Three-dimensional DNA image cytometry by confocal scanning laser microscopy in thick tissue blocks

Three-dimensional DNA image cytometry by optical projection tomographic microscopy for early cancer diagnosis

Aneuploidy is typically assessed by flow cytometry (FCM) and image cytometry (ICM). We used optical projection tomographic microscopy (OPTM) for assessing cellular DNA content using absorption and fluorescence stains. OPTM combines some of the attributes of both FCM and ICM and generates isometric high-resolution three-dimensional (3-D) images of single cells. Although the depth of field of the microscope objective was in the submicron range, it was extended by scanning the objective's focal plane. The extended depth of field image is similar to a projection in a conventional x-ray computed tomography. These projections were later reconstructed using computed tomography methods to form a 3-D image. We also present an automated method for 3-D nuclear segmentation. Nuclei of chicken, trout, and triploid trout erythrocyte were used to calibrate OPTM. Ratios of integrated optical densities extracted from 50 images of each standard were compared to ratios of DNA indices from FCM. A comparison of mean square errors with thionin, hematoxylin, Feulgen, and SYTOX green was done. Feulgen technique was preferred as it showed highest stoichiometry, least variance, and preserved nuclear morphology in 3-D. The addition of this quantitative biomarker could further strengthen existing classifiers and improve early diagnosis of cancer using 3-D microscopy.

Cells segmentation from 3-D confocal images of early zebrafish embryogenesis

We designed a strategy for extracting the shapes of cell membranes and nuclei from time lapse confocal images taken throughout early zebrafish embryogenesis using a partial-differential-equation-based segmentation. This segmentation step is a prerequisite for an accurate quantitative analysis of cell morphodynamics during embryogenesis and it is the basis for an integrated understanding of biological processes. The segmentation of embryonic cells requires live zebrafish embryos fluorescently labeled to highlight sub-cellular structures and designing specific algorithms by adapting classical methods to image features. Our strategy includes the following steps: the signal-to-noise ratio is first improved by an edge-preserving filtering, then the cell shape is reconstructed applying a fully automated algorithm based on a generalized version of the Subjective Surfaces technique. Finally we present a procedure for the algorithm validation either from the accuracy and the robustness perspective.

Simultaneous Measurement of Cell Cycle Phase Position and Ionizing Radiation-induced DNA Strand Breakage in Single Human Tumour Cells Using Laser Scanning Confocal Imaging

Techniques for the assessment of DNA damage and repair in individual cells are pertinent to several areas of research, in particular the study of the heterogeneity of tumour cell populations in response to anticancer agents. We describe an adaptation of an in situ alkaline denaturation assay performed on individual nuclei of lysed cells, termed nucleoids, trapped within an agarose film. A novel aspect of the technique described in the application of confocal laser scanning fluorescence microscopy for the measurement of nucleoid relaxation in response to DNA damage. The volumes of spherical nucleoids and their relative DNA contents were determined by ethidium bromide staining and the analysis of confocal sections through the equatorial planes of the nucleoids. Mean nucleoid volume increased as a linear function of X-ray dose (0.5-8 Gy) administered to intact cells prior to lysis. We provide evidence of heterogeneity, in asynchronous cultures, in the DNA unfolding/unwinding characteristics of cells irrespective of cell cycle age. Bivariate plots of relative DNA content versus nucleoid volume allowed the direct assessment of cellular repair capacity with respect to cell cycle position.

Three-dimensional image visualization and analysis

This unit introduces the concepts of 3D image analysis and visualization as applied in cytometry. The author discusses the nature of 3D data sets and describes the techniques for visualization and analysis of 3D images. Discussions of noise removal, depth attenuation, and correction and segmentation are also included, as is a brief introduction to 3D analysis options and deconvolution principles. This commentary unit is a good way to begin an understanding of the application of 3D data sets.

