Go to content
UR Home

Analyzing flowcytometric fluorescence signals with neural nets: Classification of fluorescence labeled blood cells with self-organizing neural nets

Jäger, O. and Ziegaus, Ch. and Bauer, Ch. and Lang, Elmar (2000) Analyzing flowcytometric fluorescence signals with neural nets: Classification of fluorescence labeled blood cells with self-organizing neural nets. Verhandlungen der Deutschen Physikalischen Gesellschaft. Reihe 6 35.

Full text not available from this repository.


Export bibliographical data



Item type:Article
Date:2000
Additional Information (public):Refereed Extended Abstract
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Dewey Decimal Classification:500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Unknown
Deposited on:28 Sep 2010 07:00
Last modified:28 Sep 2010 07:00
Item ID:16765
Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons