Adele Peskin

Publications

High-volume, label-free imaging for quantifying single-cell dynamics in induced pluripotent stem cell colonies

February 20, 2024

Author(s)

Anthony Asmar, Zackery Benson, Adele Peskin, Mylene Simon, Joe Chalfoun, Michael Halter, Anne L. Plant

To facilitate the characterization of unlabeled induced pluripotent stem cells (iPSCs) during culture and expansion, we developed an AI pipeline for nuclear

Semi-supervised 3D Neural Networks to Track iPS Cell Division in Label-free Phase Contrast Time Series Images

August 21, 2022

Author(s)

Adele Peskin, Joe Chalfoun, Michael Halter, Anne Plant

In order to predict cell population behavior, it is important to understand the dynamic characteristics of individual cells. Individual induced pluripotent stem

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

X-Ray Computed Tomography using Partially Coherent Fresnel Diffraction with Application to an Optical Fiber

January 18, 2021

Author(s)

Zachary H. Levine, Edward Garboczi, Adele Peskin, Axel A. Ekman, Elisabeth Mansfield, Jason Holm

An algorithm for partially coherent x-ray computed tomography including Fresnel diffraction is developed and applied to an optical fiber. The computing time is

Detection of Dense, Overlapping, Geometric Objects

July 1, 2020

Author(s)

Adele P. Peskin, Boris Wilthan, Michael P. Majurski

Using a unique data collection, we are able to study the detection of dense geometric objects in image data where object density, clarity, and size vary. The

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Adele Peskin (Fed)

Publications