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Search Publications by: Alden A. Dima (Fed)

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Displaying 26 - 45 of 45

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

Predicting Segmentation Accuracy for Biological Cell Images

December 15, 2010
Author(s)
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 segmentation

Predicting Segmentation Accuracy for Biological Cell Images

November 29, 2010
Author(s)
Adele P. Peskin, Alden A. Dima, Joe Chalfoun
We have performed image segmentations on a very large number of images, using a wide variety of imaging conditions and cell lines, in order to study trends in the segmentation results and make predictions about segmentation accuracy. Comparing results from

A Human Inspired Local Ratio-Based Algorithm for Edge Detection in Fluorescent Cell Images

November 25, 2010
Author(s)
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 algorithms

Image Classification of Vascular Smooth Muscle Cells

November 11, 2010
Author(s)
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 was

AN AUTOMATIC OVERLAP-BASED CELL TRACKING SYSTEM

February 26, 2010
Author(s)
Joe Chalfoun, Antonio Cardone, Alden A. Dima, Michael Halter, Daniel P. Allen
In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an overlap-based cell tracking algorithm that has the ability to track cells across a set of time-lapse

Overlap-Based Cell Tracker

February 2, 2010
Author(s)
Joe Chalfoun, Antonio Cardone, Alden A. Dima, Michael Halter, Daniel P. Allen
In order to facilitate the extraction of quantitative data from live cell image sets, automated image analysis methods are needed. This paper presents an introduction to the general principle of an overlap cell tracking software developed by NIST. This

A Quality Pre-Processor for Biological Cell Images

November 30, 2009
Author(s)
Adele P. Peskin, Karen Kafadar, Alden A. Dima
We have developed a method to rapidly test the quality of a biological image, to identify appropriate segmentation methods, if any, that will render high quality segmentations for the cells within that image. The key contribution is the development of a

Synthetic Lung Tumor Data Sets for Comparison of Volumetric Algorithms

July 13, 2009
Author(s)
Adele P. Peskin, Alden A. Dima, Javier Bernal, David E. Gilsinn, Karen Kafadar
The change in pulmonary nodules over time is an important indicator of malignant tumors. It is therefore important to be able to measure change in the size of tumors from computed tomography (CT) data taken at different times and on potentially different

Using Intelligent Agents to Assess Pervasive Computing Technologies

January 1, 2001
Author(s)
L P. Ciarletta, Alden A. Dima, V P. Iordanov
Pervasive Computing (a.k.a. Ubiquitous or Ambient Computing) is a new field of computer science generally considered to lie at the intersection of desktop computing, networking, and embedded systems. Related to pervasive computing are Intelligent

The Case for Simulation-Based Evaluation of Ubiquitous Computing Environments

January 25, 2000
Author(s)
Alden A. Dima, L P. Clarletta
Ubiquitous computing (a.k.a. pervasive computing) is ill-defined due to its novelty and the community's current emphasis on its technological aspects. This can lead to serious \existential issues during the evaluation of ubiquitous computing technologies

A Conceptual Model for Pervasive Computing

January 1, 2000
Author(s)
L P. Ciarletta, Alden A. Dima
As an emerging field, pervasive computing has not had the opportunity to develop a conceptual model similar to the OSI Reference Model used to describe computer networks. Such a model would be useful to properly classify issues raised during discussion and

Flits: Pervasive Computing for Processor and Memory Constrained Systems

January 1, 2000
Author(s)
William J. Majurski, Alden A. Dima, Mary T. Laamanen
Many pervasive computing software technologies are targeted for 32-bit desktop platforms. However, there are innumerable 8, 16, and 32-bit microcontroller and microprocessor-based embedded systems that do not support the resource requirements of these

Using XML in a Software Diagnostic Tool

December 6, 1999
Author(s)
Alden A. Dima
Many development tools such as execution tracing tools generate a large amount of text output. The large quantity of text make it hard for the user to sort through and make sense of the output. In addition, the output is often formatted in a manner that

Raising the Bar on Software Security Testing

June 1, 1999
Author(s)
Alden A. Dima, John P. Wack, S A. Wakid
This article describes an effort lead by NIST and NSA to define and promote an open and commercially driven set of testing methods for software security through the National Information Assurance Partnership (NIAP) (see http://niap.nist.gov). This

VRML Test Case Generation and Evaluation Using Java

June 1, 1998
Author(s)
Leonard E. Gebase, Mary C. Brady, Alden A. Dima, Lynne S. Rosenthal
A well-established approach to conformance testing is to treat the implementation being tested as a black box. With this approach, a reference implementation is built to control and evaluate the implementation being tested, and a supporting implementation