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1. 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 ...
2. 3D Segmentation of Stem Cells from Thousands of Confocal Microscopy Images
Peter Bajcsy, Mylene Henriqueta Monique Simon, Stephen J Florczyk, Carl George Simon Jr., Derek Juba, Mary C Brady
We address the problem of estimating 3D segmentation performance when segmentation is applied to thousands of confocal microscopy images (z-stacks) of cells. With a very large number of z-stacks, manual inputs to validate each segmentation result are ...
3. 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 ...
4. A Hybrid CPU-GPU System for Fourier-Based Stitching of Optical Microscopy Images
Walid Keyrouz, Bertrand Clement Stivalet, Timothy J Blattner, Shujia Zhou, Joe Chalfoun, Mary C Brady
We present a high performance hybrid CPU-GPU implementation that accelerates the Fourier-based stitching of 2D optical microscopy images to less than 1-minute (end-to-end execution times). This implementation takes advantage of coarse-grained parall ...
5. An Application of Combinatorial Methods to Conformance Testing for Document Object Model Events
NIST Interagency/Internal Report (NISTIR)
Carmelo Montanez-Rivera, David R Kuhn, Mary C Brady, Richard M Rivello, Jenise Reyes Rodriguez, Michael K. Powers
This report describes the use of combinatorial test methods to reduce the cost of testing for the Document Object Model Events standard while maintaining an equivalent level of assurance. More than 36,000 tests - all possible combinations of equival ...
6. Background Intensity Correction for Terabyte-Sized Time-Lapse Images
Joe Chalfoun, Michael P Majurski, Kiran Bhadriraju, Steven P Lund, Peter Bajcsy, Mary C Brady
7. 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
8. Calibrating multiple microscopes with a smartphone
Peter Bajcsy, Mary C Brady, Jacob Siegel
Summary: The iPhone liquid crystal displays allows efficient and accurate calibration of an inexpensive array of handheld microscopes for measuring microscopic dynamic events over a large field of view.
How does one build an inexpensive array of ha ...
9. 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 ...
10. 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 ...