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Search Publications by: John T. Elliott (Fed)

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Displaying 26 - 50 of 76

Design, sensitivity analysis, and testing of a Caenorhabditis elegans nanoecotoxicity assay

August 11, 2016
Author(s)
Shannon Hanna, Gregory A. Cooksey, Bryant C. Nelson, John T. Elliott, Elijah J. Petersen
Increasing production and usage of engineered nanomaterials (ENMs) has generated widespread interest in measuring their environmental and human health effects. However, the lack of standardized methods for these measurements has often led to contradictory

Strategies for Achieving Measurement Assurance for Cell Therapy Products

June 1, 2016
Author(s)
Carl G. Simon Jr., Anne L. Plant, Sumona Sarkar, John T. Elliott, Sheng Lin-Gibson
Cell therapy products (CTPs) need quantitative, validated, and robust assays to support informed decision making during their development, manufacturing, and regulation. These products, the materials involved in their production and the methods for

Large-scale Time-lapse Microscopy of Oct4 Expression in Human Embryonic Stem Cell Colonies

May 22, 2016
Author(s)
Kiran Bhadriraju, Michael Halter, Julien M. Amelot, Peter Bajcsy, Joe Chalfoun, Antoine Vandecreme, Barbara Mallon, Kye-yoon Park, John T. Elliott, Subhash Sista, Anne L. Plant
Identification of critical characteristics of therapeutically active cells, and quantification of those characteristics, are essential for assuring consistency and potency of cell therapy products. We have developed image analysis and visualization

Strategy for extensible, evolving terminology for the Materials Genome Initiative efforts

July 1, 2015
Author(s)
Talapady N. Bhat, Ursula R. Kattner, Laura Bartolo, Carelyn E. Campbell, John T. Elliott
Intuitive, flexible, and evolving terminology plays a significant role in capitalizing on recommended knowledge representation models for material engineering applications. In this article we present a proposed rules-based approach with initial examples

The Use of Cause-and-Effect Analysis to Design a High Quality Nano-Cyto-Toxicology Assay

December 4, 2014
Author(s)
Matthias Rosslein, John T. Elliott, Marc L. Salit, Elijah Petersen, Cordula Hirsch, Harald Krug, Peter Wick
An important consideration in developing standards and regulations that govern the production and use of commercial nanoscale materials is the development of robust and reliable measurements to assess potential biological effects of these nanomaterials

Performance Benchmarking and Intensity Calibration of a Widefield Fluorescence Microscope Using Fluorescent Glass

August 11, 2014
Author(s)
Michael W. Halter, Elianna Bier, Paul C. DeRose, Gregory A. Cooksey, Steven J. Choquette, Anne L. Plant, John T. Elliott
Widefield fluorescence microscopy is a highly used tool for visually assessing biological samples and for quantifying cell responses. Despite its widespread use in high content analysis and other screening applications, few published methods exist for

Highly Stable Positively Charged Dendron-Encapsulated Gold Nanoparticles

March 13, 2014
Author(s)
Tae Joon Cho, Robert I. MacCuspie, Julien C. Gigault, Justin M. Gorham, John T. Elliott, Vincent A. Hackley
We report the development of a novel cationic dendron (TAG1-PCD) and a positively charged gold nanoparticle-dendron conjugate (PCD-AuNP). TAG1-PCD was designed by considering the reactivity, hydrophilicity, and cationic nature that is required to yield a

Testing Equality of Cell Populations Based on Shape and Geodesic Distance

December 3, 2013
Author(s)
Robert C. Hagwood, Javier Bernal, Michael W. Halter, John T. Elliott
Image cytometry has emerged as a valuable in-vitro screening tool and advances in automated microscopy have made it possible to readily analyze large cellular populations of image data. A statistical procedure to study homogeneity of such data is addressed

Measurement Uncertainty in Cell Image Segmentation Data Analysis

August 13, 2013
Author(s)
Jin Chu Wu, Michael W. Halter, Raghu N. Kacker, John T. Elliott, Anne L. Plant
Cell image segmentation is a part of quantitative studies regarding cell movement and cell behavior, and it plays a critical role in molecular biology and cellular biochemistry. Therefore, it is fundamentally important to evaluate the performance levels of

