Statistical identification of subpopulations for flow cytometric data

Jean E. Weber; Peter H. Bartels

doi:10.1117/12.17806

1 July 1990 Statistical identification of subpopulations for flow cytometric data

Jean E. Weber, Peter H. Bartels

Author Affiliations +

Proceedings Volume 1206, New Technologies in Cytometry and Molecular Biology; (1990) https://doi.org/10.1117/12.17806
Event: OE/LASE '90, 1990, Los Angeles, CA, United States

Abstract

Identification of cell subpopulations is of interest in the context of both flow cytometry and image analysis. Flow cytometry makes it possible to examine very large cell populations rapidly and to record a measurement vector for each cell. Thus flow cytometry, as a methodology, is ideally suited to the identification of small subpopulations of cells, which is particularly of interest in analyzing lymphoid cell populations.

Citation Download Citation

Jean E. Weber and Peter H. Bartels "Statistical identification of subpopulations for flow cytometric data", Proc. SPIE 1206, New Technologies in Cytometry and Molecular Biology, (1 July 1990); https://doi.org/10.1117/12.17806

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE