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John T. Elliott (Fed)

Group Leader, Cell Systems Science Group

About: My research focuses on transferable automated biological measurement systems, standards and reference materials for cell-based assay, and data provenance frameworks to enable scalable, distributed biomanufacturing and detailed comparison of datasets.

Current Research & Projects

  • Digital Twin Cell Monitoring: Transferable optical measurement systems integrating AI transfer learning and fixed-cell reference materials.
  • Automated Assay Transfer: Standardization tools for communicating cell assay requirements across distributed biofoundry networks.
  • Cellular Material Specifications: Applying Quality by Design (QbD) principles to unit operations in cell manufacturing.
  • Data Provenance in Bio-Labs: Standardized data capture using Prov-DM and Common Provenance Models (CPM) for multi-agency testbeds.

Selected Publications

Thin Films of Collagen Affect Smooth Muscle Cell Morphology

Author(s)
John T. Elliott, Alessandro Tona, John T. Woodward IV, P L. Jones, Anne L. Plant
The purpose of this study was to provide a reproducible method for applying collagen to surfaces on which cells can be grown, and to characterize the resulting...

Biomimetic Membranes on Metal Supports

Author(s)
John T. Elliott, Curtis W. Meuse, Vitalii I. Silin, Susan T. Krueger, John T. Woodward IV, T Petralli-Mallow, Anne L. Plant
Biological membranes are complex and dynamic structures. The biological functions associated with membranes involve a number of different molecular species, and...

Publications

Interlaboratory Assessment of Candidate Reference Materials for Lentiviral Vector Copy Number and Integration Site Measurements

Author(s)
Hua-Jun He, Zhiyong He, Steven Lund, Barbara Paugh, Jennifer McDaniel, Justin Zook, Sierra Miller, Samantha Maragh, Simona Patange, Mahir Mohiuddin, Alessandro Tona, John Elliott, Kenneth Cole, Sheng Lin-Gibson
Reference materials are essential for accurately measuring integrated lentiviral vector (LV) copy number (VCN) and integration sites for the safety and efficacy...

An Infrastructure for Curating, Querying, and Augmenting Document Data: COVID-19 Case Study

Author(s)
Eswaran Subrahmanian, Guillaume Sousa Amaral, Talapady N. Bhat, Mary C. Brady, Kevin G. Brady, Jacob Collard, Sarra Chouder, Philippe Dessauw, Alden A. Dima, John T. Elliott, Walid Keyrouz, Nicolas Lelouche, Benjamin Long, Rachael Sexton, Ram D. Sriram
With the advent of the COVID-19 pandemic, there was the hope that data science approaches could help discover means for understanding, mitigating, and treating...
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Patents (2018-Present)

Graphic with multiple blocks showing a knowledge management system

Knowledge Management System and Process for Managing Knowledge

NIST Inventors
John T. Elliott , Talapady N. Bhat , Ursula R. Kattner , Carelyn E. Campbell , Ram D. Sriram , Eswaran Subrahmanian and Jacob Collard
A knowledge management system includes: a default knowledge system including: a knowledge system and a knowledge database in communication with the knowledge system; and a knowledge store in communication with the default knowledge system and including: a taxonomy amendment, an annotation amendment
View All Patents
Created October 9, 2019, Updated September 23, 2026
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