Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0.
Tristan DubosAxel PouletCéline Gonthier-GueretGuillaume MougeotChristophe TatoutYanru LiSylvie TutoisEmilie PeryFrédéric ChausseAline V ProbstChristophe TatoutSophie DessetPublished in: Nucleus (Austin, Tex.) (2021)
NucleusJ 1.0, an ImageJ plugin, is a useful tool to analyze nuclear morphology and chromatin organization in plant and animal cells. NucleusJ 2.0 is a new release of NucleusJ, in which image processing is achieved more quickly using a command-lineuser interface. Starting with large collection of 3D nuclei, segmentation can be performed by the previously developed Otsu-modified method or by a new 3D gift-wrapping method, taking better account of nuclear indentations and unstained nucleoli. These two complementary methods are compared for their accuracy by using three types of datasets available to the community at https://www.brookes.ac.uk/indepth/images/ . Finally, NucleusJ 2.0 was evaluated using original plant genetic material by assessing its efficiency on nuclei stained with DNA dyes or after 3D-DNA Fluorescence in situ 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.
Keyphrases
- deep learning
- neural network
- single molecule
- convolutional neural network
- circulating tumor
- induced apoptosis
- cell free
- genome wide
- healthcare
- gene expression
- high resolution
- dna damage
- cell cycle arrest
- transcription factor
- rna seq
- dna methylation
- high throughput
- cross sectional
- nucleic acid
- high speed
- data analysis
- mass spectrometry
- pi k akt
- cell wall
- aqueous solution