Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Investigation of the hybridization process in DNA-microarrays by fluorescence lifetime imaging

Not Accessible

Your library or personal account may give you access

Abstract

cDNA-microarrays for expression profiling rely on the assumption that the fluorescence signal is linearly proportional to the concentration of the markers. Yet, interactions amongst different markers and with the substrate might affect the chromophore quantum yield and lead to an erroneous reading. To indirectly evaluate quantum yield changes and their relevance for DNA-microarray reading, we studied the effect on fluorescence lifetime by using a system for fluorescence lifetime imaging. Quenching of the fluorescence emission was observed in the tight environment represented by a DNA-microarray due to concentration and to interactions with the processing chemicals present on the substrate.

© 2003 SPIE

PDF Article
More Like This
Fluorescence lifetime imaging of DNA microarrays for expression profiling

Daniela Comelli, Cosimo D’Andrea, Gianluca Valentini, Rinaldo Cubeddu, Clarissa Consolandi, Gianluca De Bellis, and Luigi Rossi-Bernardi
WD2 Biomedical Topical Meeting (BIOMED) 2002

DNA microarray reading by an intensified CCD camera with picosecond time resolution

Rinaldo Cubeddu, Cosimo D’Andrea, Antonio Pifferi, Paola Taroni, Alessandro Torricelli, Gianluca Valentini, Cristina Battaglia, Clarissa Consolandi, Luigi Rossi-Bernardi, Giuliana Salani, and Gianluca De Bellis
SuG5 Biomedical Optical Spectroscopy and Diagnostics (BIOMED) 2000

Time resolved reading of DNA microarray by an intensified CCD camera

R. Cubeddu, C. D’Andrea, A. Pifferi, P. Taroni, A. Torricelli, G. Valentini, C. Battaglia, C. Consolandi, G. De Bellis, L. Rossi-Bernardi, and G. Salani
CThI6 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2000

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.