Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0
Tristan Dubos, Axel Poulet, Céline Gonthier‐Guéret, G Mougeot, Emmanuel Vanrobays, Yanru Li, Sylvie Tutois, Emilie Péry, Frédéric Chausse, Aline V. Probst, Christophe Tatout, Sophie Desset
Abstract
hybridization. With these improvements, NucleusJ 2.0 permits the generation of large user-curated datasets that will be useful for software benchmarking or to train convolution neural networks.
Topics & Concepts
Computer scienceChromatinBenchmarkingConvolutional neural networkSoftwarePlug-inNucleolusGraphical user interfaceArtificial intelligenceSegmentationPattern recognition (psychology)Computational biologyData miningDNABiologyNucleusCell biologyGeneticsProgramming languageMarketingBusinessCell Image Analysis TechniquesGenomics and Chromatin DynamicsChromosomal and Genetic Variations