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Determining the label to target ratio, also known as the degree of labeling (DOL), is crucial for quantitative fluorescence microscopy and a high DOL with minimal unspecific labeling is beneficial for fluorescence microscopy in general. Yet robust, versatile and easy-to-use tools for measuring cell-specific labeling efficiencies are not available. Here we present a DOL determination technique named protein-tag DOL (ProDOL), which enables fast quantification and optimization of protein-tag labeling. With ProDOL various factors affecting labeling efficiency, including substrate type, incubation time and concentration, as well as sample fixation and cell type can be easily assessed. We applied ProDOL to investigate how human immunodeficiency virus-1 pathogenesis factor Nef modulates CD4 T cell activation measuring total and activated copy numbers of the adapter protein SLP-76 in signaling microclusters. ProDOL proved to be a versatile and robust tool for labeling calibration, enabling determination of labeling efficiencies, optimization of strategies and quantification of protein stoichiometry.

Current efforts to monitor the diffusion of proteins in living cells are based on either fluorescence correlation spectroscopy (FCS), fluorescence recovery after photobleaching, or image correlation spectroscopy. However, these methods cannot generate a map of diffusion times. Here, we introduce a new method termed diffusion imaging microscopy that combines scanning confocal microscopy, time-correlated single-photon counting, and FCS and thus allows us to measure spatially resolved diffusion times. In our approach, we record scan images with timeresolved photon streams within each individual pixel. By extending the pixel dwell time to 25-100 ms, a software correlation of individual photons within each pixel yields the average diffusion time. Additionally, information on fluorescence intensity (number of photons) and fluorescence lifetime is available and can be used to sort fluorescence photons and to discriminate from autofluorescence. We evaluated our method by measuring diffusion times of [dT.sub.20]-TMR in solutions of different viscosity. We further demonstrate the applicability of the method to living cells and recorded a diffusion map of a living 3T3 mouse fibroblast incubated with [dT.sub.20]-ATTO488.

Due to growing problems with new emerging pathogens, cost-effective and manageable methods for their accurate identification in routine diagnostics are urgently required. Of particular importance is the genus Mycobacterium with its more than 100 species. Identification of these species is hampered by their slow growth in the laboratory and by the obligate need for DNA sequence analysis. To provide a fast and reliable diagnostic tool, we developed a novel approach using fluorescently labeled DNA hairpin structures (smart probes) for selective and sensitive detection of mycobacterial 1 6S rDNA PCR amplicons in homogeneous and heterogeneous assays. Smart probes are singly labeled hairpin-shaped oligonucleotides bearing a fluorescent dye at the 5'-end, which is quenched by guanosine residues in the complementary stem. Upon hybridization to target sequences, a conformational change occurs reflected in an increase in fluorescence intensity. Using optimized parameters for hybridization experiments we established a reliable method for the specific detection of Mycobacterium tuberculosis (M. tuberculosis complex) and Mycobacterium xenopi (member of the atypical mycobacteria) with a detection sensitivity of ~2 x [10.sup.-8] M in homogeneous solution. The specificity of the smart probes designed is demonstrated by discrimination of M. tuberculosis and M. xenopi against 15 of the most frequently isolated mycobacterial species in a single assay. In combination with a microsphere-based heterogeneous assay format, the technique opens new avenues for the detection of pathogen-specific DNA sequences with hitherto unsurpassed sensitivity.

The detection of single mRNA molecules tagged by microinjected, singly fluorescently labeled oligo(dT) 43-mer molecules in living cells in quasi-natural surrounding, that is, cell culture medium, is demonstrated. Single-stranded oligonucleotides were labeled at the 5'-end with a red-absorbing oxazine derivative (MR121) and excited by a pulsed laser diode emitting at 635 nm with a repetition rate of 64 MHz. Spectrally resolved fluorescence lifetime imaging microscopy (SFLIM) on untreated living 3T3 mouse fibroblast cells reveals autofluorescence signals found predominately in the cytoplasm with fluorescence lifetimes of ~1.3 ns and emission maximums of ~665-670 nm. Hence, fluorescence signals of single MR121-labeled oligonucleotide molecules that exhibit a fluorescence lifetime of 2.8 ns and a fluorescence emission maximum of 685 nm can be easily discriminated against autofluorescence. MR121-labeled oligonucleotides were microinjected into the cytoplasm or nucleus of living 3T3 mouse fibroblast cells using a micropipet. Since the micropipet exhibits an inner diameter of 500 [+ or -] 200 nm at the very end of the tip--comparable to the diameter of the detection volume applied--the number of molecules delivered into the cell via the micropipet can be counted. Furthermore, the presented technique enables the quantitative detection and time-resolved identification of single molecules in living cells as a result of their characteristic emission maximums and fluorescence lifetime. The results obtained from single-molecule studies demonstrate for the first time that 10-30% of the microinjected oligo(dT) 43-mer molecules cannot diffuse freely inside of the nucleus but, rather, are tethered to immobile elements of the transcriptional, splicing, or polyadenylation machinery.

A study of a new scanning technique for simultaneous recording of intensity, fluorescence lifetime, and spectral information called the spectrally resolved fluorescence lifetime imaging microscopy (SFLIM) with single molecule sensitivity is presented. The results show that SFLIM is ideally suited to reveal subpopulations in inhomogeneous samples and mixtures and that a combined analysis of emission spectrum and radiative decay rate is a valuable approach for classification and quantification of the photophysical dynamics.

The concept of fluorescent metal ion sensing with an easily tunable emission wavelength is described and its principle is demonstrated by detection of Cu(super 2+) ions. The intensity of sensor emission at 624 nm is strongly dependent on the Cu(super 2+) concentration, with a 20 nM detection limit.