A new whole-mount DNA quantification method and the analysis of nuclear DNA content in the stem-cell niche of Arabidopsis roots

A semi-automated method to quantify fluorescence intensity of objects in intact organs and tissues, composed of several cell layers, has been designed. The method has been developed on whole-mount propidium-iodide stained Arabidopsis thaliana (Arabidopsis) root tips, in which the DNA content of individual nuclei could be quantified. A diameter of less than 150 microm makes this organ most appropriate for whole-mount imaging. Further advantages are the lack of chlorophyll and transparent cell walls, with only a little background fluorescence. The method has a great advantage over flow cytometry, as the information regarding the positions of nuclei is maintained, and nuclei with aberrant DNA content can be re-assessed individually, which facilitates the efficient distinction between technical artefact and aberrant DNA content. Our averaging 3D method calculates the average of the summed fluorescence intensities of all sections of a nucleus and interpolates the missing sections, thereby allowing for the correction of detection problems. Furthermore, this method has the advantage of detecting objects in tissues covering multiple cell layers. The results of our method in Arabidopsis root tips showed that the quiescent centre cells, which rarely divide, are diploid, and are arrested in G1 or G0. Most stem cells, with the exception of those of the vascular tissue, are diploid cells, and their rather low division rate is caused by an elongated G1 phase. In contrast, the majority of the vascular stem cells are tetraploid.

Fluorescent stains for quantification of DNA by confocal laser scanning microscopy in 3-D

Confocal microscopy requires the use of fluorophores to visualize structures of interest within a specimen. To perform reliable measurements of the intensity of fluorescence, the stain should be specific, penetrate well into tissue sections, and bind stoichiometrically. Furthermore, emission must be linear with respect to DNA content and brightness, and fluorescence should be stable. Confocal microscopy is used to determine DNA ploidy and to analyze texture of nuclei, which is accomplished in three dimensions, because nuclei can be measured within the original tissue context. For this purpose the sample must be stained with a DNA binding fluorophore with the properties described above. Stains with different properties have been developed for different applications. We review here the advantages and disadvantages of these different stains for analyzing DNA ploidy and nuclear texture using three-dimensional microscopy. We conclude that SYBR green I and TO-PRO-3 are the most suitable stains for this purpose at present.

A restaining method to restore faded fluorescence in tissue specimens for quantitative confocal microscopy

The aim of this study was to develop a procedure to remove the TO-PRO-3 fluorescent dye from tissue sections and restain with TO-PRO-3, still allowing calculation of DNA content and distribution by confocal laser scanning microscopy (CLSM). This would allow repeated measurements on the same tissue sections and prevents loss of tissue material from valuable clinical samples. Thick sections (14 microm) were cut from a paraffin block of adrenal tissue and stained using TO-PRO-3. Image stacks were acquired by CLSM. Thereafter, three destaining approaches were tested based on incubation, at different temperatures and durations, in the medium that is normally used to dissolve TO-PRO-3. The same areas were imaged again to measure residual fluorescence and were subsequently restained and imaged again. The intensity of the images acquired after initial staining and restaining were compared. A number of 3-D (texture) features computed after segmentation of nuclei were compared as well. The best destaining result was obtained by incubation of sections at 37 degrees C in preheated medium twice for 20 min. On average, the 3-D feature values were comparable with those after initial staining. With the described protocol it is possible to remove TO-PRO-3 fluorescence from tissue sections that can successfully be restained with minimal influence on fluorescence intensity and nuclear chromatin distribution.