NIST Gold Nanoparticle Reference Materials Do Not Induce Oxidative DNA Damage

February 1, 2013
Author(s)
Bryant C. Nelson, Donald H. Atha, John T. Elliott, Bryce J. Marquis, Elijah J. Petersen, Danielle Cleveland, Stephanie S. Watson, I-Hsiang Tseng, Andrew Dillon, Melissa Theodore, Joany Jackman
Well-characterized, nanoparticle reference materials are urgently needed for nanomaterial toxicity studies. The National Institute of Standards and Technology has developed three gold nanoparticle (AuNP) reference materials (10 nm, 30 nm, 60 nm) to address

Quantitative Methods to Characterize Cell Lines: Comparison of Cells from Marine and Terrestrial Mammals.

July 28, 2012
Author(s)
Tighe Spurlin, John T. Elliott, Michael W. Halter, Kiran Bhadriraju, Alessandro Tona, Anne L. Plant, Annalaura Mancia, Bobby L. Middlebrooks, Gregory W. Warr
Descriptive terms are often used to characterize cells in culture, but the use of nonquantitative and poorly defined terms can lead to ambiguities when comparing data from different laboratories. Although recently there has been a good deal of interest in

A New Measure in Cell Image Segmentation Data Analysis

July 24, 2012
Author(s)
Jin Chu Wu, Michael W. Halter, Raghu N. Kacker, John T. Elliott
Cell image segmentation (CIS) is critical for quantitative imaging in cytometric analyses. The data derived after segmentation can be used to infer cellular function. To evaluate CIS algorithms, first for dealing with comparisons of single cells treated as

Evaluation of Segmentation Algorithms on Cell Populations Using CDF Curves

February 24, 2012
Author(s)
Robert C. Hagwood, Javier Bernal, Michael W. Halter, John T. Elliott
Cell segmentation is a critical step in the analysis pipeline for most imaging cytometry experiments and the segmentation algorithm can effect the quantitative data derived from image analysis. Methods to evaluate segmentation algorithms are important for

New Concepts for Building Vocabulary for Cell Image Ontologies

December 21, 2011
Author(s)
Anne L. Plant, John T. Elliott, Talapady N. Bhat
Background: We present an approach to cell image databasing that is compatible with searching across a global federation of independent image databases. The variety of biological experiments and data that practitioners would like to access and share is

Comparison of segmentation algorithms for fluorescence microscopy images of cells

June 14, 2011
Author(s)
Alden A. Dima, John T. Elliott, James J. Filliben, Michael W. Halter, Adele P. Peskin, Javier Bernal, Marcin Kociolek, Mary C. Brady, Hai C. Tang, Anne L. Plant
Segmentation results from nine different segmentation techniques applied to two different cell lines and five different sets of imaging conditions were compared. Significant variability in the results of segmentation was observed that was due solely to

Reproducibility and Robustness of a Real-Time Microfluidic Cell Toxicity Assay

May 15, 2011
Author(s)
Gregory A. Cooksey, John T. Elliott, Anne L. Plant
Numerous opportunities exist to apply microfluidic technology to high-throughput and high-content cell-based assays. However, maximizing the value of these assays for drug discovery, screening or toxicity evaluation, for example, will require validation of

Predicting Segmentation Accuracy for Biological Cell Images

December 15, 2010
Author(s)
Adele P. Peskin, Alden A. Dima, Joe Chalfoun, John T. Elliott
We have performed segmentation procedures on a large number of images from two mammalian cell lines that were seeded at low density, in order to study trends in the segmentation results and make predictions about cellular features that affect segmentation

A Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images

November 25, 2010
Author(s)
Adele P. Peskin, Joe Chalfoun, Alden A. Dima, John T. Elliott, James J. Filliben
We have developed a new semi-automated method for segmenting images of biological cells seeded at low density on tissue culture substrates, which we use to improve the generation of reference data for the evaluation of automated segmentation algorithms

Biological Cell Feature Identification by a Modified Watershed-Merging Algorithm

November 24, 2010
Author(s)
David E. Gilsinn, Kiran Bhadriraju, John T. Elliott
Biological cells are composed of many subsystems and organelles. The subsystem called the cytoskeleton is composed of long rod-shaped structures. They give the cell form and help attach the cell to the substrate and neighbors. One of the filaments is
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