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.

Highlights

  • Automated microscopes and image acquisition systems enable experiments that can produce millions of images in a single experiment (Tanasugarn et al, 1984; Conrad and Gerlich, 2010; Shamir et al, 2010)

  • We describe here an open source and modular analysis workflow system, Anima (ANduril IMage Analysis), for development of comprehensive image processing and multivariate statistical analysis of image data

  • We show two case studies developed with the Anima workflow system

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Summary

Introduction

Automated microscopes and image acquisition systems enable experiments that can produce millions of images in a single experiment (Tanasugarn et al, 1984; Conrad and Gerlich, 2010; Shamir et al, 2010). Manual analysis of such vast amount of image data is impossible, and a wide array of computational methods is needed to translate raw data files into biological and medical knowledge (Eliceiri et al, 2012). Even though the role of data analysis workflow systems in genomics analysis has been recognized (Almeida, 2010), in the biological image analysis there are currently no image analysis focused integrated workflow systems available (Eliceiri et al, 2012)

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