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Troy J. Kemp

Government of the United States of America - Frederick National Laboratory for Cancer Research

Bethesda, MD 20892

United States

  • Government of the United States of America - Frederick National Laboratory for Cancer Research

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Scholarly Papers (1)

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A Semi‑Automated ELISA Workflow for SARS‑CoV‑2 IgG Detection Significantly Improves Throughput and Reduces Hands‑On Time

Number of pages: 14 Posted: 17 Feb 2026
Ruturaj R. Masvekar, Gabriela Mansano Do Nascimento, Aliyah H. Remoroza, Shweta Jain, Troy J. Kemp, Bruce K. Brown and Ligia A. Pinto
Government of the United States of America - Frederick National Laboratory for Cancer Research, Government of the United States of America - Frederick National Laboratory for Cancer Research, Government of the United States of America - Frederick National Laboratory for Cancer Research, Government of the United States of America - Frederick National Laboratory for Cancer Research, Government of the United States of America - Frederick National Laboratory for Cancer Research, Government of the United States of America - Frederick National Laboratory for Cancer Research and Government of the United States of America - Frederick National Laboratory for Cancer Research
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ELISA, semi-automation, SARS-CoV2, Nucleocapsid IgG antibodies, Validation, workflow optimization