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Dai Q, Peng L, Shi R. Spurious low WBC count in the WNR channel of Sysmex XN-9000 hematology analyzer in a case with leukocyte aggregation. Clin Chem Lab Med 2023; 61:e131-e133. [PMID: 36639149 DOI: 10.1515/cclm-2022-1308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/04/2023] [Indexed: 01/15/2023]
Affiliation(s)
- Qingkai Dai
- Department of Laboratory Medicine, Sichuan University West China Second University Hospital, Chengdu, P.R. China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, P.R. China
| | - Luyun Peng
- Department of Laboratory Medicine, Sichuan University West China Second University Hospital, Chengdu, P.R. China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, P.R. China
| | - Rui Shi
- Department of Laboratory Medicine, Sichuan University West China Second University Hospital, Chengdu, P.R. China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, P.R. China
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2
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Nguyen PC, Shugg C, Juneja S. Dysplastic eosinophils erroneously counted as neutrophils in the automated analyser. Int J Lab Hematol 2023; 45:141-142. [PMID: 36716705 DOI: 10.1111/ijlh.14026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/19/2023] [Indexed: 02/01/2023]
Affiliation(s)
- Phillip C Nguyen
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Department of Diagnostic Haematology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Clare Shugg
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Surender Juneja
- Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Department of Diagnostic Haematology, Royal Melbourne Hospital, Parkville, Victoria, Australia
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3
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Kaya Z, Kirkiz S, Özkurt ZN, Yagcı M, Kocak U. Analysis of bone marrow samples by the SYSMEX-XN20 hematology analyzer. Int J Lab Hematol 2023; 45:e47-e51. [PMID: 36437564 DOI: 10.1111/ijlh.13996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 11/10/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Zühre Kaya
- Department of Pediatric Hematology, Gazi University School of Medicine, Ankara, Turkey
| | - Serap Kirkiz
- Department of Pediatric Hematology, Gazi University School of Medicine, Ankara, Turkey
| | - Zübeyde Nur Özkurt
- Department of Adult Hematology, Gazi University School of Medicine, Ankara, Turkey
| | - Münci Yagcı
- Department of Adult Hematology, Gazi University School of Medicine, Ankara, Turkey
| | - Ulker Kocak
- Department of Pediatric Hematology, Gazi University School of Medicine, Ankara, Turkey
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4
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Fang K, Chen X, Dong Z, Xu P. Developing and validating a highly sensitive platelet clump detection model for the Sysmex haematology analyser. Ann Clin Biochem 2023; 60:126-135. [PMID: 36653307 DOI: 10.1177/00045632231154782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Mainstream haematology analysers (HAs) are reported to have low detection sensitivity for platelet clumps. In this study, a deep learning (DL) algorithm, convolutional neural network (CNN), was implemented to detect platelet clumps. METHODS Adenosine diphosphate (ADP) was used to induce platelet aggregation to mimic platelet clumps detected (PCD) samples. Six types of leukocyte scattergrams were collected from the Sysmex XN-10. Then, multiple CNNs were trained and validated by scattergrams in a fivefold cross-validation (CV) method. Finally, the CNN model with the best CV accuracy was tested with practical routine work samples. RESULTS A total of 386 samples (190 PCD and 196 negative samples) and 4253 samples (150 PCD and 4103 negative samples) were eligible for CNN training and practical test, respectively. The CNN with the highest CV accuracy was trained by using scattergrams of side scatter (SSC) vs. forward scatter (FSC) from the white count and nucleated red blood cells (WNR) channel, whose mean area under the curve (AUC), accuracy, specificity and sensitivity were 0.968, 0.940, 0.937 and 0.942, respectively, in the CV. In the practical test, the AUC, accuracy, specificity and sensitivity of the CNN were 0.916, 0.961, 0.860 and 0.965, respectively. The dispersed spots presenting around the leucocytes in the WNR channel may be a sign of platelet clumping. CONCLUSIONS This study demonstrates that the CNN algorithms can identify platelet clumps based on optical information from dedicated leukocyte channels and has a higher ability to detect platelet clumps than the XN-10 device's internal algorithm under practical circumstances.
