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EBImage—an R package for image processing with applications to cellular phenotypes

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TLDR
EBImage provides general purpose functionality for reading, writing, processing and analysis of images and in the context of microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors.
Abstract
Summary: EBImage provides general purpose functionality for reading, writing, processing and analysis of images. Furthermore, in the context of microscopy-based cellular assays, EBImage offers tools to segment cells and extract quantitative cellular descriptors. This allows the automation of such tasks using the R programming language and use of existing tools in the R environment for signal processing, statistical modeling, machine learning and data visualization. Availability: EBImage is free and open source, released under the LGPL license and available from the Bioconductor project (http://www.bioconductor.org/packages/release/bioc/html/EBImage.html). Contact: gregoire.pau/at/ebi.ac.uk

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Finding the sources of missing heritability in a yeast cross

TL;DR: A large cross between two yeast strains is used to accurately estimate different sources of heritable variation for 46 quantitative traits, and to detect underlying loci with high statistical power, and it is found that the detected loci explain nearly the entire additive contribution to heritability for the traits studied.
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Directional tissue migration through a self-generated chemokine gradient

TL;DR: The in vivo dynamics of one key guidance molecule, the chemokine Cxcl12a, are defined by applying a fluorescent timer approach to measure ligand-triggered receptor turnover in living animals and this study provides the first in vivo proof for self-directed tissue migration through local shaping of an extracellular cue.
Journal ArticleDOI

Software tools for automated transmission electron microscopy

TL;DR: A combination of software tools that enable automated acquisition guided by image analysis for a variety of transmission electron microscopy acquisition schemes, Py-EM and SerialEM, which enable automated microscope control for high-throughput data acquisition in diverse transmission electron microscopeopy imaging experiments.
References
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Journal ArticleDOI

CellProfiler: image analysis software for identifying and quantifying cell phenotypes

TL;DR: The first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler is described, which can address a variety of biological questions quantitatively.
Journal ArticleDOI

A functional genomic analysis of cell morphology using RNA interference

TL;DR: Using RNAi, genes that influence cytoskeletal organization and morphology in two distinct cell types are identified and proposed to propose similar functions for previously uncharacterized genes.
Journal ArticleDOI

High-throughput RNAi screening by time-lapse imaging of live human cells.

TL;DR: This work has developed an automated platform for high-content RNAi screening by time-lapse fluorescence microscopy of live HeLa cells expressing histone-GFP to report on chromosome segregation and structure and validated this method in a pilot screen assaying cell division.
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