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Mark-Anthony Bray

dblp:47/9445 · DBLP profile ↗
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6ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0002-9748-3592ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 5 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › bioimage informatics
bioimage analysis
0.112011
Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software · Bioinform. 2011
Bioinformatics and computational biology › bioimage informatics
high-throughput image analysis
0.112011
Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software · Bioinform. 2011
Visualization and visual analytics › interactive data exploration › visual exploration
visual parameter space analysis
0.112011
Visualization of Parameter Space for Image Analysis · IEEE Trans. Vis. Comput. Graph. 2011
Bioinformatics and computational biology › bioimage informatics
cellular image analysis
0.012011
Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software · Bioinform. 2011
Visualization and visual analytics
interactive data exploration
0.012011
Visualization of Parameter Space for Image Analysis · IEEE Trans. Vis. Comput. Graph. 2011

Methods — techniques the papers use, named apart from their topics

emulation-based design · 0.4parameter sampling · 0.1modular pipeline · 0.1interactive visualization · 0.1
YearPublicationVenuePosition
2015 Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics
Assaf Arbelle, N. Drayman, Mark-Anthony Bray, Uri Alon 0001, Anne E. Carpenter, Tammy Riklin-Raviv
MICCAI (3)3
2015 CellProfiler Tracer: exploring and validating high-throughput, time-lapse microscopy image data
abstract
BACKGROUND: Time-lapse analysis of cellular images is an important and growing need in biology. Algorithms for cell tracking are widely available; what researchers have been missing is a single open-source software package to visualize standard tracking output (from software like CellProfiler) in a way that allows convenient assessment of track quality, especially for researchers tuning tracking parameters for high-content time-lapse experiments. This makes quality assessment and algorithm adjustment a substantial challenge, particularly when dealing with hundreds of time-lapse movies collected in a high-throughput manner. RESULTS: We present CellProfiler Tracer, a free and open-source tool that complements the object tracking functionality of the CellProfiler biological image analysis package. Tracer allows multi-parametric morphological data to be visualized on object tracks, providing visualizations that have already been validated within the scientific community for time-lapse experiments, and combining them with simple graph-based measures for highlighting possible tracking artifacts. CONCLUSIONS: CellProfiler Tracer is a useful, free tool for inspection and quality control of object tracking data, available from http://www.cellprofiler.org/tracer/.
Mark-Anthony Bray, Anne E. Carpenter
BMC Bioinform.1
2014 ProtocolNavigator: emulation-based software for the design, documentation and reproduction biological experiments
abstract
MOTIVATION: Experimental reproducibility is fundamental to the progress of science. Irreproducible research decreases the efficiency of basic biological research and drug discovery and impedes experimental data reuse. A major contributing factor to irreproducibility is difficulty in interpreting complex experimental methodologies and designs from written text and in assessing variations among different experiments. Current bioinformatics initiatives either are focused on computational research reproducibility (i.e. data analysis) or laboratory information management systems. Here, we present a software tool, ProtocolNavigator, which addresses the largely overlooked challenges of interpretation and assessment. It provides a biologist-friendly open-source emulation-based tool for designing, documenting and reproducing biological experiments. AVAILABILITY AND IMPLEMENTATION: ProtocolNavigator was implemented in Python 2.7, using the wx module to build the graphical user interface. It is a platform-independent software and freely available from http://protocolnavigator.org/index.html under the GPL v2 license.
Imtiaz A. Khan, Adam Fraser, Mark-Anthony Bray, Paul J. Smith, Nick S. White, Anne E. Carpenter, Rachel J. Errington
Bioinform.3
2011 Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software
abstract
UNLABELLED: There is a strong and growing need in the biology research community for accurate, automated image analysis. Here, we describe CellProfiler 2.0, which has been engineered to meet the needs of its growing user base. It is more robust and user friendly, with new algorithms and features to facilitate high-throughput work. ImageJ plugins can now be run within a CellProfiler pipeline. AVAILABILITY AND IMPLEMENTATION: CellProfiler 2.0 is free and open source, available at http://www.cellprofiler.org under the GPL v. 2 license. It is available as a packaged application for Macintosh OS X and Microsoft Windows and can be compiled for Linux. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Lee Kamentsky, Thouis R. Jones, Adam Fraser, Mark-Anthony Bray, David J. Logan, Katherine L. Madden, Vebjorn Ljosa, Curtis Rueden, Kevin W. Eliceiri, Anne E. Carpenter
Bioinform.4
2011 Self-Organization of Muscle Cell Structure and Function
abstract
The organization of muscle is the product of functional adaptation over several length scales spanning from the sarcomere to the muscle bundle. One possible strategy for solving this multiscale coupling problem is to physically constrain the muscle cells in microenvironments that potentiate the organization of their intracellular space. We hypothesized that boundary conditions in the extracellular space potentiate the organization of cytoskeletal scaffolds for directed sarcomeregenesis. We developed a quantitative model of how the cytoskeleton of neonatal rat ventricular myocytes organizes with respect to geometric cues in the extracellular matrix. Numerical results and in vitro assays to control myocyte shape indicated that distinct cytoskeletal architectures arise from two temporally-ordered, organizational processes: the interaction between actin fibers, premyofibrils and focal adhesions, as well as cooperative alignment and parallel bundling of nascent myofibrils. Our results suggest that a hierarchy of mechanisms regulate the self-organization of the contractile cytoskeleton and that a positive feedback loop is responsible for initiating the break in symmetry, potentiated by extracellular boundary conditions, is required to polarize the contractile cytoskeleton.
Anna Grosberg, Po-Ling Kuo, Chin-Lin Guo, Nicholas A. Geisse, Mark-Anthony Bray, William J. Adams, Sean P. Sheehy, Kevin Kit Parker
PLoS Comput. Biol.5
2011 Visualization of Parameter Space for Image Analysis
abstract
Image analysis algorithms are often highly parameterized and much human input is needed to optimize parameter settings. This incurs a time cost of up to several days. We analyze and characterize the conventional parameter optimization process for image analysis and formulate user requirements. With this as input, we propose a change in paradigm by optimizing parameters based on parameter sampling and interactive visual exploration. To save time and reduce memory load, users are only involved in the first step--initialization of sampling--and the last step--visual analysis of output. This helps users to more thoroughly explore the parameter space and produce higher quality results. We describe a custom sampling plug-in we developed for CellProfiler--a popular biomedical image analysis framework. Our main focus is the development of an interactive visualization technique that enables users to analyze the relationships between sampled input parameters and corresponding output. We implemented this in a prototype called Paramorama. It provides users with a visual overview of parameters and their sampled values. User-defined areas of interest are presented in a structured way that includes image-based output and a novel layout algorithm. To find optimal parameter settings, users can tag high- and low-quality results to refine their search. We include two case studies to illustrate the utility of this approach.
A. Johannes Pretorius, Mark-Anthony Bray, Anne E. Carpenter, Roy A. Ruddle
IEEE Trans. Vis. Comput. Graph.2