An improved and cost-effective methodology for the reduction of autofluorescence in direct immunofluorescence studies on formalin-fixed paraffin-embedded tissues

Interference by autofluorescence is one of the major shortcomes of immunofluorescence analysis by confocal laser scanning microscopy (CLSM). CLSM requires minimal tissue autofluorescence and reduced unspecific fluorescence background, requisites that become more critical when direct immunofluorescence studies are concerned. To control autofluorescence, different reagents and treatments can be used. Until now, the efficacy of the processes described depended on the tissue type and on the processing technique, no general recipe for the control of autofluorescence being available. Using paraffin sections of archival formalin-fixed murine liver, kidney and pancreas, we have found that previously described techniques were not able to reduce autofluorescence to levels that allowed direct immunofluorescence labelling. In this work, we aimed at improving currently described methodologies so that they would allow reduction of the autofluorescent background without affecting tissue integrity or direct immunofluorescence labelling. We have found that the combination of short-duration, high-intensity UV irradiation and Sudan Black B was the best approach to reduce autofluorescence in highly vascularised, high lipofuscins' content tissues, such as murine liver and kidney, and poorly vascularised, low lipofuscins' content tissues such as the pancreas. In addition, we herein show that this methodology is highly effective in reducing autofluorescent background to levels that allow detection of specific signals by direct immunofluorescence.     

Overview of DNA chip technology

DNA chip technology utilizes microscopic arrays (microarrays) of molecules immobilized on solid surfaces for biochemical analysis. Microarrays can be used for expression analysis, polymorphism detection, DNA resequencing, and genotyping on a genomic scale. Advanced arraying technologies such as photolithograpy, micro-spotting and ink jetting, coupled with sophisticated fluorescence detection systems and bioinformatics, permit molecular data gathering at an unprecedented rate. Microarray-based characterization of plant genomes has the potential to revolutionize plant breeding and agricultural biotechnology. This review provides an overview of DNA chip technology, focusing on manufacturing approaches and biological applications.     

Cellular autofluorescence--is it due to flavins?

For many cell types, cellular autofluorescence in the 500-600 nm spectral region can result in a significant background signal for measurements of weakly fluorescent probes. Measurements of fluorescence intensity and spectra of a variety of cell types and assays of neuronal homogenates are presented to demonstrate that this autofluorescence is most likely due to endogenous flavoproteins.     

Application of spectral imaging microscopy in cytomics and fluorescence resonance energy transfer (FRET) analysis.

BACKGROUND: Specific signal detection has been a fundamental issue in fluorescence microscopy. In the context of tissue samples, this problem has been even more pronounced, with respect to spectral overlap and autofluorescence. METHODS: Recent improvements in confocal laser scanning microscopy combine sophisticated hardware to obtain fluorescence emission spectra on a single-pixel basis and a mathematical procedure called "linear unmixing" of fluorescence signals. By improving both the specificity of fluorescence acquisition and the number of simultaneously detectable fluorochromes, this technique of spectral imaging (SI) allows complex interrelations in cells and tissues to be addressed. RESULTS: In a comparative approach, SI microscopy on a quantitative basis was compared to conventional bandpass (BP) filter detection, demonstrating substantial superiority of SI with respect to detection accuracy and dye combination. An eight-color immunofluorescence protocol for tissue sections was successfully established. Moreover, advanced use of SI in fluorescence resonance energy transfer (FRET) applications using enhanced green fluorescence protein (EGFP) and enhanced yellow fluorescence protein (EYFP) in a confocal set up could be demonstrated. CONCLUSIONS: This novel technology will help to perform complex multiparameter investigations at the cellular level by increasing the detection specificity and permitting simultaneous use of more fluorochromes than with classical techniques based on emission filters. Moreover, SI significantly extends the possibilities for specialized microscopy applications, such as the visualization of macromolecular interactions or conformational changes, by detecting FRET.     

Image correlation spectroscopy. II. Optimization for ultrasensitive detection of preexisting platelet-derived growth factor-beta receptor oligomers on intact cells.

