Potential for Process Improvement of Clinical Flow Cytometry by Incorporating Real-Time Automated Screening of Data to Expedite Addition of Antibody Panels.

Journal: American journal of clinical pathology

Published Date: Mar 3, 2022

Abstract

OBJECTIVES: We desired an automated approach to expedite ordering additional antibody panels in our clinical flow cytometry lab. This addition could improve turnaround times, decrease time spent revisiting cases, and improve consistency.

Authors

Paul D Simonson

Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
Aaron Y Lee

Department of Ophthalmology, University of Washington, Seattle, Washington.
David Wu

School of Nursing & Health Professions, Georgia State University, Atlanta, GA.

Keywords

Adult Algorithms Area Under Curve Flow Cytometry Humans Leukemia, Lymphocytic, Chronic, B-Cell Machine Learning

External Resources

View on PubMed Access via DOI PubMed (34724537)

Potential for Process Improvement of Clinical Flow Cytometry by Incorporating Real-Time Automated Screening of Data to Expedite Addition of Antibody Panels.

Abstract

Authors

Keywords

External Resources

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