Automated local bright feature image analysis of nuclear protein distribution identifies changes in tissue phenotype

The organization of nuclear proteins is linked to cell and tissue phenotypes. When cells arrest proliferation, undergo apoptosis, or differentiate, distribution of nuclear proteins changes. Conversely, forced alteration of the distribution of nuclear proteins modifies cell phenotype. Immunostaining and fluorescence microscopy have been critical for such findings. However, there is increasing need for quantitative analysis of nuclear protein distribution to decipher epigenetic relationships between nuclear structure and cell phenotype and to unravel the mechanisms linking nuclear structure and function. We have developed imaging methods to quantify the distribution of fluorescently stained nuclear protein NuMA in different mammary phenotypes obtained using 3D cell culture. Automated image segmentation of DAPI-stained nuclei was generated to isolate thousands of nuclei from 3D confocal images. Prominent features of fluorescently stained NuMA were detected by using a previously undescribed local bright feature analysis technique, and their normalized spatial density was calculated as a function of the distance from the nuclear perimeter to its center. The results revealed marked changes in the distribution of the density of NuMA bright features when nonneoplastic cells underwent phenotypically normal acinar morphogenesis. Conversely, we did not detect any reorganization of NuMA during formation of tumor nodules by malignant cells. Importantly, the analysis also discriminated proliferating nonneoplastic from proliferating malignant cells, suggesting that these imaging methods are capable of identifying alterations linked not only to the proliferation status but also to the malignant character of cells. We believe that this quantitative analysis will have additional applications for classifying normal and pathological tissues.

Fully automated intensity compensation for confocal microscopic images

One well-recognized problem in three-dimensional (3D) confocal microscopic images is that the intensities in deeper slices are generally weaker than those in shallower slices. The loss of intensity with depth hampers both qualitative observation and quantitative measurement of specimens. Two major types of methods exist to compensate for this intensity loss: the first is based on the geometrical optics inside the specimen, and the second applies an empirical parametric intensity decay function (IDF) of depth. A common feature shared by both methods is that they are parameter-dependent. However, for the optics-based method there are as yet no fully automated parameter-setting approaches; and for the IDF method the traditional profile-fitting approach cannot provide proper parameters if the presumed IDF model does not match the experimental intensity-depth profile of the 3D image. In this paper, we propose a novel maximum-entropy (ME) approach to fully automated parameter-setting. In principle the ME approach is suitable for any compensation method as long as it is parameter-dependent. The basic assumption is that without intensity loss an ideal 3D image should be generally homogeneous with respect to depth and this axial homogeneity can be represented by the entropy of a normalized intensity-depth profile. Experiments on real confocal images showed that such a profile was consistent with visual evaluation of axial intensity homogeneity and that the ME approach could provide proper parameters for both compensation methods mentioned above. Moreover, for the IDF method, experiments on both real and simulated data showed that the ME approach could provide more precise parameters than with traditional profile-fitting. The Appendix provides a proof that under certain conditions the global maximization of the profile-entropy is guaranteed.

A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks

BACKGROUND

Automated segmentation of fluorescently-labeled cell nuclei in 3D confocal microscope images is essential to many studies involving morphological and functional analysis. A common source of segmentation error is tight clustering of nuclei. There is a compelling need to minimize these errors for constructing highly automated scoring systems.

METHODS

A combination of two approaches is presented. First, an improved distance transform combining intensity gradients and geometric distance is used for the watershed step. Second, an explicit mathematical model for the anatomic characteristics of cell nuclei such as size and shape measures is incorporated. This model is constructed automatically from the data. Deliberate initial over-segmentation of the image data is performed, followed by statistical model-based merging. A confidence score is computed for each detected nucleus, measuring how well the nucleus fits the model. This is used in combination with the intensity gradient to control the merge decisions.

RESULTS

Experimental validation on a set of rodent brain cell images showed 97% concordance with the human observer and significant improvement over prior methods.

CONCLUSIONS

Combining a gradient-weighted distance transform with a richer morphometric model significantly improves the accuracy of automated segmentation and FISH analysis.

Confocal DNA cytometry: a contour-based segmentation algorithm for automated three-dimensional image segmentation

BACKGROUND

Confocal laser scanning microscopy (CLSM) presents the opportunity to perform three-dimensional (3D) DNA content measurements on intact cells in thick histological sections. So far, these measurements have been performed manually, which is quite time-consuming.

METHODS

In this study, an intuitive contour-based segmentation algorithm for automatic 3D CLSM image cytometry of nuclei in thick histological sections is presented. To evaluate the segmentation algorithm, we measured the DNA content and volume of human liver and breast cancer nuclei in 3D CLSM images.

RESULTS

A high percentage of nuclei could be segmented fully automatically (e.g., human liver, 92%). Comparison with (time-consuming) interactive measurements on the same CLSM images showed that the results were well correlated (liver, r = 1.00; breast, r = 0.92).

CONCLUSIONS

Automatic 3D CLSM image cytometry enables measurement of volume and DNA content of large numbers of nuclei in thick histological sections within an acceptable time. This makes large-scale studies feasible, whereby the advantages of CLSM can be exploited fully. The intuitive modular segmentation algorithm presented in this study detects and separates overlapping objects, also in two-dimensional (2D) space. Therefore, this algorithm may also be suitable for other applications.

Statistical evaluation of confocal microscopy images

BACKGROUND

The coefficient of variation (CV) is defined as the standard deviation (sigma) of the fluorescent intensity of a population of beads or pixels expressed as a proportion or percentage of the mean (mu) intensity (CV = sigma/mu). The field of flow cytometry has used the CV of a population of bead intensities to determine if the flow cytometer is aligned correctly and performing properly. In a similar manner, the analysis of CV has been applied to the confocal laser scanning microscope (CLSM) to determine machine performance and sensitivity.

METHODS

Instead of measuring 10,000 beads using a flow cytometer and determining the CV of this distribution of intensities, thousands of pixels are measured from within one homogeneous Spherotech 10-microm bead. Similar to a typical flow cytometry population that consists of 10,000 beads, a CLSM scanned image consists of a distribution of pixel intensities representing a population of approximately 100,000 pixels. In order to perform this test properly, it is important to have a population of homogeneous particles. A biological particle usually has heterogeneous pixel intensities that correspond to the details in the biological image and thus shows more variability as a test particle.

RESULTS

The bead CV consisting of a population of pixel intensities is dependent on a number of machine variables that include frame averaging, photomultiplier tube (PMT) voltage, PMT noise, and laser power. The relationship among these variables suggests that the machine should be operated with lower PMT values in order to generate superior image quality. If this cannot be achieved, frame averaging will be necessary to reduce the CV and improve image quality. There is more image noise at higher PMT settings, making it is necessary to average more frames to reduce the CV values and improve image quality. The sensitivity of a system is related to system noise, laser light efficiency, and proper system alignment. It is possible to compare different systems for system performance and sensitivity if the laser power is maintained at a constant value. Using this bead CV test, 1 mW of 488 nm laser light measured on the scan head yielded a CV value of 4% with a Leica TCS-SP1 (75-mW argon-krypton laser) and a CV value of 1.3% with a Zeiss 510 (25-mW argon laser). A biological particle shows the same relationship between laser power, averaging, PMT voltage, and CV as do the beads. However, because the biological particle has heterogeneous pixel intensities, there is more particle variability, which does not make as useful as a test particle.

CONCLUSIONS

This CV analysis of a 10-microm Spherotech fluorescent bead can help determine the sensitivity in a confocal microscope and the system performance. The relationship among the factors that influence image quality is explained from a statistical endpoint. The data obtained from this test provides a systematic method of reducing noise and increasing image clarity. Many components of a CLSM, including laser power, laser stability, PMT functionality, and alignment, influence the CV and determine if the equipment is performing properly. Preliminary results have shown that the bead CV can be used to compare different confocal microscopy systems with regard to performance and sensitivity. The test appears to be analogous to CV tests made on the flow cytometer to assess instrument performance and sensitivity. Published 2001 Wiley-Liss, Inc.

