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Search Publications by: Joe Chalfoun (Fed)

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Displaying 1 - 25 of 42

Vision-based thermal drift monitoring method for machine tools

April 15, 2023
Author(s)
Gregory W. Vogl, Ainsley Rexford, Zongze Li, Robert Landers, Edward Kinzel, Alkan Donmez, Joe Chalfoun
A method is presented to measure machine tool thermal drift for error compensation. A wireless microscope within a tool holder in the spindle is used to capture videos of image targets attached to the worktable. For each target, one video is captured

Three-dimensional, label-free cell viability measurements in tissue engineering scaffolds using optical coherence tomography

March 14, 2023
Author(s)
Greta Babakhanova, Anant Agrawal, Deepika Arora, Allison Horenberg, Jagat Budhathoki, Joy Dunkers, Joe Chalfoun, Peter Bajcsy, Carl Simon Jr.
In the field of tissue engineering, 3D scaffolds and cells are often combined to yield constructs that are used as therapeutics to repair or restore tissue function in patients. Viable cells are required to achieve the intended mechanism of action for the

Measuring Dimensionality of Cell-Scaffold Contacts of Primary Human Bone Marrow Stromal Cells Cultured on Electrospun Fiber Scaffolds

January 1, 2023
Author(s)
Carl Simon Jr., Peter Bajcsy, Joe Chalfoun, Michael Paul Majurski, Mary C. Brady, Mylene Simon, Nathan Hotaling, Nick Schaub, Allison Horenberg, Piotr Szczypinski, Dongbo Wang, Veronica DeFelice, Soweon Yoon, Stephanie Florczyk
The properties and structure of the cellular microenvironment can influence cell behavior. Sites of cell adhesion to the extracellular matrix (ECM) initiate intracellular signaling that direct cell functions such as proliferation, differentiation and

Accurate and Robust Trypan Blue-Based Cell Viability Measurement Using Neural Networks

July 19, 2021
Author(s)
Adele Peskin, Steven Lund, Chenyi Ling, Laura Pierce, Sumona Sarkar, Firdavs Kurbanov, Michael Halter, Joe Chalfoun, John T. Elliott
Trypan blue dye exclusion-based cell viability measurements are highly dependent upon image quality and consistency. In order to make measurements repeatable, one must be able to reliably capture images at a consistent focal plane, and with signal-to-noise

Object Measurements from 2D Microscopy Images

December 11, 2020
Author(s)
Peter Bajcsy, Joe Chalfoun, Mylene Simon, Mary C. Brady, Marcin Kociolek
This chapter addresses object measurements from 2D microscopy images. Object measurements (called image features) vary in terms of theoretical formulas for the same image feature, the physical units used to represent pixel-based measurements, the

Quantitative Bright-Field Microscopy Combined with Deep Neural Networks Predict Live Tissue Function

February 29, 2020
Author(s)
Carl Simon Jr., Nicholas J. Schaub, Petru S. Manescu, Sarala Padi, Mylene Simon, Peter Bajcsy, Nathan A. Hotaling, Joe Chalfoun, Mohamed Ouladi, Qin Wan, Kapil Bharti, Ruchi Sharma
Progressive increases in the number of cell therapies in the preclinical and clinical phases has prompted the need for reliable and non-invasive assays to validate transplant function in clinical biomanufacturing. Here, we developed a robust

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

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

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

Shape Descriptors Comparison for Cell Tracking

October 15, 2015
Author(s)
Michael P. Majurski, Christopher Zheng, Joe Chalfoun, Alden A. Dima, Mary C. Brady
New microscope technologies are enabling the acquisition of large volumes of live cell image data. Accurate temporal object tracking is required to facilitate the analysis of this data. One principle component of cell tracking is correspondence, matching

A Hybrid CPU-GPU System for Stitching Large Scale Optical Microscopy Images

September 12, 2014
Author(s)
Timothy Blattner, Walid Keyrouz, Joe Chalfoun, Bertrand C. Stivalet, Mary C. Brady, Shujia Zhou
Researchers in various fields are using optical microscopy to acquire very large images, 10K--200K of pixels per side. Optical microscopes acquire these images as grids of overlapping partial images (thousands of pixels per side) that are then stitched