NucleusJ: an ImageJ plugin for quantifying 3D images of interphase nuclei

NucleusJ: an ImageJ plugin for quantifying 3D images of interphase nuclei.

Axel Poulet (1) , Ignacio Arganda-Carreras (2) , David Legland (2) , Aline V. Probst (1) , Philippe Andrey (2) , Christophe Tatout (1)

1 GReD - Génétique, Reproduction et Développement
2 IJPB - Institut Jean-Pierre Bourgin

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.

Domaines: Bio-informatique [q-bio.QM]; Génétique des plantes

Axel Poulet, Ignacio Arganda-Carreras, David Legland, Aline V. Probst, Philippe Andrey, et al.. NucleusJ: an ImageJ plugin for quantifying 3D images of interphase nuclei. Bioinformatics, 2015, 31 (7), pp.1144 - 1146. ⟨10.1093/bioinformatics/btu774⟩. ⟨hal-01920000⟩