A geometric model for 3-D confocal image analysis

In this paper, we use partial-differential-equation-based filtering as a preprocessing and post processing strategy for computer-aided cytology. We wish to accurately extract and classify the shapes of nuclei from confocal microscopy images, which is a prerequisite to an accurate quantitative intranuclear (genotypic and phenotypic) and internuclear (tissue structure) analysis of tissue and cultured specimens. First, we study the use of a geometry-driven edge-preserving image smoothing mechanism before nuclear segmentation. We show how this filter outperforms other widely-used filters in that it provides higher edge fidelity. Then we apply the same filter, with a different initial condition, to smooth nuclear surfaces and obtain sub-pixel accuracy. Finally we use another instance of the geometrical filter to correct for misinterpretations of the nuclear surface by the segmentation algorithm. Our prefiltering and post filtering nicely complements our initial segmentation strategy, in that it provides substantial and measurable improvement in the definition of the nuclear surfaces.

Confocal laser scanning microscopy and three-dimensional reconstruction of cell clusters in serous fluids

Thick cell clusters are a common finding in reactive and malignant effusions. In order to arrive at a diagnosis, clusters are evaluated for certain cytomorphologic features including size, shape, smooth vs. scalloped borders, and three-dimensional (3-D) configuration. By conventional microscopy, the image of these clusters is often blurred due to limitations in resolution. Consequently, the exact internal structure and cellular arrangement within these clusters cannot be adequately determined. Utilizing confocal laser scanning microscopy (CLSM), we examined serous fluids from a variety of conditions. Cases included mesothelioma, adenocarcinoma, and papillary adenocarcinoma. Smears were stained with 0.01% ethidium bromide and 1% eosin Y, followed by analysis with an ACAS 570 image analyzer (Meridian Instruments, Inc. Okemos, MI). Serial confocal fluorescence images were acquired, which allowed 3-D reconstruction of the clusters. Mesothelioma clusters (excluding those with obvious central collagen cores by light microscopy) appeared to be formed of the following configurations: 1) randomly coiled cords of cells, 2) small papillae encompassing central cores, and 3) tissue fragments with pseudoacinar formation. In contrast, adenocarcinomas had a more orderly pattern, with tightly cohesive cells and true acinar formation.

Confocal 3-dimensional DNA image cytometry in thick tissue sections

We present a three-dimensional confocal DNA image cytometry (3-D CICM) method for analysis of DNA content in 30-40-microns-thick sections of routinely processed paraffin-embedded specimens. A comparison of DNA ploidy profiles obtained by 3-D CICM and conventional DNA image cytometry (ICM) on tissue sections sections showed significantly higher numbers of cells with high DNA content in DNA histograms by 3-D CICM. As estimated by 3-D CICM, the size of nuclei frequently exceeded the thickness of tissue sections used in conventional ICM, which suggested that many nuclei measured by this technique may be incomplete. This artifact was excluded in 3-D CICM by automatic rejection of cut nuclear profiles. This and the favorable ratio of tissue thickness to nuclear size in 3-D CICM permitted the DNA quantitation even in large cells with highly increased DNA ploidy values such as megakaryocytes and Reed-Sternberg cells of Hodgkin's disease. Additionally, 3D-CICM allowed evaluation or morphometric parameters and 3-dimensional reconstruction of studied cells.

Advances in automated 3-D image analyses of cell populations imaged by confocal microscopy

Automated three-dimensional (3-D) image analysis methods are presented for rapid and effective analysis of populations of fluorescently labeled cells or nuclei in thick tissue sections that have been imaged three dimensionally using a confocal microscope. The methods presented here greatly improve upon our earlier work (Roysam et al.:J Microsc 173: 115-126, 1994). The principal advances reported are: algorithms for efficient data pre-processing and adaptive segmentation, effective handling of image anisotrophy, and fast 3-D morphological algorithms for separating overlapping or connected clusters utilizing image gradient information whenever available. A particular feature of this method is its ability to separate densely packed and connected clusters of cell nuclei. Some of the challenges overcome in this work include the efficient and effective handling of imaging noise, anisotrophy, and large variations in image parameters such as intensity, object size, and shape. The method is able to handle significant inter-cell, intra-cell, inter-image, and intra-image variations. Studies indicate that this method is rapid, robust, and adaptable. Examples were presented to illustrate the applicability of this approach to analyzing images of nuclei from densely packed regions in thick sections of rat liver, and brain that were labeled with a fluorescent Schiff reagent.

