2018-04-26 Impact factor: 11.025
Authors: Diana A Stavreva; David A Garcia; Gregory Fettweis; Prabhakar R Gudla; George F Zaki; Vikas Soni; Andrew McGowan; Geneva Williams; Anh Huynh; Murali Palangat; R Louis Schiltz; Thomas A Johnson; Diego M Presman; Matthew L Ferguson; Gianluca Pegoraro; Arpita Upadhyaya; Gordon L Hager Journal: Mol Cell Date: 2019-08-14 Impact factor: 17.970
Authors: Simone Mayer; Jiadong Chen; Dmitry Velmeshev; Andreas Mayer; Ugomma C Eze; Aparna Bhaduri; Carlos E Cunha; Diane Jung; Arpana Arjun; Emmy Li; Beatriz Alvarado; Shaohui Wang; Nils Lovegren; Michael L Gonzales; Lukasz Szpankowski; Anne Leyrat; Jay A A West; Georgia Panagiotakos; Arturo Alvarez-Buylla; Mercedes F Paredes; Tomasz J Nowakowski; Alex A Pollen; Arnold R Kriegstein Journal: Neuron Date: 2019-02-12 Impact factor: 17.173
Authors: S D Keyes; L Cooper; S Duncan; N Koebernick; D M McKay Fletcher; C P Scotson; A van Veelen; I Sinclair; T Roose Journal: J R Soc Interface Date: 2017-11 Impact factor: 4.118
Authors: Lisi Flores-Aguilar; M Florencia Iulita; Olivia Kovecses; Maria D Torres; Sarah M Levi; Yian Zhang; Manor Askenazi; Thomas Wisniewski; Jorge Busciglio; A Claudio Cuello Journal: Brain Date: 2020-12-01 Impact factor: 13.501