Journal of Physics D Applied Physics · 2002 · 247 citations · 85 references
Natural SciencesBioengineeringBiophysicsBiomedical ImagingBiomedical OpticsDiagnostic ImagingCellular ImagingFluorescence ImagingFluorescence MicroscopyFluorescence SpectroscopyPhotophysics Of Fluorescent ProbesTumor ImagingFluorescence DiagnosticsFluorescence LifetimeFluorescence Lifetime ImagingFluorescence Lifetime Imaging MicroscopyFluorescence Lifetime MeasurementsOxygen Concentration EffectsTime-resolved Fluorescence ImagingTime-resolved Imaging
Fluorescence lifetime imaging is a rather new and effective tool that can be used to study complex biological samples, either at microscopic or macroscopic levels. The map of the fluorescence lifetime allows one to discriminate amongst different fluorophores and to achieve valuable insights into the behaviour of emitting molecules, leading to information like local pH, oxygen concentration in cells, etc. Moreover, the distribution in space of any fluorescent marker achievable with this technique can be exploited for diagnostic purposes in medicine. After a brief introduction on the motivations for applying fluorescence lifetime imaging in biology and medicine, the basic principles of this technique will be addressed. Then, the two possible implementations of fluorescence lifetime imaging (i.e. the frequency domain and the time domain methods) will be presented. For this purpose, special attention will be devoted to practical aspects of image acquisition and processing, especially for what concerns the time domain method. Then, the analysis of the state-of-the-art systems will include a brief discussion on new concepts that have recently been introduced in this research field. Finally, two interesting applications of fluorescence lifetime imaging will be presented. The former refers to skin tumour detection and has been successfully applied in a preliminary clinical trial, the latter regards DNA chips reading and has been tested only at laboratory level, yet it has produced promising results for its future implementation in commercial systems.
85
Gene expression profiling predicts clinical outcome of breast cancer
Laura van ‘t Veer, Hongyue Dai, Marc J. van de Vijver et al. · Nature · 2002 · 9.6K citations · Full text
Accessing Genetic Information with High-Density DNA Arrays
Mark S. Chee, Robert Yang, Earl Hubbell et al. · Science · 1996 · 1.5K citations