Previously we introduced image correlation spectroscopy (ICS) as an imaging analog of fluorescence correlation spectroscopy (FCS). Implementation of ICS with image collection via a standard fluorescence confocal microscope and computer-based autocorrelation analysis was shown to facilitate measurements of absolute number densities and determination of changes in aggregation state for fluorescently labeled macromolecules. In the present work we illustrate how to use ICS to quantify the aggregation state of immunolabeled plasma membrane receptors in an intact cellular milieu, taking into account background fluorescence. We introduce methods that enable us to completely remove white noise contributions from autocorrelation measurements for individual images and illustrate how to perform background corrections for autofluorescence and nonspecific fluorescence on cell population means obtained via ICS. The utilization of photon counting confocal imaging with ICS analysis in combination with the background correction techniques outlined enabled us to achieve very low detection limits with standard immunolabeling methods on normal, nontransformed human fibroblasts (AG1523) expressing relatively low numbers of platelet-derived growth factor-beta (PDGF-beta) receptors. Specifically, we determined that the PDGF-beta receptors were preaggregated as tetramers on average with a mean surface density of 2.3 clusters micrometer(-2) after immunolabeling at 4 degreesC. These measurements, which show preclustering of PDGF-beta receptors on the surface of normal human fibroblasts, contradict a fundamental assumption of the ligand-induced dimerization model for signal transduction and provide support for an alternative model that posits signal transduction from within preexisting receptor aggregates.     

Optimization of Immunofluorescent Detection of Bone Marrow Disseminated Tumor Cells

Background

Cancer metastasis is the primary cause of cancer-related deaths and remains incurable. Current clinical methods for predicting metastatic recurrence are not sensitive enough to detect individual cancer cells in the body; therefore, current efforts are directed toward liquid biopsy-based assays to capture circulating and disseminated tumor cells (CTCs and DTCs) in the blood and bone marrow, respectively. The most promising strategy is fluorescence-based immunostaining using cancer cell-specific markers. However, despite recent efforts to develop robust processing and staining platforms, results from these platforms have been discordant among groups, particularly for DTC detection. While the choice of cancer cell-specific markers is a large factor in this discordance, we have found that marker-independent factors causing false signal are just as critical to consider. Bone marrow is particularly challenging to analyze by immunostaining because endogenous immune cell properties and bone marrow matrix components typically generate false staining. For immunostaining of whole tumor tissue containing ample cancer cells, this background staining can be overcome. Application of fluorescent-based staining for rare cells, however, is easily jeopardized by immune cells and autofluorescence that lead to false signal.

Results

We have specifically found two types of background staining in bone marrow samples: autofluorescence of the tissue and non-specific binding of secondary antibodies. We systematically optimized a basic immunofluorescence protocol to eliminate this background using cancer cells spiked into human bone marrow. This enhanced the specificity of automated scanning detection software. Our optimized protocol also outperformed a commercial rare cell detection protocol in detecting candidate DTCs from metastatic patient bone marrow.

Conclusions

Robust optimization to increase the signal-to-noise ratio of immunofluorescent staining of bone marrow is required in order to achieve the necessary sensitivity and specificity for rare cell detection. Background immunofluorescent staining in bone marrow causes uncertainty and inconsistency among investigators, which can be overcome by systematically addressing each contributing source. Our optimized assay eliminates sources of background signal, and is adaptable to automated staining platforms for high throughput analysis.

     

Sensitive detection of proteins using assembled cascade fluorescent DNA nanotags based on rolling circle amplification

A novel cascade fluorescence signal amplification strategy based on the rolling circle amplification (RCA)-aided assembly of fluorescent DNA nanotags as fluorescent labels and multiplex binding of the biotin-streptavidin system was proposed for detection of protein target at ultralow concentration. In the strategy, fluorescent DNA nanotags are prepared relying on intercalating dye arrays assembled on nanostructured DNA templates by intercalation between base pairs. The RCA product containing tandem-repeat sequences could serve as an excellent template for periodic assembly of fluorescent DNA nanotags, which were presented per protein recognition event to numerous fluorescent DNA nanotags for assay readout. Both the RCA and the multiplex binding system showed remarkable amplification efficiency, very little nonspecific adsorption, and low background signal. Using human IgG as a model protein, the designed strategy was successfully demonstrated for the ultrasensitive detection of protein target. The results revealed that the strategy exhibited a dynamic response to human IgG over a three-decade concentration range from 1.0 pM to 1.0 fM with a limit of detection as low as 0.9 fM. By comparison with the assay of multiple labeling antibodies with the dye/DNA conjugate, the limit of detection was improved by 4 orders. The designed signal amplification strategy would hold great promise as a powerful tool to be applied for the ultrasensitive detection of target protein in immunoassay.     

