scholarly journals Cell population data: Could a routine hematology analyzer aid in the differential diagnosis of COVID‐19?

2020 ◽  
Author(s):  
Ivana Lapić ◽  
Tina Brenčić ◽  
Dunja Rogić ◽  
Maja Lukić ◽  
Iva Lukić ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Cell Population ◽  
Population Data ◽  
Hematology Analyzer

scholarly journals Leukocyte Cell Population Data for Hematology Analyzer-Based Distinction of Clonal-versus-Non-Clonal Lymphocytosis: A Real-World Testing Experience

2018 ◽  
Vol 34 (4) ◽  
pp. 623-631 ◽  
Author(s):  
Pulkit Rastogi ◽  
Prashant Sharma ◽  
Neelam Varma ◽  
Dmitry Sukhachev ◽  
Naveen Kaushal ◽  
...  
Keyword(s):  
Cell Population ◽  
Real World ◽  
Population Data ◽  
Hematology Analyzer

Biological Variations of Leukocyte Numerical and Morphologic Parameters Determined by UniCel DxH 800 Hematology Analyzer

2012 ◽  
Vol 136 (11) ◽  
pp. 1392-1396 ◽  
Author(s):  
Huqiang Tang ◽  
Jiyong Jing ◽  
Dandan Bo ◽  
Dongsheng Xu
Keyword(s):  
Cell Population ◽  
Population Data ◽  
Population Based ◽  
Reference Ranges ◽  
Hematology Analyzer ◽  
Index Of Individuality ◽  
Leukocyte Counts ◽  
First Time ◽  
Adult Volunteers ◽  
Instrument Quality

Context.—The Coulter DxH 800 hematology analyzer can determine leukocyte numerical parameters (total leukocyte counts and differentials). It also measures intrinsic biophysical properties of these cells in their near-native state. These morphologic measurements are known as cell population data (CPD). Objective.—To study, for the first time, the biological variations of morphologic parameters or CPD and reinvestigate numerical parameters using the newest Coulter hematology analyzer. Design.—Forty adult volunteers (21 women, 19 men) were included. All participants maintained their normal lifestyles. Blood samples were drawn in duplicate by a single experienced phlebotomist and analyzed within 2 hours using a single analyzer. Before each batch analysis, the instrument quality controls were performed using the same lots of reagents. Results.—Within-subject (CVI) and between-subjects (CVG) biological variations for numerical parameters are smaller than previously reported. Cell population data have much smaller overall CVI and CVG compared to numerical parameters, suggesting that these parameters are less variable around the homeostatic set point intraindividually and interindividually. Index of individuality (ratio of CVI/CVG) for CPD was low. In addition, intraday and interday biological variations of all parameters are fairly constant. Conclusions.—These observations are clinically valuable. Data on CVI and analytical precision may be used to generate objective delta-check values for use in quality management. Comparing CVI and CVG on CPD may allow us to decide the utility of traditional population-based reference ranges. Documentation of CPD on biological variations is an essential prerequisite in the development of any new application clinically.

scholarly journals Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Shabbir Syed-Abdul ◽  
Rianda-Putra Firdani ◽  
Hee-Jung Chung ◽  
Mohy Uddin ◽  
Mina Hur ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cell Population ◽  
Population Data ◽  
Hematologic Malignancies
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