U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: Peter Bajcsy (Fed)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 76 - 100 of 121

Survey Statistics of Automated Segmentations Applied to Optical Imaging of Mammalian Cells

January 8, 2016
Author(s)
Peter Bajcsy, Antonio Cardone, Joe Chalfoun, Michael W. Halter, Derek Juba, Marcin Kociolek, Michael P. Majurski, Adele P. Peskin, Carl G. Simon Jr., Mylene H. Simon, Antoine Vandecreme, Anne L. Plant, Mary C. Brady
The goal of this survey paper is to overview cellular measurements using optical microscopy imaging followed by automated image segmentation. The cellular measurements of primary interest are taken from mammalian cells and their components. They are

Confidence Estimation in Stem Cell Classification

October 15, 2015
Author(s)
Peter Bajcsy, Jana Kosecka, Zahra Rajabi
We study the problem of supervised classification of stem cell colonies and confidence estimation of the attained classification labels. The problem is investigated in the application context of heterogeneity labels of stem cell colonies observed by using

Quantifying CD4 receptor protein in two human CD4+ lymphocyte preparations for quantitative flow cytometry

December 11, 2014
Author(s)
Meiyao M. Wang, Martin Misakian, Hua-Jun He, Peter Bajcsy, Jeffrey M. Davis, Kenneth D. Cole, Illarion Turko, Lili Wang, Fatima Abbasi
For quantitative flow cytometry, a biological cell reference material with a known biomarker expression level is needed to transform a linear arbitrary fluorescence intensity scale obtained with fluorescent microspheres to an antibody bound per cell (ABC)

Spatial Computations over Terabyte-Sized Images on Hadoop Platforms

October 27, 2014
Author(s)
Peter Bajcsy, Antoine Vandecreme, Mary C. Brady, Phuong Nguyen
Our objective is to lower the barrier of executing spatial image computations in a computer cluster/cloud environment instead of in a desktop/laptop computing environment. We research two related problems encountered during an execution of spatial

Automated Ranking of Stem Cell Colonies by Translating Biological Rules to Computational Models

September 20, 2014
Author(s)
Adele P. Peskin, Steven P. Lund, YaShian Li-Baboud, Michael W. Halter, Anne L. Plant, Peter Bajcsy
This paper addresses the problem of automating an image ranking process for stem cell colonies. We automate the manual process in a novel way: instead of fitting off-the-shelf image features and colony ranks to prediction models, we define a new feature

Measuring Organelle Shape in 3D in Stem Cells Cultured on Nanofiber Scaffolds

April 19, 2014
Author(s)
Carl G. Simon Jr., Peter Bajcsy, Wojtek J. Tutak, Jyotsnendu J. Giri
Previous work has demonstrated that culture of osteoprogenitor cells on nanofiber scaffolds can potentiate osteogenic differentiation [1-4]. Culture of cells in nanofiber scaffolds causes changes to cell morphology, suggesting that morphological changes

Calibrating multiple microscopes with a smartphone

April 1, 2014
Author(s)
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 handheld

Re-Projection of Terabyte-sized 3D Images for Interactive Visualization

October 9, 2013
Author(s)
Peter Bajcsy, Antoine Vandecreme, Mary C. Brady
How does one inspect terabyte-sized 3D images visually from multiple viewpoints? The current solutions are limited to gigabyte-sized images using specialized hardware to achieve interactivity and lacking the ability to share data for collaborative research

Re-projection of Terabyte-Sized Images

October 7, 2013
Author(s)
Peter Bajcsy, Antoine Vandecreme, Mary C. Brady
This work addresses the problem of re-projecting a terabyte-sized 3D data set represented as a set of 2D Deep Zoom pyramids. In general, a re-projection for small 3D data sets is executed directly in RAM. However, RAM becomes a limiting factor for terabyte

Terabyte Size Image Computations on Hadoop Cluster Platforms

October 7, 2013
Author(s)
Peter Bajcsy, Antoine Vandecreme, Julien M. Amelot, Phuong T. Nguyen, Joe Chalfoun, Mary C. Brady
We present a characterization of four basic terabyte size image computations on a Hadoop cluster in terms of their relative efficiency according to the modified Amdahl’s law. The work is motivated by the fact that there is a lack of standard benchmarks and
Was this page helpful?