Performance Evaluation of the Complete Blood Count and White Blood Cell Differential Parameters Obtained Using a Celltack F Automated Hematology Analyzer

2004 ◽  
Vol 10 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Hiroshi Kondo ◽  
Toshiyuki Akiyama ◽  
Noriyuki Tatsumi ◽  
Yutaka Nagai
Keyword(s):  
Performance Evaluation ◽  
Blood Cell ◽  
White Blood Cell ◽  
Blood Count ◽  
Complete Blood Count ◽  
Hematology Analyzer ◽  
Automated Hematology Analyzer

scholarly journals M2G1G2 white blood cell flag by three-part automated hematology analyzer: A hint to dengue infection in appropriate clinical context

2019 ◽  
Vol 11 (02) ◽  
pp. 103-106
Author(s):  
Maitrayee Roy ◽  
Akshay Bali
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Complete Blood Count ◽  
Hematological Parameters ◽  
Dengue Infection ◽  
Blood Film ◽  
Clinical Context ◽  
Normal Limits ◽  
Hematology Analyzer ◽  
Automated Hematology Analyzer

Abstract BACKGROUND: Automated hematology analyzers often generate many flags which can provide important clues to the underlying hematological abnormality. Although pathologists are generally well versed in recognizing the importance of flags indicating potential leukemic blasts, their utility in hinting toward infectious etiology, especially during epidemics, is less well known. We analyzed any abnormal flags generated by a three-part automated hematology analyzer in serologically confirmed cases of dengue. MATERIALS AND METHODS: The study included 28 patients diagnosed with serologically confirmed dengue infection. The venous samples were run on ABX Miros-60 three-part hematology analyzer. The complete blood count data and any abnormal flags were noted and correlated with peripheral blood film findings in all patients. RESULTS: An abnormal white blood cell (WBC) flag was noted in all 28 patients, including two in whom all other hematological parameters were within normal limits. In 26 (93%) patients, M2G1G2 WBC flag was noted while the samples of the remaining two patients generated M2G1 and L1M2G1G2 WBC flags, respectively. CONCLUSION: An abnormal WBC flag, when correlated in appropriate clinical context, especially during a dengue outbreak, can aid in targeting the cohort of patients who will require immediate referral for serological confirmation.

scholarly journals A Novel Automated Slide-Based Technology for Visualization, Counting, and Characterization of the Formed Elements of Blood: A Proof of Concept Study

2017 ◽  
Vol 141 (8) ◽  
pp. 1107-1112 ◽  
Author(s):  
James W. Winkelman ◽  
Milenko J. Tanasijevic ◽  
David J. Zahniser
Keyword(s):  
Image Analysis ◽  
Blood Cell ◽  
White Blood Cell ◽  
Blood Count ◽  
Complete Blood Count ◽  
Differential Count ◽  
Preparation Technique ◽  
Proof Of Concept ◽  
New Instrument ◽  
Prototype Instrument

Context.— A novel automated slide-based approach to the complete blood count and white blood cell differential count is introduced. Objective.— To present proof of concept for an image-based approach to complete blood count, based on a new slide preparation technique. A preliminary data comparison with the current flow-based technology is shown. Design.— A prototype instrument uses a proprietary method and technology to deposit a precise volume of undiluted peripheral whole blood in a monolayer onto a glass microscope slide so that every cell can be distinguished, counted, and imaged. The slide is stained, and then multispectral image analysis is used to measure the complete blood count parameters. Images from a 600-cell white blood cell differential count, as well as 5000 red blood cells and a variable number of platelets, that are present in 600 high-power fields are made available for a technologist to view on a computer screen. An initial comparison of the basic complete blood count parameters was performed, comparing 1857 specimens on both the new instrument and a flow-based hematology analyzer. Results.— Excellent correlations were obtained between the prototype instrument and a flow-based system. The primary parameters of white blood cell, red blood cell, and platelet counts resulted in correlation coefficients (r) of 0.99, 0.99, and 0.98, respectively. Other indices included hemoglobin (r = 0.99), hematocrit (r = 0.99), mean cellular volume (r = 0.90), mean corpuscular hemoglobin (r = 0.97), and mean platelet volume (r = 0.87). For the automated white blood cell differential counts, r values were calculated for neutrophils (r = 0.98), lymphocytes (r = 0.97), monocytes (r = 0.76), eosinophils (r = 0.96), and basophils (r = 0.63). Conclusions.— Quantitative results for components of the complete blood count and automated white blood cell differential count can be developed by image analysis of a monolayer preparation of a known volume of peripheral blood.

scholarly journals Evaluation Of Complete Blood Count Parameters To Predict Ovarian Torsion In Women With Adnexal Mass

2017 ◽  
pp. 1 ◽  
Author(s):  
Ahter T. Tayyar ◽  
Enis Özkaya ◽  
Çiğdem Abide Yayla ◽  
Mehmet Baki Şentürk ◽  
Selçuk Selçuk ◽  
...  
Keyword(s):  
Blood Cell ◽  
White Blood Cell ◽  
Neutrophil Count ◽  
Ovarian Cyst ◽  
Blood Count ◽  
Complete Blood Count ◽  
Adnexal Mass ◽  
Ovarian Torsion ◽  
Adnexal Torsion ◽  
Neutrophil Lymphocyte Ratio

<p><strong>Objective:</strong> The aim of this study was to evaluate complete blood count parameters to predict ovarian torsion in cases presented with ovarian mass.</p><p><strong>Study Design:</strong> Pre-operative demographic data and complete blood count parameters of 72 patients, who were operated on preliminary adnexal torsion and diagnosed as adnexal torsion with a benign ovarian cyst (Study group) were retrospectively compared with those of 77 patients who were operated with an indication of persistent benign ovarian cysts without torsion (control group) at Zeynep Kamil Women and Children’s Health Training and Research Hospital and Department of Obstetrics &amp; Gynecology at Erciyes University Medical Faculty between 2011 and 2015. Complete blood count parameters were utilized to predict ovarian torsion cases.</p><p><strong>Result:</strong> Neutrophil (AUC=792, P=&lt;0.001), white blood cell (AUC=787, P=&lt;0.001) counts and neutrophil/lymphocyte ratio (AUC=770, P=&lt;0.001) were significant predictors for adnexal torsion. Optimal cut off value for white blood cell, neutrophil count and neutrophil/lymphocyte ratio were 8.3x103 (72% sensitivity, 73% specificity), 5.5x103 (73% sensitivity, 76% specificity), 2.9 (73% sensitivity, 79% specificity) respectively.</p><p><strong>Conclusion:</strong> Among all the parameters white blood cell count, neutrophil/lymphocyte and neutrophil count were the most powerful predictors for real adnexal torsion cases. Simple blood count parameters detailed evaluation may help clinicians to confirm or rule out adnexal torsion in cases presented with ovarian cyst and adnexal mass.</p>

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