Axel Poulet1, Ignacio Arganda-Carreras1, David Legland2, Aline V Probst1, Philippe Andrey2, Christophe Tatout1. 1. UMR CNRS 6293 INSERM U 1103, GRED, Clermont Université, Aubière, France, UMR INRA-AgroParisTech 1318 ERL CNRS 3559, IJPB, Versailles, France, UMR INRA-AgroParisTech 782, Food Process Engineering and Microbiology, Thiverval-Grignon, France and Sorbonne Universités, UPMC Univ Paris 06 UFR 927, Paris, France. 2. UMR CNRS 6293 INSERM U 1103, GRED, Clermont Université, Aubière, France, UMR INRA-AgroParisTech 1318 ERL CNRS 3559, IJPB, Versailles, France, UMR INRA-AgroParisTech 782, Food Process Engineering and Microbiology, Thiverval-Grignon, France and Sorbonne Universités, UPMC Univ Paris 06 UFR 927, Paris, France UMR CNRS 6293 INSERM U 1103, GRED, Clermont Université, Aubière, France, UMR INRA-AgroParisTech 1318 ERL CNRS 3559, IJPB, Versailles, France, UMR INRA-AgroParisTech 782, Food Process Engineering and Microbiology, Thiverval-Grignon, France and Sorbonne Universités, UPMC Univ Paris 06 UFR 927, Paris, France.
Abstract
UNLABELLED: NucleusJ is a simple and user-friendly ImageJ plugin dedicated to the characterization of nuclear morphology and chromatin organization in 3D. Starting from image stacks, the nuclear boundary is delimited by combining the Otsu segmentation method with optimization of nuclear sphericity. Chromatin domains are segmented by partitioning the nucleus using a 3D watershed algorithm and by thresholding a contrast measure over the resulting regions. As output, NucleusJ quantifies 15 parameters including shape and size of nuclei as well as intra-nuclear objects and their position within the nucleus. A step-by-step documentation is available for self-training, together with data sets of nuclei with different nuclear organization. AVAILABILITY AND IMPLEMENTATION: Dataset of nuclei is available at https://www.gred-clermont.fr/media/WorkDirectory.zip. NucleusJ is available at http://imagejdocu.tudor.lu/doku.php?id=plugin:stacks:nuclear_analysis_plugin:start. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
UNLABELLED: NucleusJ is a simple and user-friendly ImageJ plugin dedicated to the characterization of nuclear morphology and chromatin organization in 3D. Starting from image stacks, the nuclear boundary is delimited by combining the Otsu segmentation method with optimization of nuclear sphericity. Chromatin domains are segmented by partitioning the nucleus using a 3D watershed algorithm and by thresholding a contrast measure over the resulting regions. As output, NucleusJ quantifies 15 parameters including shape and size of nuclei as well as intra-nuclear objects and their position within the nucleus. A step-by-step documentation is available for self-training, together with data sets of nuclei with different nuclear organization. AVAILABILITY AND IMPLEMENTATION: Dataset of nuclei is available at https://www.gred-clermont.fr/media/WorkDirectory.zip. NucleusJ is available at http://imagejdocu.tudor.lu/doku.php?id=plugin:stacks:nuclear_analysis_plugin:start. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Authors: Philipp Mergenthaler; Santosh Hariharan; James M Pemberton; Corey Lourenco; Linda Z Penn; David W Andrews Journal: PLoS Comput Biol Date: 2021-02-22 Impact factor: 4.475
Authors: Tatiana Tiago; Barbara Hummel; Federica F Morelli; Valentina Basile; Jonathan Vinet; Veronica Galli; Laura Mediani; Francesco Antoniani; Silvia Pomella; Matteo Cassandri; Maria Giovanna Garone; Beatrice Silvestri; Marco Cimino; Giovanna Cenacchi; Roberta Costa; Vincent Mouly; Ina Poser; Esti Yeger-Lotem; Alessandro Rosa; Simon Alberti; Rossella Rota; Anat Ben-Zvi; Ritwick Sawarkar; Serena Carra Journal: Cell Death Dis Date: 2021-05-06 Impact factor: 8.469