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Author: john elliott
Displaying records 11 to 20 of 42 records.
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11. Comparison of segmentation algorithms for fluorescence microscopy images of cells
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 ...
12. Reproducibility and Robustness of a Real-Time Microfluidic Cell Toxicity Assay
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 va ...
13. Predicting Segmentation Accuracy for Biological Cell Images
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 segm ...
14. A Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images
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 algor ...
15. Biological Cell Feature Identification by a Modified Watershed-Merging Algorithm
NIST Interagency/Internal Report (NISTIR)
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 ...
16. Instantaneous Trapping and Long Term Cell Survival Under Dielectrophoretic Conditions Using a Hybrid Cell Adhesive Surface
Darwin R Reyes-Hernandez, Jennifer S. Hong, John T Elliott, Michael Gaitan
A dielectrophoresis (DEP) microfluidic device that allows instantaneous trapping of cells for rapid return to cell growth conditions (within 5 minutes) and long-term cell experiments (cell proliferation, induction and differentiation) of embryonic P1 ...
17. A mechanistically relevant cytotoxicity assay based on the detection of cellular GFP
Michael W Halter, Jamie L Almeida, Alessandro Tona, Kenneth D Cole, Anne L Plant, John T Elliott
Cell-based assays for measuring ribosome inhibition by proteins such as the plant toxin ricin are important for characterizing decontamination strategies and developing detection technologies for field use. We report here an assay for ricin that prov ...
18. Cell volume distributions reveal cell growth rates and division times
Michael W Halter, John T Elliott, Joseph Bunton Hubbard, Alessandro Tona, Anne L Plant
A population of cells in culture displays a range of phenotypic responses, even when those cells are derived from a single cell and are exposed to a homogeneous environment. Phenotypic variability can have a number of sources, including the variable ...
19. Determination of Protein Aggregation with Differential Mobility Analysis: Application to IgG Antibody
Leonard F. Pease III, John T Elliott, De-Hao D. Tsai, Michael Russel Zachariah, Michael J Tarlov
Here we describe the use of electrospray differential mobility analysis (ES-DMA), also known as gas-phase electrophoretic mobility molecular analysis (GEMMA), as a method for measuring low-order aggregates of proteins in solution. We demonstrate pro ...
20. The Stiffness of Collagen Fibrils Influences Vascular Smooth Muscle Cell Phenotype
Dennis P. McDaniel, Gordon Allan Shaw, John T Elliott, Kiran Bhadriraju, Curtis W Meuse, Koo-Hyun Chung, Anne L Plant
Cells receive signals from the extracellular matrix through receptor-dependent interactions, but they are also influenced by the mechanical properties of the matrix. While bulk properties of substrates have been shown to effect cell behavior, we sho ...