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Search Publications by: John T. Elliott (Fed)

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Displaying 51 - 75 of 148

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