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Affiliation(s)
- Kui Fang
- 232834The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiling Chen
- 232834The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Zheqing Dong
- 232834The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Peng Xu
- 232834The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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5
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NEUT-SFL in Patients with COVID-ARDS: A Novel Biomarker for Thrombotic Events? DISEASE MARKERS 2021; 2021:4361844. [PMID: 34840629 PMCID: PMC8612800 DOI: 10.1155/2021/4361844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 09/24/2021] [Accepted: 10/23/2021] [Indexed: 11/25/2022]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an enveloped RNA virus first identified in December 2019 in Wuhan, China, and responsible for coronavirus disease 2019 (COVID-19). The ongoing COVID-19 pandemic is impacting healthcare worldwide. Patients who develop coagulopathy have worse outcomes. The pathophysiology of COVID-19 suggests a strong interplay between hemostasis and immune cells, especially neutrophils. Our purpose was to assess neutrophil fluorescence as a potential biomarker of deep vein thrombosis (DVT) in patients with COVID-acute respiratory distress syndrome (COVID-ARDS). Sixty-one patients with COVID-ARDS admitted to the four intensive care units (ICUs) of a French general hospital were included in this prospective study. Neutrophil activation was assessed by measuring neutrophil fluorescence (NEUT-Side Fluorescence Light, NEUT-SFL) with a specific fluorescent dye staining analyzed by a routine automated flow cytometer Sysmex XN-3000™ (Sysmex, Kobe, Japan). DVT was diagnosed by complete duplex ultrasound (CDU). We found that NEUT-SFL was elevated on admission in patients with COVID-ARDS (49.76 AU, reference value 46.40 AU, p < 0.001), but did not differ between patients with DVT (49.99 AU) and those without (49.52 AU, p = 0.555). NEUT-SFL is elevated in patients with COVID-ARDS, reflecting neutrophil activation, but cannot be used as a marker of thrombosis. Because neutrophils are at interface between immune response and hemostasis through release of neutrophil extracellular traps, monitoring their activation could be an interesting approach to improve our management of coagulopathy during COVID-ARDS. Further research is needed to better understand the pathophysiology of COVID-19 and identify high-performance biomarkers.
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6
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Blomme S, Boeckx N, Brusselmans C, Claerhout H, Van Laer C. The integration of Sysmex XN-9100' WPC channel reflex testing in the detection of reactive versus malignant blood samples. Int J Lab Hematol 2020; 43:191-198. [PMID: 33001578 DOI: 10.1111/ijlh.13352] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 07/30/2020] [Accepted: 09/08/2020] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Sysmex XN-9100™ (Sysmex, Kobe, Japan) system has an optional White Progenitor Cell (WPC) channel. While the White Differentiation (WDF) channel reports a combined flag for blasts/abnormal lymphocytes, WPC channel specifies flagging into a separate flag for each cell type or removes the flag entirely. Aim of this study was to evaluate the added value of this WPC channel in the detection of malignant samples. METHODS Routine blood samples analyzed on Sysmex XE-5000 with flagging for either blasts, abnormal lymphocytes, or atypical lymphocytes (n = 630) were selected for testing on Sysmex XN-9100, resulting in a reflex WPC analysis in 420 samples. All samples were microscopically evaluated with DI-60 digital cell imaging analyzer. RESULTS WPC reflex testing resulted in a suspect flag ("blasts" and/or "abnormal lymphocytes") in 334 samples, which was confirmed microscopically in 38% (128/334). In all true positive samples, WPC correctly classified the initial WDF flag in either "blasts" flag or "abnormal lymphocytes?" flag in 75%. Only 12% (50/420) of WDF "blasts/abnormal lymphocytes" positive samples became negative after WPC reflex testing. Subgroup analysis showed differences between the "pediatric" versus "adult" groups and the "hematological/chemotherapy" versus "nonhematological/nonchemotherapy" groups in specificity and smear reduction. CONCLUSION Overall, WPC reflex testing showed good sensitivity (99%); however, the specificity remains poor (29%). Using reflex WPC to the WDF channel resulted in a 12% reduction of the smear review rate. Although the WPC channel offers different interesting advantages, additional topics and a specific workflow should be applied to optimize the use of this channel.
