Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

[Flow cytometry].

Authors: K, Nakahara;

[Flow cytometry].

Abstract

Recently, flow-cytometric analysis has become the most popular type of cell-surface marker examination and it is particularly indispensable in diagnosing hematological disorders such as leukemia. Since diagnosis becomes more reliable using monoclonal antibodies, cell-surface marker analysis contributes greatly to the diagnosis of hematological disorders. In particular in lymphocytic leukemias, immunological classification becomes possible and since this classification has a close relation to pathophysiology and prognosis, it is very useful in diagnosing and treating patients with lymphocytic leukemia. Attempts at quantitative analysis of cell-surface antigens and expected benefits such as improved detail are also described. Additionally the standardization of cell-surface analysis using flow-cytometry is discussed.

Related Organizations
Keywords

Antigens, Surface, Antibodies, Monoclonal, Humans, Flow Cytometry, Hematologic Diseases

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
0
Average
Average
Average
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!