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Nima Aghaeepour

Researcher at Stanford University

Publications -  148
Citations -  5064

Nima Aghaeepour is an academic researcher from Stanford University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 27, co-authored 103 publications receiving 3402 citations. Previous affiliations of Nima Aghaeepour include Baxter International & BC Cancer Agency.

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Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

Andrea Cossarizza, +462 more
- 01 Oct 2019 - 
TL;DR: These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community providing the theory and key practical aspects offlow cytometry enabling immunologists to avoid the common errors that often undermine immunological data.
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Critical assessment of automated flow cytometry data analysis techniques

Nima Aghaeepour, +6 more
- 01 Mar 2013 - 
TL;DR: Several methods performed well as compared to manual gating or external variables using statistical performance measures, which suggests that automated methods have reached a sufficient level of maturity and accuracy for reliable use in FCM data analysis.
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An immune clock of human pregnancy.

Nima Aghaeepour, +26 more
- 01 Sep 2017 - 
TL;DR: These findings unravel the precise timing of immunological events occurring during a term pregnancy and provide the analytical framework to identify immunological deviations implicated in pregnancy-related pathologies.
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Hematopoietic Stem Cell Subtypes Expand Differentially during Development and Display Distinct Lymphopoietic Programs

Claudia Benz, +14 more
- 02 Mar 2012 - 
TL;DR: It is shown that both hematopoietic stem cells subtypes are present in the fetal liver with the rarer, lymphoid-deficient HSCs immediately gaining an increased representation in the Fetal bone marrow, suggesting that the marrow niche plays a key role in regulating their ensuing preferential amplification.
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Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium

Greg Finak, +36 more
- 10 Feb 2016 - 
TL;DR: Standardization of immunophenotyping requires careful attention to reagents, sample handling, instrument setup, and data analysis, and is essential for successful cross-study and cross-center comparison of data.