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Journal of Clinical Laboratory Analysis
Article . 2019 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Journal of Clinical Laboratory Analysis
Article
License: CC BY NC
Data sources: UnpayWall
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PubMed Central
Article . 2019
Data sources: PubMed Central
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Improvement of cell counting method for Neubauer counting chamber

Authors: Minghao Zhang; Lingui Gu; Peihua Zheng; Zhixin Chen; Xinqi Dou; Qizhong Qin; Xiaozhong Cai;

Improvement of cell counting method for Neubauer counting chamber

Abstract

Abstract Background We compared the cell counting accuracy of the conventional method and the improved method by using Neubauer counting chamber. Methods In the improved method, all the border cells were counted and then divided by two; while, in the conventional method, only border cells on the two boundaries (top and left) were counted. Results About 55.814% of the samples showed more accurate results by improved counting method, about 38.372% had more accurate results by conventional counting method, and about 5.814% were counted with similar counting error by both methods. The improved method had significantly smaller counting error than conventional method ( P < .05). The distribution ratio of the border cells was an independent factor for counting accuracy ( P < .05). Conclusion Together, the improved counting method can reduce the counting error of the Neubauer counting chamber to some extent, assess the distributing uniformity of border cells, and help to eliminate the samples with large differences in distribution.

Related Organizations
Keywords

Erythrocytes, Logistic Models, ROC Curve, Humans, Cell Count, Reference Standards, Research Articles

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
44
Top 10%
Top 10%
Top 10%
Green
gold