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11. A Hybrid CPU-GPU Approach to Fourier-Based Image Stitching of Optical Microscopy Images
Walid Keyrouz, Timothy J Blattner, Bertrand Clement Stivalet, Joe Chalfoun, Mary C Brady, Shujia Zhou
We present a hybrid CPU-GPU approach for the Fourier-based stitching of optical microscopy images. This system achieves sub-minute stitching rates with large grids; it stitches a grid of 59x42 tiles in 26 seconds on a two-CPU (8 physical cores) & two ...
12. Segmenting Time-lapse Phase Contrast Images of Adjacent NIH 3T3 Cells
Joe Chalfoun, Alden A Dima, Marcin Kociolek, Michael W Halter, Antonio Cardone, Adele P Peskin, Peter Bajcsy, Mary C Brady
We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when cells are in contact. The problem of segmentation, when cells are in contact, poses a challenge to the accurate automation of cell cou ...
13. Big Data Issues in Quantitative Imaging
Mary C Brady, Alden A Dima, Charles D. Fenimore, James J Filliben, John Lu, Adele P Peskin, Mala Ramaiah, Ganesh Saiprasad, Ram D Sriram
14. Conformance of Image Features to Classifier Assumptions
Julien M. Amelot, Peter Bajcsy, Mary C Brady
Cell measurements are derived frequently from the results of pixel classification and contiguous
region segmentation of microscopy images. Image segmentation is accomplished by classifying image
pixels based on high dimensional image features com ...
15. Monte Carlo and dynamics simulations of cdk5 Kinase inhibitor peptides p5 in aqueous solution
Antonio Cardone, Sergio Hassan, Mary C Brady, Ram D Sriram, Harish C. Pant
Protein function depends on shape changes that are triggered by interactions with other molecules.
Insights into protein dynamics and interactions enable the understanding of certain pathologies,
which may be caused by the deregulation of protein ...
16. Web Accessible Image Similarity Measurements
Antoine Vandecreme, Paul Khouri Saba, Benjamin J Long, Joe Chalfoun, Peter Bajcsy, Mary C Brady
17. Evaluation of Fault Detection Effectiveness for Combinatorial and Exhaustive Selection of Discretized Test Inputs
Carmelo Montanez-Rivera, David R Kuhn, Mary C Brady, Richard M Rivello, Jenise Reyes Rodriguez, Michael K. Powers
Testing components of web browsers and other graphical interface software can be extremely expensive because of the need for human review of screen appearance and interactive behavior.
Combinatorial testing has been advocated as a method that provid ...
18. 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 ...
19. NIST Workshop on Ontology Evaluation (NISTIR 7774)
NIST Interagency/Internal Report (NISTIR)
Ram D Sriram, Conrad E Bock, Fabian M. Neuhaus, Evan K Wallace, Mary C Brady, Mark Musen, Joanne Luciano
The National Institute for Standards and Technology sponsored a workshop in October, 2007, on the
subject of ontology evaluation. An international group of invited experts met for two days to
discuss problems in measuring ontology quality. The ...
20. Image Classification of Vascular Smooth Muscle Cells
Michael Grasso, Ronil Mokashi , Alden A Dima, Antonio Cardone, Kiran Bhadriraju, Anne L Plant, Mary C Brady, Yaacov Yesha, Yelena Yesha
The traditional method of cell microscopy can be subjective, due to observer variability, a lack of standardization, and a limited feature set. To address this challenge, we developed an image classifier using a machine learning approach. Our system ...