6 citations · 22 across the 21 of their papers we have counts for
4 papers · 1 filter
Per-event Uncertainty Quantification for Flow Cytometry using Calibration Beads
Prajakta Bedekar, Megan A. Catterton, Matthew DiSalvo +3
Flow cytometry measurements are widely used in diagnostics and medical decision making. Incomplete understanding of sources of measurement uncertainty can make it difficult to dist…
Uncertainty quantification in flow cytometry using a cell sorter
Amudhan Krishnaswamy-Usha, Gregory A. Cooksey, Paul Patrone
In cytometry, it is difficult to disentangle the contributions of population variance and instrument noise towards total measured variation. Fundamentally, this is due to the fact…
Uncertainty Quantification of Antibody Measurements: Physical Principles and Implications for Standardization
Paul N. Patrone, Lili Wang, Sheng Lin-Gibson +1
Harmonizing serology measurements is critical for identifying reference materials that permit standardization and comparison of results across different diagnostic platforms. Howev…
Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learning
Paul N. Patrone, Raquel A. Binder, Catherine S. Forconi +2
This is the second manuscript in a two-part series that uses diagnostic testing to understand the connection between prevalence (i.e. number of elements in a class), uncertainty qu…