Literature DB >> 17474881

Continuing developments with the automated platelet count.

C Briggs1, P Harrison, S J Machin.   

Abstract

The four main procedures for platelet counting are: manual phase contrast microscopy, impedance, optical light scatter/fluorescence and flow cytometry. Early methods to enumerate platelets were inaccurate and irreproducible. The manual count is still recognized as the gold standard or reference method, and until very recently the calibration of platelet counts by the manufacturers of automated cell counters and quality control material was performed by this method. However, it is time-consuming and results in high levels of imprecision. The introduction of automated full blood counters using impedance technology resulted in a dramatic improvement in precision. However, impedance counts still have limitations as cell size analysis cannot discriminate platelets from other similar-sized particles. More recently, light scatter or fluorescence methods have been introduced for automated platelet counting, but there are still occasional cases where an accurate platelet count remains a challenge. Thus, there has been interest in the development of an improved reference procedure to enable optimization of automated platelet counting. This method utilizes monoclonal antibodies to platelet cell surface antigens conjugated to a suitable fluorophore. This permits the possible implementation of a new reference method to calibrate cell counters, assign values to calibrators, and to obtain a direct platelet count on a variety of pathological samples. In future, analysers may introduce additional platelet parameters; a reliable method to quantify immature or reticulated platelets would be useful.

Mesh:

Year:  2007        PMID: 17474881     DOI: 10.1111/j.1751-553X.2007.00909.x

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  17 in total

1.  Accuracy of Platelet Counting by Optical and Impedance Methods in Patients with Thrombocytopaenia and Microcytosis.

Authors:  Mohamed-Rachid Boulassel; Raya Al-Farsi; Sulaiman Al-Hashmi; Hamad Al-Riyami; Hammad Khan; Salam Al-Kindi
Journal:  Sultan Qaboos Univ Med J       Date:  2015-11-23

2.  Performance Evaluation of Fully Automated 5-Part Differential Hematology Analyzer ELite 580 (ERBA).

Authors:  Shanaz Khodaiji; Dia Mansukhani
Journal:  Indian J Hematol Blood Transfus       Date:  2021-03-16       Impact factor: 0.900

3.  Integrating Cell Phone Imaging with Magnetic Levitation (i-LEV) for Label-Free Blood Analysis at the Point-of-Living.

Authors:  Murat Baday; Semih Calamak; Naside Gozde Durmus; Ronald W Davis; Lars M Steinmetz; Utkan Demirci
Journal:  Small       Date:  2015-11-02       Impact factor: 13.281

4.  Estimating malaria parasite density: assumed white blood cell count of 10,000/μl of blood is appropriate measure in Central Ghana.

Authors:  Dennis Adu-Gyasi; Mohammed Adams; Sabastina Amoako; Emmanuel Mahama; Maxwell Nsoh; Seeba Amenga-Etego; Frank Baiden; Kwaku Poku Asante; Sam Newton; Seth Owusu-Agyei
Journal:  Malar J       Date:  2012-07-23       Impact factor: 2.979

5.  Malaria parasite density estimated with white blood cells count reference value agrees with density estimated with absolute in children less than 5 years in central ghana.

Authors:  Dennis Adu-Gyasi; Kwaku Poku Asante; Sam Newton; Sabastina Amoako; David Dosoo; Love Ankrah; George Adjei; Seeba Amenga-Etego; Seth Owusu-Agyei
Journal:  Malar Res Treat       Date:  2015-04-07

6.  Changes in novel haematological parameters following thermal injury: A prospective observational cohort study.

Authors:  R J Dinsdale; A Devi; P Hampson; C M Wearn; A L Bamford; J Hazeldine; J Bishop; S Ahmed; C Watson; J M Lord; N Moiemen; P Harrison
Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

7.  Evaluation of mouse red blood cell and platelet counting with an automated hematology analyzer.

Authors:  Teruko Fukuda; Eri Asou; Kimiko Nogi; Kazuo Goto
Journal:  J Vet Med Sci       Date:  2017-08-27       Impact factor: 1.267

8.  Compare the accuracy and precision of Coulter LH780, Mindray BC-6000 Plus, and Sysmex XN-9000 with the international reference flow cytometric method in platelet counting.

Authors:  Yi Sun; Zuojian Hu; Zhili Huang; Huaping Chen; Shanzi Qin; Zhong Jianing; Siyuan Chen; Xue Qin; Yi Ye; Chengbin Wang
Journal:  PLoS One       Date:  2019-05-24       Impact factor: 3.240

9.  Use of flow cytometry for high-throughput cell population estimates in brain tissue.

Authors:  Nicole A Young; David K Flaherty; David C Airey; Peter Varlan; Feyi Aworunse; Jon H Kaas; Christine E Collins
Journal:  Front Neuroanat       Date:  2012-07-11       Impact factor: 3.856

10.  Immature platelets and antiplatelet therapy response to aspirin in Kawasaki disease.

Authors:  Lei Pi; Di Che; Haifeng Long; Zhenzhen Fang; Jiawen Li; Shuyi Lin; Yunfeng Liu; Meiai Li; Lijuan Bao; Wenli Li; Yuan Zhang; Qiulian Deng; Techang Liu; Li Zhang; Xiaoqiong Gu
Journal:  Drug Des Devel Ther       Date:  2018-05-23       Impact factor: 4.162

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