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Affiliation(s)
- Siska Blomme
- Clinical Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Nancy Boeckx
- Clinical Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.,Departement of Oncology, KU Leuven, Leuven, Belgium
| | - Caroline Brusselmans
- Clinical Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Helena Claerhout
- Clinical Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Christine Van Laer
- Clinical Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.,Departement of Cardiovascular Sciences, Center for Molecular and Vascular Biology, KU Leuven, Leuven, Belgium
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Pimentel AM, Vilas-Boas CC, Vilar TS, Nascimento-Carvalho CM. The Negative Predictive Ability of Immature Neutrophils for Bacteremia in Children With Community-Acquired Infections. Front Pediatr 2020; 8:208. [PMID: 32435627 PMCID: PMC7218047 DOI: 10.3389/fped.2020.00208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 04/07/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Bacteremia is a serious condition. We aimed to assess the role of immature neutrophils in peripheral blood smears for prediction of bacteremia in children. Methods: In this cross-sectional study conducted in Salvador, Brazil, blood cultures collected from patients aged ≤18 years were identified. White Blood Cell count (WBC) was performed upon admission. Medical charts were reviewed and cases from the community were included. Results: Out of 833 potentially eligible patients, 263 (31.6%) were excluded. Therefore, the study group comprised 570 patients being blood collected for culture upon admission from all of them and WBC performed upon admission from 566. The median age was 2 years (IQR: 9.4 mo-5 y) and 300 (52.6%) were male. Acute respiratory infection was the most frequent diagnosis (n = 388; 68.1%), being 250 (43.9%) lower (LRTI) and 138 (24.2%) upper respiratory tract infections. Blood culture was positive in 9 (1.6%; 95% CI: 0.8-2.9%) cases, out of which 7 (2.8%) had LRTI. Streptococcus pneumoniae (n = 3), Haemophilus (n = 2), Neisseria meningitidis, viridans streptococci, Streptococcus agalactiae, and Acinetobacter baumanii (n = 1 each) were isolated. The total WBC/mm3 did not differ when children with positive or negative blood culture were compared (12,100 [IQR: 6,950-15,250] vs. 11,000 [IQR: 7,900-14,900]; P = 0.9). However, presence of any immature neutrophil was significantly more frequent among patients with bacteremia in comparison with patients without bacteremia (100% [9/9] vs. 40% [223/557]; P < 0.001). The absolute number of immature neutrophils was significantly lower among children without bacteremia (0 [IQR: 0-259] vs. 325 [IQR: 275-1,106]; P < 0.001). Overall, the area under the ROC curve of the number of immature neutrophils in regard to bacteremia was 0.82 (95% CI: 0.76-0.88; P = 0.001). Among 413 patients with absolute number of immature neutrophils <242/mm3, none had bacteremia; among 153 patients with absolute number of immature neutrophils ≥242/mm3, 9 (5.9%) had bacteremia. Absolute number of immature neutrophils ≥242/mm3 showed: sensitivity 100% (95% CI: 71.7-100%), specificity 74.1% (95% CI: 70.4-77.7%), negative predictive value 100% (95% CI: 99.3-100.0%), and positive predictive value 5.9% (95% CI: 2.9-10.5%). When only children with LRTI were analyzed, the results were similar. Conclusion: The absolute number of immature neutrophils in peripheral blood smear is a potential tool to rule out bacteremia among children with community-acquired infections.
