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Search Publications by: Adele Peskin (Fed)

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Displaying 26 - 50 of 99

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

Evaluation of Low-Contrast Detectability of Iterative Reconstruction across Multiple Institutions, CT Scanner Manufacturers, and Radiation Exposure Levels

February 19, 2015
Author(s)
Adele P. Peskin, Ganesh Saiprasad, James J. Filliben, Alden A. Dima
Purpose: To evaluate the impact of Iterative Reconstruction (IR) compared with Filtered Back Projection (FBP) using low-contrast objects in phantom images across vendors and exposure levels. Materials and Methods: Randomized repeat scans of the Gammex 464

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

Segmenting Time-lapse Phase Contrast Images of Adjacent NIH 3T3 Cells

January 15, 2013
Author(s)
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 counting

Big Data Issues in Quantitative Imaging

August 29, 2012
Author(s)
Mary C. Brady, Alden A. Dima, Charles D. Fenimore, James J. Filliben, John Lu, Adele Peskin, Mala Ramaiah, Ganesh Saiprasad, Ram D. Sriram

Segmentation and Cell Tracking of Breast Cancer Cells

September 26, 2011
Author(s)
Adele P. Peskin, Daniel J. Hoeppner, Christina H. Stuelten
We describe a new technique to segment and track the cell images of a breast cancer cell line in order to study cell migration and metastasis. Within each image cell phenotypes vary widely, ranging from very bright completely bounded cells to barely

Comparison of segmentation algorithms for fluorescence microscopy images of cells

June 14, 2011
Author(s)
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 to