ArticleFrontiers in bioengineering and biotechnology2014
Anima: modular workflow system for comprehensive image data analysis.
Article in Frontiers in bioengineering and biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- FGFR4 phosphorylates MST1 to confer breast cancer cells resistance to MST1/2-dependent apoptosis.Cell death and differentiation · 2019Article
- Simple 3D culture of dissociated kidney mesenchyme mimics nephron progenitor niche and facilitates nephrogenesis Wnt-independently.Scientific reports · 2019Article
- PROX1 is a transcriptional regulator of MMP14.Scientific reports · 2018Article
- Motility of glioblastoma cells is driven by netrin-1 induced gain of stemness.Journal of experimental & clinical cancer research : CR · 2017Article
- The Networks of Genes Encoding Palmitoylated Proteins in Axonal and Synaptic Compartments Are Affected in PPT1 Overexpressing Neuronal-Like Cells.Frontiers in molecular neuroscience · 2017Article
- SePIA: RNA and small RNA sequence processing, integration, and analysis.BioData mining · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Modern microscopes produce vast amounts of image data, and computational methods are needed to analyze and interpret these data. Furthermore, a single image analysis project may require tens or hundreds of analysis steps starting from data import and pre-processing to segmentation and statistical analysis; and ending with visualization and reporting. To manage such large-scale image data analysis projects, we present here a modular workflow system called Anima. Anima is designed for comprehensive and efficient image data analysis development, and it contains several features that are crucial in high-throughput image data analysis: programing language independence, batch processing, easily customized data processing, interoperability with other software via application programing interfaces, and advanced multivariate statistical analysis. The utility of Anima is shown with two case studies focusing on testing different algorithms developed in different imaging platforms and an automated prediction of alive/dead C. elegans worms by integrating several analysis environments. Anima is a fully open source and available with documentation at www.anduril.org/anima.
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