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Affiliation(s)
- Alexandre M Pimentel
- Bahiana School of Medicine, Bahiana Foundation for Science Development, Salvador, Brazil
| | - Caroline C Vilas-Boas
- Post-graduation Program in Health Sciences, Federal University of Bahia School of Medicine, Salvador, Brazil
| | - Ticiana S Vilar
- Department of Pediatrics, Federal University of Bahia School of Medicine, Salvador, Brazil
| | - Cristiana M Nascimento-Carvalho
- Post-graduation Program in Health Sciences, Federal University of Bahia School of Medicine, Salvador, Brazil.,Department of Pediatrics, Federal University of Bahia School of Medicine, Salvador, Brazil
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8
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Kim HN, Hur M, Kim H, Park M, Kim SW, Moon HW, Yun YM. Comparison of three staining methods in the automated digital cell imaging analyzer Sysmex DI-60. ACTA ACUST UNITED AC 2018; 56:e280-e283. [DOI: 10.1515/cclm-2018-0539] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 05/29/2018] [Indexed: 11/15/2022]
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9
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Kim HN, Hur M, Kim H, Kim SW, Moon HW, Yun YM. Performance of automated digital cell imaging analyzer Sysmex DI-60. Clin Chem Lab Med 2017; 56:94-102. [PMID: 28672770 DOI: 10.1515/cclm-2017-0132] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 05/01/2017] [Indexed: 12/18/2022]
Abstract
BACKGROUND The Sysmex DI-60 system (DI-60, Sysmex, Kobe, Japan) is a new automated digital cell imaging analyzer. We explored the performance of DI-60 in comparison with Sysmex XN analyzer (XN, Sysmex) and manual count. METHODS In a total of 276 samples (176 abnormal and 100 normal samples), white blood cell (WBC) differentials, red blood cell (RBC) classification and platelet (PLT) estimation by DI-60 were compared with the results by XN and/or manual count. RBC morphology between pre-classification and verification was compared according to the ICSH grading criteria. The manual count was performed according to the Clinical and Laboratory Standards Institute guidelines (H20-A2). RESULTS The overall concordance between DI-60 and manual count for WBCs was 86.0%. The agreement between DI-60 pre-classification and verification was excellent (weighted κ=0.963) for WBC five-part differentials. The correlation with manual count was very strong for neutrophils (r=0.955), lymphocytes (r=0.871), immature granulocytes (r=0.820), and blasts (r=0.879). RBC grading showed notable differences between DI-60 and manual counting on the basis of the ICSH grading criteria. Platelet count by DI-60 highly correlated with that by XN (r=0.945). However, DI-60 underestimated platelet counts in samples with marked thrombocytosis. CONCLUSIONS The performance of DI-60 for WBC differential, RBC classification, and platelet estimation seems to be acceptable even in abnormal samples with improvement after verification. DI-60 would help optimize the workflow in hematology laboratory with reduced manual workload.
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Da Rin G, Vidali M, Balboni F, Benegiamo A, Borin M, Ciardelli ML, Dima F, Di Fabio A, Fanelli A, Fiorini F, Francione S, Germagnoli L, Gioia M, Lari T, Lorubbio M, Marini A, Papa A, Seghezzi M, Solarino L, Pipitone S, Tilocca E, Buoro S. Performance evaluation of the automated nucleated red blood cell count of five commercial hematological analyzers. Int J Lab Hematol 2017; 39:663-670. [PMID: 28990291 DOI: 10.1111/ijlh.12722] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Accepted: 06/26/2017] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Recent automated hematology analyzers (HAs) can identify and report nucleated red blood cells (NRBC) count as a separate population out of white blood cells (WBC). The aim of this study was to investigate the analytical performances of NRBC enumeration on five top of the range HAs. METHODS We evaluated the within-run and between-day precision, limit of blank (LoB), limit of detection (LoD), and limit of quantitation (LoQ) of XE-2100 and XN-module (Sysmex), ADVIA 2120i (Siemens), BC-6800 (Mindray), and UniCel DxH 800 (Beckman Coulter). Automated NRBC counts were also compared with optical microscopy (OM). RESULTS The limits of detection for NRBC of the BC-6800, XN-module, XE-2100, UniCel DxH 800, and ADVIA 2120i are 0.035×109 /L, 0.019×109 /L, 0.067×109 /L, 0.038×109 /L, and 0.167×109 /L, respectively. Our data indicated excellent performance in terms of precision. The agreement with OM was excellent for BC-6800, XN-module, and XE-2100 (Bias 0.023, 0.019, and 0.033×109 /L, respectively). ADVIA 2120i displayed a significant constant error and UniCel DxH 800 both proportional and small constant error. CONCLUSION Regards to NRBC counting, the performances shown by BC-6800, XN-module, and XE-2100 are excellent also a low count, ADVIA 2120i and UniCel DxH 800 need to be improved.
