Microchimica Acta

, Volume 151, Issue 1, pp 1–21

Fluorescence Analysis in Microarray Technology

  • Stefan Nagl
  • Michael Schaeferling
  • Otto S. Wolfbeis
Review

DOI: 10.1007/s00604-005-0393-9

Cite this article as:
Nagl, S., Schaeferling, M. & Wolfbeis, O. Microchim Acta (2005) 151: 1. doi:10.1007/s00604-005-0393-9

Abstract.

Fluorescence has been the preferred choice for data quantification in biomedical microarray formats since their earliest days. As much as the formats have grown and evolved over the years, the methods in optical analysis have become ever more sophisticated and complex in order to produce more and better output. This review will provide an insight into the most common methods and the state-of-the-art of all areas in microarray fluorescence analysis. Starting with an overview on microarray formats with a focus on their demands on the readout, the most common and useful organic fluorescent stains are discussed before proceeding on to other approaches; the use of semiconductor nanocrystals (quantum dots), polymer and silica nanoparticles and fluorescent proteins. Ways to enhance the intrinsically low signal on biochips have become increasingly important as they offer a sound approach towards the detection of low concentration sample content. The three main categories are presented: amplification using DNA, enzymes, and dendrimers. As much diversity as on the microarrays themselves can be found at the detection device. Standard optical microarray detectors, and non-standard methods using fluorescence anisotropy, fluorescence lifetime imaging (FLIM) and fluorescence resonance energy transfer (FRET), and their advantages and disadvantages are discussed.

Key words: Microarray technology; fluorescence analysis; signal amplification; optical methods; fluorescence lifetime imaging.

Copyright information

© Springer-Verlag/Wien 2005

Authors and Affiliations

  • Stefan Nagl
    • 1
  • Michael Schaeferling
    • 1
  • Otto S. Wolfbeis
    • 1
  1. 1.Institute of Analytical Chemistry, Chemo- and Biosensors, University of RegensburgRegensburgGermany