Immunofluorescence analysis in flow cytometry: better selection of antibody-labeled cells after fluorescence overcompensation in the red channel

Selection of cells labeled with fluorescein isothiocyanate-conjugated (FITC) antibodies can be difficult if large autofluorescent cells are used and if the cells bind only a few molecules of antibody. We have developed a simple flow cytometric procedure that allows better selection of stained cells. When an argon ion laser emitting at 488 nm is used, the green fluorescence detected is the sum of cell autofluorescence and of the signal generated by the FITC antibody. Thus, when we subtract green signal from the red by fluorescence compensation, the signal of stained cells is on average reduced more than for the unstained counterpart. In this scenario, positive selection of cells with low red signal allows more efficient selection of stained cells. We tested the overcompensation procedure on mixtures of cells unstained and stained with a relevant FITC antibody. Cell mixtures were analyzed using normal vs increased levels of compensation in the red channel. Increased levels of compensation resulted in easier gating and higher recovery of stained cells. The efficiency of the overcompensation procedure was particularly high when using red filters with low cutoff (i.e., 560 or 570 nm), possibly because of the significant emission of fluorescein in the red channel, which caused separation between stained and unstained cells also in the red dimension. This method is useful for sorting cells expressing low levels of surface markers and facilitates selection of rare cells transfected with surface antigen genes. This technique is compatible with the use of propidium iodide for live/dead cell discrimination and with the subtraction of the cellular background of autofluorescence.     

A single laser method for subtraction of cell autofluorescence in flow cytometry

In flow cytometry cell autofluorescence often interferes with efforts to measure low levels of bound fluorescent antibody. We have developed a way to correct for autofluorescence on a cell-by-cell basis. This results in improved estimates of real staining and better separation of the fluorescence histograms of stained and non-stained cells. Using a single laser, two-color fluorescence measurement system and two-color compensation electronics, autofluorescence and one fluorescent reagent are measured (rather than two fluorescent reagents). With fluorescein-conjugated antibodies the signal in the 515 to 555 nm range (green fluorescence) includes both fluorescein emission and part of the cellular autofluorescence. In the cases we have investigated, autofluorescence collected at wavelengths above 580 nm ("red") is well correlated with the green autofluorescence of the cells. A fraction of this red fluorescence is subtracted from the green fluorescence to produce an adjusted fluorescein output on which unstained cells have zero average signal. Use of this method facilitates the selection of rare cells transfected with surface antigen genes. Culture conditions affect the level of autofluorescence and the balance between red and green autofluorescence. When applied with fluorescein-conjugated reagents, the technique is compatible with the use of propidium iodide for live/dead cell discrimination.     

A DNA microarray platform based on direct detection of rRNA for characterization of freshwater sediment-related prokaryotic communities

A DNA microarray platform for the characterization of bacterial communities in freshwater sediments based on a heterogeneous set of 70 16S rRNA-targeted oligonucleotide probes and directly labeled environmental RNA was developed and evaluated. Application of a simple protocol for the efficient background blocking of aminosilane-coated slides resulted in an improved signal-to-noise ratio and a detection limit of 10 ng for particular 16S rRNA targets. An initial specificity test of the system using RNA from pure cultures of different phylogenetic lineages showed a fraction of false-positive signals of approximately 5% after protocol optimization and a marginal loss of correct positive signals. Subsequent microarray analysis of sediment-related community RNA from four different German river sites suggested low diversity for the groups targeted but indicated distinct differences in community composition. The results were supported by parallel fluorescence in situ hybridization in combination with sensitive catalyzed reporter deposition (CARD-FISH). In comparisons of the data of different sampling sites, specific detection of populations with relative cellular abundances down to 2% as well as a correlation of microarray signal intensities and population size is suggested. Our results demonstrate that DNA microarray technology allows for the fast and efficient precharacterization of complex bacterial communities by the use of standard single-cell hybridization probes and the direct detection of environmental rRNA, also in methodological challenging habitats such as heterogeneous lotic freshwater sediments.     

