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Search Publications by: Pushkar Sathe (IntlCtr)

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Displaying 1 - 5 of 5

AI driven 3D subcellular RPE map discovers cell state transitions in establishment of apical-basal polarity

January 12, 2026
Author(s)
Davide Ortolan, Pushkar Sathe, Andrei Volkov, Dominik Reichert, Sheldon Sebastian, Arvydas Maminishkis, Nicolas Schaub, Devika Bose, Jorge Alejandro Suarez de Freitas Ferrari, Nyusha Lin, Gianluca Pegoraro, Carl Simon, Ruchi Sharma, Peter Bajcsy, Kapil Bharti
The retinal pigment epithelium (RPE) is a specialized cell monolayer that forms the barrier between the subretinal and choroidal spaces. During development, RPE cells polarize perpendicular to the monolayer plane such that organelles attain specific

Relating Human and AI-based Detection Limits in SEM Dimensional Metrology

October 25, 2025
Author(s)
Peter Bajcsy, Pushkar Sathe, Andras Vladar
Background: The nanoscale measurements of critical dimensions in semiconductor manufacturing rely on scanning electron microscopy (SEM) and SEM image analyses. The acquisition of SEM images requires a low primary electron beam current and a low dose of the

Small-Angle Scattering and Dark-Field Imaging for Validation of a New Neutron Far-Field Interferometer

December 1, 2024
Author(s)
Caitlyn M. Wolf, Peter Bajcsy, Wei-Ren Chen, Robert Dalgliesh, Michael Daugherty, Liliana de Campo, Fumiaki Funama, Lilin He, Michael Huber, David Jacobson, Paul A. Kienzle, Youngju Kim, Hubert King, Nikolai Klimov, Jacob LaManna, Fankang Li, Alexander Long, Ryan Murphy, Gergely Nagy, Sarah M. Robinson, Pushkar Sathe, Gregory N. Smith, Anna Sokolova, Sven Vogel, Erik Watkins, Yuxuan Zhang, Daniel Hussey, Kathleen Weigandt
The continued advancement of complex materials often requires a deeper understanding of the structure–function relationship across many length scales, which quickly becomes an arduous task when multiple measurements are required to characterize

Simulation of Neutron Dark-Field Data for Grating-Based Interferometers

April 1, 2024
Author(s)
Caitlyn Wolf, Youngju Kim, Paul A. Kienzle, Pushkar Sathe, Michael Daugherty, Peter Bajcsy, Daniel Hussey, Kathleen Weigandt
Hierarchical structures and heterogeneous materials are found in many natural and engineered systems including additive manufacturing, alternative energy, biology and polymer science. Though the structure–function relationship is important for developing

Data-driven Simulations For Training AI-Based Segmentation of Neutron Images

March 19, 2024
Author(s)
Pushkar Sathe, Caitlyn M. Wolf, Youngju Kim, Sarah M. Robinson, Michael Daugherty, Ryan Murphy, Jacob LaManna, Michael Huber, David Jacobson, Paul A. Kienzle, Kathleen Weigandt, Nikolai Klimov, Daniel Hussey, Peter Bajcsy
Neutron interferometry is unique in its ability to measure atomic scale properties of materials that no other imaging modality can. However, building, operating, and using such neutron imaging instruments poses constraints on the acquisition time and on
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