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Search Publications by: Peter Bajcsy (Fed)

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Displaying 51 - 75 of 121

Large Field of View Quantitative Phase Imaging of Induced Pluripotent Stem Cells and Optical Pathlength Reference Materials

February 23, 2018
Author(s)
Edward J. Kwee, Alexander W. Peterson, Jeffrey R. Stinson, Michael W. Halter, Liya Yu, Michael P. Majurski, Joe Chalfoun, Peter Bajcsy, John T. Elliott
Induced pluripotent stem cells (iPSCs) are reprogrammed cells that can have heterogeneous biological potential. Quality assurance metrics of reprogrammed iPSCs will be critical to ensure reliable use in cell therapies and personalized diagnostic tests. We

Web Microanalysis of Big Image Data

February 1, 2018
Author(s)
Peter Bajcsy, Joe Chalfoun, Mylene H. Simon
This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure

Modeling, Validation and Verification of Three-Dimensional Cell-Scaffold Contacts from Terabyte- sized Images

December 1, 2017
Author(s)
Peter Bajcsy, Sowon Joy Yoon, Stephen Florczyk, Nathan Hotaling, Mylene H. Simon, Piotr Szczypinski, Nicholas J. Schaub, Carl G. Simon Jr., Mary C. Brady, Ram D. Sriram
Background: Cell-scaffold contact measurements are derived from pairs of co-registered volumetric fluorescent confocal laser scanning microscopy (CLSM) images (z-stacks) of stained cells and spun coat, large microfiber, and medium microfiber scaffolds. Our

3D Cellular Morphotyping of Cell Niches

August 31, 2017
Author(s)
Stephen J. Florczyk, Mylene H. Simon, Derek Juba, Patrick S. Pine, Sumona Sarkar, Desu Chen, Paula J. Baker, Subhadip Bodhak, Antonio Cardone, Mary C. Brady, Peter Bajcsy, Carl G. Simon Jr.
Three-dimensional (3D) cellular morphotyping is introduced for assessing and comparing the niches provided by biomaterial scaffolds. Many scaffold systems have been advanced to provide synthetic cell niches for tissue engineering and drug screening

From Image Tiles to Web-Based Interactive Measurements in One Stop

January 4, 2017
Author(s)
Antoine Vandecreme, Michael P. Majurski, Joe Chalfoun, Keana Scott, John Henry Scott, Mary C. Brady, Peter Bajcsy
This article aims at introducing readers to a web-based solution useful for interactive measurements of centimeter-sized specimens at nanoscales. Modern imaging technology has enabled nanoscale imaging to become a routine process. As the imaging technology

Enabling Interactive Measurements from Large Coverage Microscopy

July 1, 2016
Author(s)
Peter Bajcsy, Antoine Vandecreme, Julien M. Amelot, Mary C. Brady, Joe Chalfoun, Michael P. Majurski
Microscopy could be an important tool for characterizing stem cell products if quantitative measurements could be collected over multiple spatial and temporal scales. With the cells changing states over time and being several orders of magnitude smaller

Methodology for Increasing Image Feature Measurement Accuracy

June 30, 2016
Author(s)
Michael Paul Majurski, Joe Chalfoun, Steven Lund, Peter Bajcsy, Mary C. Brady
Motivation Image features are computed in cell biology to derive quantitative information regarding cell state, differentiation, biological activity, and cell dynamics. The accuracy of any biological conclusions depends on the accuracy of the measured

Large-scale Time-lapse Microscopy of Oct4 Expression in Human Embryonic Stem Cell Colonies

May 22, 2016
Author(s)
Kiran Bhadriraju, Michael Halter, Julien M. Amelot, Peter Bajcsy, Joe Chalfoun, Antoine Vandecreme, Barbara Mallon, Kye-yoon Park, John T. Elliott, Subhash Sista, Anne L. Plant
Identification of critical characteristics of therapeutically active cells, and quantification of those characteristics, are essential for assuring consistency and potency of cell therapy products. We have developed image analysis and visualization

3D Segmentation of Stem Cells from Thousands of Confocal Microscopy Images

March 1, 2016
Author(s)
Peter Bajcsy, Mylene H. Simon, Stephen J. Florczyk, Carl G. 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
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