A DNA Microarray Platform Based on Direct Detection of rRNA for Characterization of Freshwater Sediment-Related Prokaryotic Communities

A DNA microarray platform for the characterization of bacterial communities in freshwater sediments based on a heterogeneous set of 70 16S rRNA-targeted oligonucleotide probes and directly labeled environmental RNA was developed and evaluated. Application of a simple protocol for the efficient background blocking of aminosilane-coated slides resulted in an improved signal-to-noise ratio and a detection limit of 10 ng for particular 16S rRNA targets. An initial specificity test of the system using RNA from pure cultures of different phylogenetic lineages showed a fraction of false-positive signals of ~5% after protocol optimization and a marginal loss of correct positive signals. Subsequent microarray analysis of sediment-related community RNA from four different German river sites suggested low diversity for the groups targeted but indicated distinct differences in community composition. The results were supported by parallel fluorescence in situ hybridization in combination with sensitive catalyzed reporter deposition (CARD-FISH). In comparisons of the data of different sampling sites, specific detection of populations with relative cellular abundances down to 2% as well as a correlation of microarray signal intensities and population size is suggested. Our results demonstrate that DNA microarray technology allows for the fast and efficient precharacterization of complex bacterial communities by the use of standard single-cell hybridization probes and the direct detection of environmental rRNA, also in methodological challenging habitats such as heterogeneous lotic freshwater sediments.     

ampliPHOX Colorimetric Detection on a DNA Microarray for Influenza

DNA microarrays have emerged as a powerful tool for pathogen detection.^1-5 For instance, many examples of the ability to type and subtype influenza virus have been demonstrated.^6-11 The identification and subtyping of influenza on DNA microarrays has applications in both public health and the clinic for early detection, rapid intervention, and minimizing the impact of an influenza pandemic. Traditional fluorescence is currently the most commonly used microarray detection method. However, as microarray technology progresses towards clinical use,¹ replacing expensive instrumentation with low cost detection technology exhibiting similar performance characteristics to fluorescence will make microarray assays more attractive and cost-effective.The ampliPHOX colorimetric detection technology is intended for research applications, and has a limit of detection within one order of magnitude of traditional fluorescence¹¹, with a main advantage being an approximate ten-fold lower instrument cost compared to the confocal microarray scanners required for fluorescence microarray detection. Another advantage is the compact size of the instrument which allows for portability and flexibility, unlike traditional fluorescence instruments. Because the polymerization technology is not as inherently linear as fluorescence detection, however, it is best suited for lower density microarray applications in which a yes/no answer for the presence of a certain sequence is desired, such as for pathogen detection arrays. Currently the maximum spot density compatible with ampliPHOX detection is ˜1800 spots/array. Because of the spot density limitations, higher density microarrays are not suitable for ampliPHOX detection.Here, we present ampliPHOX colorimetric detection technology as a method of signal amplification on a low density microarray developed for the detection and characterization of influenza viruses (FluChip). Although this protocol uses the FluChip (a DNA microarray) as one specific application of ampliPHOX detection, any microarray incorporating biotinylated target can be labeled and detected in a similar manner. The microarray design and biotinylation of the target to be captured are the responsibility of the user. Once the biotinylated target has been captured on the array, ampliPHOX detection can be performed by first tagging the array with a streptavidin-label conjugate (ampliTAG). Upon light exposure using the ampliPHOX Reader instrument, polymerization of a monomer solution (ampliPHY) occurs only in regions containing ampliTAG-labeled targets. The polymer formed can be subsequently stained with a non-toxic solution to improve visual contrast, followed by imaging and analysis using a simple software package (ampliVIEW). The entire FluChip assay from un-extracted sample to result can be performed in about 6 hours, and the ampliPHOX detection steps described above can be completed in about 30 min. Download video file.^{(61M, mov)}     

Detection of genes involved in biodegradation and biotransformation in microbial communities by using 50-mer oligonucleotide microarrays

To effectively monitor biodegrading populations, a comprehensive 50-mer-based oligonucleotide microarray was developed based on most of the 2,402 known genes and pathways involved in biodegradation and metal resistance. This array contained 1,662 unique and group-specific probes with <85% similarity to their nontarget sequences. Based on artificial probes, our results showed that under hybridization conditions of 50 degrees C and 50% formamide, the 50-mer microarray hybridization can differentiate sequences having <88% similarity. Specificity tests with representative pure cultures indicated that the designed probes on the arrays appeared to be specific to their corresponding target genes. The detection limit was approximately 5 to 10 ng of genomic DNA in the absence of background DNA and 50 to 100 ng of pure-culture genomic DNA in the presence of background DNA or 1.3 x 10(7) cells in the presence of background RNA. Strong linear relationships between the signal intensity and the target DNA and RNA were observed (r(2) = 0.95 to 0.99). Application of this type of microarray to analyze naphthalene-amended enrichment and soil microcosms demonstrated that microflora changed differently depending on the incubation conditions. While the naphthalene-degrading genes from Rhodococcus-type microorganisms were dominant in naphthalene-degrading enrichments, the genes involved in naphthalene (and polyaromatic hydrocarbon and nitrotoluene) degradation from gram-negative microorganisms, such as Ralstonia, Comamonas, and Burkholderia, were most abundant in the soil microcosms. In contrast to general conceptions, naphthalene-degrading genes from Pseudomonas were not detected, although Pseudomonas is widely known as a model microorganism for studying naphthalene degradation. The real-time PCR analysis with four representative genes showed that the microarray-based quantification was very consistent with real-time PCR (r(2) = 0.74). In addition, application of the arrays to both polyaromatic-hydrocarbon- and benzene-toluene-ethylbenzene-xylene-contaminated and uncontaminated soils indicated that the developed microarrays appeared to be useful for profiling differences in microbial community structures. Our results indicate that this technology has potential as a specific, sensitive, and quantitative tool in revealing a comprehensive picture of the compositions of biodegradation genes and the microbial community in contaminated environments, although more work is needed to improve detection sensitivity.     

sRNA‐FISH: versatile fluorescent in situ detection of small RNAs in plants

Localization of mRNA and small RNAs (sRNAs) is important for understanding their function. Fluorescent in situ hybridization (FISH) has been used extensively in animal systems to study the localization and expression of sRNAs. However, current methods for fluorescent in situ detection of sRNA in plant tissues are less developed. Here we report a protocol (sRNA‐FISH) for efficient fluorescent detection of sRNAs in plants. This protocol is suitable for application in diverse plant species and tissue types. The use of locked nucleic acid probes and antibodies conjugated with different fluorophores allows the detection of two sRNAs in the same sample. Using this method, we have successfully detected the co‐localization of miR2275 and a 24‐nucleotide phased small interfering RNA in maize anther tapetal and archesporial cells. We describe how to overcome the common problem of the wide range of autofluorescence in embedded plant tissue using linear spectral unmixing on a laser scanning confocal microscope. For highly autofluorescent samples, we show that multi‐photon fluorescence excitation microscopy can be used to separate the target sRNA‐FISH signal from background autofluorescence. In contrast to colorimetric in situ hybridization, sRNA‐FISH signals can be imaged using super‐resolution microscopy to examine the subcellular localization of sRNAs. We detected maize miR2275 by super‐resolution structured illumination microscopy and direct stochastic optical reconstruction microscopy. In this study, we describe how we overcame the challenges of adapting FISH for imaging in plant tissue and provide a step‐by‐step sRNA‐FISH protocol for studying sRNAs at the cellular and even subcellular level.     

A reduction-triggered fluorescence probe for sensing nucleic acids

We have developed a reduction-triggered fluorescence probe with a new fluorogenic compound derivatized from Rhodamine for sensing oligonucleotides. The chemistry to activate the compound involves the reaction between the azide group of rhodamine derivatives and the reducing reagents, with the fluorescence signal appearing after reduction of the azide group. The signal/background ratio of this fluorogenic compound reached 2100-fold enhancement in fluorescence intensity. Dithio-1,4-threitol or triphenylphosphine as reducing reagents were successfully utilized for this chemistry to be introduced into the DNA probe. The genetic detection requires that two strands of DNA bind onto target oligonucleotides, one probe carrying a reducible fluorogenic compound while the other carries the reducing reagents. The reaction proceeds automatically without any enzymes or reagents under biological conditions to produce a fluorescence signal within 10-20 min in the presence of target DNA or RNA. In addition, the probe was very stable under biological conditions, even such extreme conditions as pH 5 solution, pH 10 solution, or high temperature (90 degrees C) with no undesirable background signal. The probes were successfully applied to the detection of oligonucleotides at the single nucleotide level in solution and endogenous RNA in bacterial cells.     

