Identification and classification of human neural stem cells by infrared spectroscopic imaging

G. Steiner; S. Küchler; E. Koch; R. Salzer; G. Schackert; M. Kirsch

doi:10.1117/12.808765

23 February 2009 Identification and classification of human neural stem cells by infrared spectroscopic imaging

G. Steiner, S. Küchler, E. Koch, R. Salzer, G. Schackert, M. Kirsch

Proceedings Volume 7169, Advanced Biomedical and Clinical Diagnostic Systems VII; 716911 (2009) https://doi.org/10.1117/12.808765
Event: SPIE BiOS, 2009, San Jose, California, United States

Abstract

Human neural stem were cultivated and characterized using infrared spectroscopic imaging. A classification algorithm based on linear discriminate analysis was developed to distinguish the differentiation of the stem cells to neurons, astrocytes and stem cells without labeling. The classification is based upon spectral features which mainly arise from proteins, nucleic acids. A spectral training set was formed with spectra from cells which were identified by a subsequently staining according to a standard histological protocol. Differentiated cells could be classified with a high accuracy whereas not differentiated stem cells did exhibit some misclassifications

Citation Download Citation

G. Steiner, S. Küchler, E. Koch, R. Salzer, G. Schackert, and M. Kirsch "Identification and classification of human neural stem cells by infrared spectroscopic imaging", Proc. SPIE 7169, Advanced Biomedical and Clinical Diagnostic Systems VII, 716911 (23 February 2009); https://doi.org/10.1117/12.808765

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

Includes PDF, HTML & Video, when available