Three-dimensional confocal laser scanning DNA ploidy cytometry in thick histological sections

DNA ploidy measurement by flow (FCM) or image cytometry (ICM) of single cell suspensions of solid tumour has prognostic value, but it would be a definite advantage if the assessment could be done on histological sections. However, this is usually not possible by means of standard ICM, due to the capping of nuclei in thin sections, or overlap in thick sections. Three-dimensional (3D) microscopy by means of confocal laser scanning microscopy (CLSM) could solve this problem in theory but the results published so far are not very satisfactory. A new method has been developed in which the DNA content of haploid (human testis spermatozoa), diploid, tetraploid, octaploid (human and rat liver and human spermatogonia), and near-triploid (human breast cancer) nuclei stained with YOYO-1 iodide has been measured by a newly developed 3D image cytometry method (3DICM) in 20 microns thick histological sections. YOYO-1 iodide is a new highly sensitive, specific, stoichiometric, and stable fluorescent dye for DNA. DNA ploidy of a breast cancer which was near-triploid with FCM and ICM was also assessed with 3DICM in a tissue section adjacent to the section used for FCM and ICM and the results were compared. The integrated 3DICM fluorescence intensity showed good linearity (r = 0.99) with the real DNA content of all nuclei analysed. In human tissue, the coefficient of variation of 3DICM for haploid (n = 12), diploid (n = 63), triploid (n = 13), tetraploid (n = 12), and octaploid (n = 3) ploidy distributions was 5.1, 6.6, 4.2, 4.0, and 0.6 per cent, respectively (n = the number of nuclei). For the rat liver, the CV of the diploid (n = 21), tetraploid (n = 31), and octaploid (n = 3) peaks was 6.7, 4.8, and 1.6 per cent, respectively. Repeated "blind' measurements of nuclei with different DNA indices showed excellent reproducibility between different observers (r = 0.98). It is concluded that the 3DICM method used is accurate, reproducible, and clinically feasible in thick histological sections. This is especially important in small lesions, or if the results of DNA ploidy measurement of single cell suspensions (by FCM) or imprints (by ICM) are inadequate.

Automatic multiparameter fluorescence imaging for determining lymphocyte phenotype and activation status in melanoma tissue sections

A system has been developed that combines multiparameter fluorescence imaging and computer vision techniques to provide automatic phenotyping of multiple cell types in a single tissue section. This system identifies both the nuclear and cytoplasmic boundary of each cell. A routine based on the watershed algorithm has been developed to segment an image of Hoechst-stained nuclei with an accuracy of greater than 85%. Deformable splines initially positioned at the nuclear boundaries are applied to images of fluorescently labelled cell-surface antigens. The splines lock onto the peak fluorescence signal surrounding the cell, providing an estimate of the cell boundary. From measurements acquired at this boundary, each cell is classified according to antigen expression. The system has been piloted in biopsies from melanoma patients participating in a clinical trial of the antibody R24. Thin tissue sections have been stained with Hoechst and three different fluorescent antibodies to antigens that permit the typing and evaluation of activity of T-cells. Changes in the infiltrates evaluated by multiparameter imaging were consistent with results obtained by immunoperoxidase analysis. The multiparameter fluorescent technique enables simultaneous determination of multiple cell subsets and can provide the spatial relationships of each cell type within the tissue.

Penetration and binding of monoclonal antibody in human osteosarcoma multicell spheroids. Comparison of confocal laser scanning microscopy and autoradiography

Penetration and binding of monoclonal antibody (MAb) in multicell osteosarcoma spheroids have been studied by autoradiography and confocal laser scanning microscopy (CLSM). Optical sectioning of the 3-dimensional spheroids was performed by CLSM. