Literature DB >> 20533390

Evaluation of an 8-color flow cytometric reference method for white blood cell differential enumeration.

Sindhu Cherian1, Greg Levin, Wing Yin Lo, Megan Mauck, Donald Kuhn, Crystol Lee, Brent L Wood.   

Abstract

BACKGROUND: Manual microscopy is the current reference method for white blood cell (WBC) differential counts. However, manual counts are time and labor intensive, difficult in patients with low WBC counts, and can misclassify cells having difficult morphology. We investigated an 8-color, single-tube, lyse no-wash flow cytometric method to perform an extended 8-part differential as a potential replacement reference method for WBC differential enumeration.
METHODS: Whole blood was stained using a panel of antibodies including CD45APC-Cy7, CD16+CD19FITC, CD33+CD64PE-Cy5, CD123PE, HLA-DRPE-Cy7, CD34+CD117APC, and CD38A594 with the membrane permeant DNA binding dye Hoechst 34580 to generate an 8-part differential (lymphocytes, granulocytes, monocytes, eosinophils, basophils, immature granulocytes, blasts, and nucleated RBCs) using TruCount beads to generate absolute counts for all populations. Manual and instrument differentials were generated for 300 blood samples ranging from normal to complex. Results were compared with the flow cytometric differential.
RESULTS: The flow cytometric WBC and differential correlated well with the Sysmex XE2100 hematology analyzer and gave comparable results to the manual differential. Areas of greatest discordance included enumeration of populations present at low numbers and misclassification of cells with unusual morphology by the manual method. This study describes a novel single-tube flow cytometric method for performing a WBC count and 8-part differential that performs well with both normal and difficult patient samples. These findings confirm the results of prior studies supporting the use of a flow cytometric differential as an improved reference method for the WBC differential and extend prior efforts by allowing positive identification of most cell populations. © 2010 International Clinical Cytometry Society.
Copyright © 2010 International Clinical Cytometry Society.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20533390     DOI: 10.1002/cyto.b.20529

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  10 in total

1.  Properties of human blood monocytes. I. CD91 expression and log orthogonal light scatter provide a robust method to identify monocytes that is more accurate than CD14 expression.

Authors:  Dorothy Hudig; Kenneth W Hunter; W John Diamond; Doug Redelman
Journal:  Cytometry B Clin Cytom       Date:  2013-10-08       Impact factor: 3.058

2.  Diagnostic validity of flow cytometry vs manual counting of polymorphonuclear leukocytes in spontaneous bacterial peritonitis.

Authors:  Heba Ahmed Osman; Sanaa Shaker Aly; Eman M Salah-Eldin; Muhammad Abbas El-Masry; Mohammed H Hassan
Journal:  J Clin Lab Anal       Date:  2018-01-31       Impact factor: 2.352

Review 3.  Profiling immunity to HIV vaccines with systems biology.

Authors:  Erica Andersen-Nissen; Antje Heit; M Juliana McElrath
Journal:  Curr Opin HIV AIDS       Date:  2012-01       Impact factor: 4.283

4.  Leukocyte-adjusted epigenome-wide association studies of blood from solid tumor patients.

Authors:  Scott M Langevin; E Andres Houseman; William P Accomando; Devin C Koestler; Brock C Christensen; Heather H Nelson; Margaret R Karagas; Carmen J Marsit; John K Wiencke; Karl T Kelsey
Journal:  Epigenetics       Date:  2014-03-26       Impact factor: 4.528

5.  Reliable, accurate determination of the leukocyte differential of leukopenic samples by using Hematoflow method.

Authors:  Yongjun Jo; Soo Hwa Kim; Kwangsang Koh; Jongmoon Park; Yang Bo Shim; Jihyang Lim; Yonggoo Kim; Yeon-Joon Park; Kyungja Han
Journal:  Korean J Lab Med       Date:  2011-06-28

6.  Prognostic significance of leukopenia during the induction phase in adult B cell acute lymphoblastic leukemia.

Authors:  Chongyun Xing; Bin Liang; Junqing Wu; Qianqian Yang; Gang Hu; Ye Yan; Yu Zhang; Songfu Jiang; Kang Yu; Jianhua Feng
Journal:  Cancer Manag Res       Date:  2018-03-28       Impact factor: 3.989

7.  In silico-labeled ghost cytometry.

Authors:  Masashi Ugawa; Yoko Kawamura; Keisuke Toda; Kazuki Teranishi; Hikari Morita; Hiroaki Adachi; Ryo Tamoto; Hiroko Nomaru; Keiji Nakagawa; Keiki Sugimoto; Evgeniia Borisova; Yuri An; Yusuke Konishi; Seiichiro Tabata; Soji Morishita; Misa Imai; Tomoiku Takaku; Marito Araki; Norio Komatsu; Yohei Hayashi; Issei Sato; Ryoichi Horisaki; Hiroyuki Noji; Sadao Ota
Journal:  Elife       Date:  2021-12-21       Impact factor: 8.140

8.  Single-color multitarget flow cytometry using monoclonal antibodies labeled with different intensities of the same fluorochrome.

Authors:  Joonhong Park; Kyungja Han
Journal:  Ann Lab Med       Date:  2012-04-18       Impact factor: 3.464

9.  Development and evaluation of a novel in-clinic automated hematology analyzer, ProCyte Dx, for canine erythrocyte indices, leukogram, platelet counts and reticulocyte counts.

Authors:  Yasuhito Fujino; Yoichi Nakamura; Hideaki Matsumoto; Kenjiro Fukushima; Masashi Takahashi; Koichi Ohno; Hajime Tsujimoto
Journal:  J Vet Med Sci       Date:  2013-07-01       Impact factor: 1.267

10.  Multi-Marker Immunofluorescent Staining and PD-L1 Detection on Circulating Tumour Cells from Ovarian Cancer Patients.

Authors:  Du-Bois Asante; Michael Morici; Ganendra R K A Mohan; Emmanuel Acheampong; Isaac Spencer; Weitao Lin; Paula van Miert; Samantha Gibson; Aaron B Beasley; Melanie Ziman; Leslie Calapre; Tarek M Meniawy; Elin S Gray
Journal:  Cancers (Basel)       Date:  2021-12-10       Impact factor: 6.639

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.