Evaluation and comparison of automated hematology analyzer, flow cytometry, and digital morphology analyzer for monocyte counting

2018 ◽  
Vol 40 (5) ◽  
pp. 577-585 ◽  
Author(s):  
S. Buoro ◽  
V. Moioli ◽  
M. Seghezzi ◽  
G. Previtali ◽  
M. G. Alessio ◽  
...  
2003 ◽  
Vol 127 (1) ◽  
pp. e4-e10
Author(s):  
Kaoru Tohyama ◽  
Shuichi Shiga ◽  
Hiroyuki Fujimoto ◽  
Yukio Hamaguchi ◽  
Satoshi Ichiyama

Abstract During differentiation-induction therapy of acute promyelocytic leukemia (APL) patients with all-trans retinoic acid (ATRA), a variety of APL-derived bizarre granulocytic cells appear in the peripheral blood. To evaluate the differentiation induction of leukemic cells, we have developed a new scattergram analyzing program with an automated hematology analyzer and compared the data with the flow cytometry measuring the expression of differentiation-associated cell surface antigens, CD11b and CD16. We used the fluorescence intensity and side scatter as parameters of granulocytic maturation in the analysis with the automated hematology analyzer. The analysis of 2 ATRA-treated APL patients and in vitro study using HL-60 cells demonstrated that the levels of fluorescence intensity and side scatter decreased as accompanied with granulocytic maturation, and these changes were parallel with the results of flow cytometry. Our automated scattergram analysis of cell differentiation will contribute to general, objective, and real-time evaluation of differentiation-induction therapy of APL with ATRA.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3688-3688
Author(s):  
Taha Bat ◽  
Eunice S. Wang ◽  
Joanne Becker ◽  
Orla Maguire ◽  
Hans Minderman ◽  
...  

Background:It is known that platelets interact with tumors to support malignant cell growth and stimulate epithelial to mesenchymal transition (Li, et al. "The Role of Platelets in Tumor Growth, Metastasis, and Immune Evasion", Platelets, pp. 547-561, Academic Press, 2019). P-selectin which is secreted from alpha granules has been implicated as the major perpetrator of this tumor cell and platelet communication. (Kim et al, PNAS 95(16): 9325-9330, 1998). Higher numbers of alpha granules are found in newly released young platelets from megakaryocytes, also known as pre-platelets, than mature platelets. Given their potential role in cancer metastasis, the ability to identify and isolate pre-platelets from mature plateletsforassessment of overall functionality and biology is important. Of note, identification and measurement of pre-platelets based on higher RNA content has been in clinical use for various clinical conditions for several years. Here we evaluated the feasibility of identifying and sorting pre-platelets by flow cytometric analyses in multiple platelet apheresis samples from heathy donors. Study Design and Methods Apheresis samples from adult healthy donors at Roswell Park Comprehensive Cancer Center were obtained and analyzed in accordance with an IRB approved protocol. Platelets sampled from apheresis products were collected with the use of an apheresis device known to yield a leuko-reduced platelet concentrate. All components were irradiated with 2500 cGy immediately after the collection and stored on platelet agitator at 22°C. A 4 mL aliquot was withdrawn from each bag for sorting essays.Pre-platelets were distinguished from mature platelets based on the presence of higher RNA levels. The cell permeant RNA dye TO (BD Biosciences, San Jose, CA) was used to identify pre-plapletes by flow cytometry according to published protocol (Ando et al Blood97 (4): p915-921, 2001).The optimal concentration of TO dye was determined by titration at decreasing dilutions and acquisition on a LSR-II flow cytometer (BD Biosciences, San Jose, CA). Confirmation of flow cytometry-based assay was determined by processing 5 healthy donor whole blood samples by both flow cytometry and using an XE-5000 automated hematology analyzer (Sysmex America, Mundelein, IL). The percentage of pre-platelets was measured as a percent of total platelets by both techniques. Platelet sorting was performed on 12 leuko-reduced apheresis platelet products on a FACSAria II (BD Biosciences, San Jose, CA). Platelets were identified by co-staining with CD41a. Platelet activation was assessed before and after sorting based on P-selectin (CD62P) surface expression. Flow cytometry analysis was performed using FCSExpress v6. Results: We determined that flow cytometric sorting of pre-platelets optimally required TO (0.5 µg/mL) for optimal staining for gating of pre-platelets. A two way, paired simple t test resulted in a p value of 0.09 when compared to standard gating strategy per XE-5000 automated hematology analyzer. Among all 14 samples evaluated, the percentage of preplatelet to apheresis sample pre-platelet ratio was estimated between 2.8% to 8.2%. Interestingly P-selectin ratio of pre-platelets was significantly higher than mature platelets (median: 67% vs 52%). ConclusionThis study is the first to demonstrate the feasibility of identifying and sorting pre-platelets using a novel flow cytometric method with TO staining. Isolation of these rare platelet precursor cells (pre-platelets) with known higher P-selectin expression are an essential first step to understanding the potential pre-eminent role of these cells in cancer evasion and metastasis. Disclosures Wang: Abbvie: Other: Advisory role; Kite: Other: Advisory role; Jazz: Other: Advisory role; Astellas: Other: Advisory role, Speakers Bureau; celyad: Other: Advisory role; Pfizer: Other: Advisory role, Speakers Bureau; Stemline: Other: Advisory role, Speakers Bureau; Daiichi: Other: Advisory role; Amgen: Other: Advisory role; Agios: Other: Advisory role.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Said Incir ◽  
Kerim Erhan Palaoglu

AbstractObjectivesWe performed a verification study of the Sysmex XN-3100 hematology analyzer in comparison with the XE-2100 according to the guidelines of the Clinical and Laboratory Standards Institute (CLSI) and the International Council for Standardization in Hematology (ICSH).Materials and methodsBlood samples and quality control materials were used for precision. For comparison, we used the current XE-2100 as the comparative method and analyzed 540 blood samples. The Passing-Bablok and Bland-Altman tests were performed according to the CLSI EP09-A3 and a carryover study was performed according to the CLSI H26-A2 guidelines. The flagging performance of the two analyzers was compared, using two experienced laboratory technicians as the reference method.ResultsThe Sysmex XN-3100 demonstrated high levels of precision for most parameters. For the comparison analysis, all parameters, except for MCHC, monocytes and basophils were within the systematic error limits of desirable biological variability criterion (SeDBV). The carryover was less than 0.4% for all parameters. The flagging performance of the XN-3100 was satisfactory and the overall efficiency was high.ConclusionsThe XN-3100 not only showed a strong correlation and agreement with the XE-2100 but also displayed a comparable analytical sensitivity, and increased specificity, which may result in an improved turnaround time and throughpu.


2012 ◽  
Vol 27 (5) ◽  
pp. 302-303
Author(s):  
P. Nguyen ◽  
P. Vancles ◽  
L. Rozen ◽  
D. Noubouossie ◽  
A. Demulder

2013 ◽  
Vol 66 (12) ◽  
pp. 859-862
Author(s):  
Hitoshi ANO ◽  
Takuji WAKATSUKI ◽  
Tetsuo NASU ◽  
Mitsuyoshi HAGIO ◽  
Hiromu KATAMOTO

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