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Paul Patrone (Fed)

Paul Patrone is a staff scientist in the Applied and Computational Mathematics division (ACMD) of ITL.   He received a B.A. from St. John's College in Annapolis, as well as an M.S. in Applied Mathematics and Ph.D. in physics from the University of Maryland, College Park.  Current research interests include uncertainty quantification for molecular dynamics simulations and coarse-graining techniques for condensed matter systems.

 

 

Publications

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Patents (2018-Present)

System And Method For Data Analysis In Quantitative PCR Measurements

NIST Inventors
Anthony J. Kearsley , Paul Patrone , Erica Romsos and Peter M. Vallone
In quantitative polymerase chain-reaction (qPCR) measurements, accurately subtracting background signals, quantifying the amount of DNA, and ensuring fidelity of data analysis and diagnostic tests is challenging. Such problems are especially acute for emerging / novel diseases that lack thoroughly
Serial cytometry involves making repeated measurements of single objects as they pass through multiple interrogation regions in a microfluidic channel. Integrated optical waveguides deliver and collect light from objects. Matching and analysis of signals from individual cells, for example, enable uncertainty estimates on the biomarker content of each cell, which enables better comparison and classification of cells and mixture of cells.

Serial Cytometry

NIST Inventors
Gregory A Cooksey , Paul Patrone and Anthony J. Kearsley
NIST scientists have developed a microfluidic flow cytometer that is capable of robust and repeated measurements that provide first-of-their-kind uncertainty estimates, which support better comparability and classification of cytometry data. The device measures single objects in flow several times

Multiplexed Amplitude Modulation Fluorometry

NIST Inventors
Anthony J. Kearsley , Gregory A Cooksey and Paul Patrone
Improving accuracy of cytometers is challenging because optical configuration, flow control methods, and calibration issues make it difficult to characterize geometric factors associated with signal collection. State-of-the-art tools only collect a small solid angle of emitted light, so that minor
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Created October 9, 2019, Updated December 9, 2022
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