Dual-laser, differential fluorescence correction method for reducing cellular background autofluorescence

A method has been developed for reducing the intrinsic autofluorescence background component in cells labeled with fluorescent antibodies, thus permitting low levels of antibody-binding on highly autofluorescent cells to be quantified. The method is based on the broad autofluorescent excitation spectra compared to the well-defined spectra of the fluorescent label. Two laser wavelengths were used, one optimally to excite the fluorescent label plus autofluorescence and the second to excite only the autofluorescence. Two fluorescence measurements were made in the same wavelength region and the signals were subtracted on a cell-by-cell basis using a difference amplifier to zero the autofluorescence and amplify the signal from the fluorescent label. Test results on unlabeled autofluorescent macrophages showed that the autofluorescence component was reduced by balancing the signal inputs to the difference amplifier. When labeled macrophages were analyzed, the autofluorescence was reduced and the fluorescent-labeled antibody-binding component was amplified. The method was also able to resolve labeled lymphocytes from unlabeled autofluorescent macrophages.     

Lateral-flow and up-converting phosphor reporters to detect single-stranded nucleic acids in a sandwich-hybridization assay

Up-converting Phosphor Technology (UPT) particles were used as reporters in lateral-flow (LF) assays to detect single-stranded nucleic acids. The 400-nm phosphor particles exhibit strong visible luminescence upon excitation with infrared (IR) light resulting in the total absence of background autofluorescence from other biological compounds. A sandwich-type hybridization assay was applied using two sequence-specific oligonucleotides. One of the oligonucleotides probes was covalently bound to the UPT particle (reporter) for direct labeling and detection, whereas the second oligonucleotide probe contained biotin for capture by avidin during LF. The whole procedure of hybridization, UPT-LF detection, and analysis required a minimum time of 20 min. Moreover, aiming at minimal equipment demands, the hybridization conditions were chosen such that the entire assay could be performed at ambient temperature. During lateral flow, only targets hybridized to both capture and detection oligonucleotide were trapped and detected at an avidin capture line on the LF strip. Analysis (IR scanning) of the strips was performed in an adapted microtiter plate reader provided with a 980-nm IR laser for excitation of the phosphor particles (a portable reader was also available). Visible luminescence was measured and presented as relative fluorescence units (RFU) allowing convenient quantitation of the phosphor signal. With the assay described here as little as 0.1 fmol of a specific single-stranded nucleic acid target was detected in a background of 10 microg fish sperm DNA.     

Background suppression in frequency-domain fluorometry

Gated detection is often used in time-domain measurements of long-lived fluorophores for suppression of interfering short-lived autofluorescence. However, no direct method has been available for gated detection and background suppression when using frequency-domain fluorometry. We describe a direct method for real-time suppression of autofluorescence in frequency-domain fluorometry. The method uses a gated detector and the sample is excited by a pulsed train. The detector is gated on following each excitation pulse after a suitable time delay for decay of the prompt autofluorescence. Under the same experimental conditions a detectable reference signal is obtained by using a long lifetime standard with a known decay time. Because the sample and reference signals are measured under identical excitation, gating and instrumental conditions, the data can be analyzed as usual for frequency-domain data without further processing. We show by simulations that this method can be used to resolve single and multiexponential decays in the presence of short lifetime autofluorescence.     

Time-resolved fluorescence imaging of europium chelate label in immunohistochemistry and in situ hybridization.

Fluorescent lanthanide chelates with long decay times allow the suppression of the fast decaying autofluorescence in biological specimens. This property makes lanthanide chelates attractive as labels for fluorescence microscopy. As a consequence of the suppression of the background fluorescence the sensitivity can be increased. We modified a standard epifluorescence microscope for time-resolved fluorescence imaging by adding a pulsed light source and a chopper in the narrow aperture plane. A cooled CCD-camera was used for detection and the images were digitally processed. A fluorescent europium chelate was conjugated to antisera and to streptavidin. These conjugates were used for the localization of tumor associated antigen C242 in the malignant mucosa of human colon, for the localization of type II collagen mRNA in developing human cartilaginary growth plates, and for the detection of HPV type specific gene sequences in the squamous epithelium of human cervix. The specific slowly decaying fluorescence of the europium label could be effectively separated from the fast decaying background fluorescence. It was possible to use the europium label at the cell and tissue level and the autofluorescence was effectively suppressed in in situ hybridization and immunohistochemical reactions in both frozen and formaldehyde-fixed, wax-embedded specimens.