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Affiliation(s)
- G Da Rin
- Laboratory Medicine, San Bassiano Hospital, ASL 7 Pedemontana, Bassano del Grappa, Italy
| | - M Vidali
- Immunohematology and Transfusion Medicine Service, Hospital SS. Trinità, Borgomanero, Italy
| | - F Balboni
- Laboratory Medicine, Istituto Fiorentino di Cura e Assistenza (IFCA), Firenze, Italy
| | - A Benegiamo
- Laboratory of Clinical Chemistry and Hematology, Hospital of Parma, Parma, Italy
| | - M Borin
- Clinical Chemistry Laboratory and Microbiology, ASL NO, Borgomanero, Italy
| | - M L Ciardelli
- Clinical Chemistry Laboratory, IRCCS Policlinico San Matteo, Pavia, Italy
| | - F Dima
- Clinical Chemistry Laboratory, AOUI Verona, Verona, Italy
| | - A Di Fabio
- Clinical Chemistry Laboratory, Hospital Civile, Avezzano, Italy
| | - A Fanelli
- General Laboratory, University Hospital Careggi, Firenze, Italy
| | - F Fiorini
- Clinical Pathology Laboratory, USL Nordovest, Toscana, Italy
| | - S Francione
- Clinical Chemistry Laboratory and Microbiology, ASL NO, Borgomanero, Italy
| | | | - M Gioia
- Clinical Chemistry Laboratory, Hospital Abele Ajello, Mazara del Vallo, Italy
| | - T Lari
- Clinical Chemistry Laboratory, Hospital Versilia, Azienda Toscana Nord ovest, Lido di Camaiore, Italy
| | - M Lorubbio
- Laboratory Medicine, Fondazione G. Monasterio CNR Regione Toscana, Pisa, Italy
| | - A Marini
- Clinical Chemistry Laboratory, Hospital Versilia, Azienda Toscana Nord ovest, Lido di Camaiore, Italy
| | - A Papa
- Laboratory Medicine, Fondazione G. Monasterio CNR Regione Toscana, Pisa, Italy
| | - M Seghezzi
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - L Solarino
- Laboratory Medicine I, P.O. V.Emanuele, A.U.O "Policlinico-V.Emanuele", Catania, Italy
| | - S Pipitone
- Laboratory of Clinical Chemistry and Hematology, Hospital of Parma, Parma, Italy
| | - E Tilocca
- Laboratory Medicine I, P.O. V.Emanuele, A.U.O "Policlinico-V.Emanuele", Catania, Italy
| | - S Buoro
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
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11
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Buoro S, Manenti B, Seghezzi M, Dominoni P, Vavassori M, Trezzi R, Galli M, Finazzi G. Abnormal leukocyte scattergrams and immature platelet fraction on Sysmex XN-9000 analyzer: a new diagnostic tool for altered megakaryopoiesis? Scandinavian Journal of Clinical and Laboratory Investigation 2016; 77:73-75. [DOI: 10.1080/00365513.2016.1262057] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Sabrina Buoro
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Barbara Manenti
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Michela Seghezzi
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Paola Dominoni
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Mauro Vavassori
- Clinical Chemistry Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Rosangela Trezzi
- Pathology Laboratory, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Monica Galli
- Haematology Unit, Hospital Papa Giovanni XXIII, Bergamo, Italy
| | - Guido Finazzi
- Haematology Unit, Hospital Papa Giovanni XXIII, Bergamo, Italy
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12
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Jo SY, Park SH, Kim IS, Yi J, Kim HH, Chang CL. Performance evaluation of recently launched Sysmex XN-550 Automatic Hematology Analyzer. Int J Lab Hematol 2016; 39:e4-e9. [PMID: 27566446 DOI: 10.1111/ijlh.12571] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- S Y Jo
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - S H Park
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Hospital, Busan, Korea.,Biomedical Research Institute, Pusan National University Hospital, Busan, Korea
| | - I-S Kim
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - J Yi
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Hospital, Busan, Korea.,Biomedical Research Institute, Pusan National University Hospital, Busan, Korea
| | - H-H Kim
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Hospital, Busan, Korea.,Biomedical Research Institute, Pusan National University Hospital, Busan, Korea
| | - C L Chang
- Department of Laboratory Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea
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