Einsatz der FT-IR-Mikrospektroskopie und multivariater Auswertealgorithmen zur Identifizierung und Klassifizierung von Tumorgeweben

Einsatz der FT-IR-Mikrospektroskopie und multivariater Auswertealgorithmen zur Identifizierung und Klassifizierung von Tumorgeweben

Das erste gestellte Ziel war es, die histologischen Strukturen eines Gewebedünnschnittes anhand der aufgenommenen FT-IR-Spektren sichtbar zu machen und diese mit dem konventionell gefärbten Schnitt und der autoradiographischen Aufnahme zu vergleichen. Dazu wurde ein Messsystem bestehend aus einem FT...

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Bibliographic Details
Main Author:	Richter, Tom
Other Authors:	Technische Universität Dresden, Mathematik und Naturwissenschaften, Chemie, Institut für Analytische Chemie
Format:	Doctoral Thesis
Language:	deu
Published:	Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2002
Subjects:	FCM FT-IR-Spektroskopie Klassifizierung PCA SIMCA Tumor FT-IR-Spectroscopy classification ddc:33 rvk:YR 2520 Hauptkomponentenanalyse Histologie Positronen-Emissions-Tomographie Tumorklassifikation
Online Access:	http://nbn-resolving.de/urn:nbn:de:swb:14-1031654874828-52789 http://nbn-resolving.de/urn:nbn:de:swb:14-1031654874828-52789 http://www.qucosa.de/fileadmin/data/qucosa/documents/979/1031654874828-5278.pdf

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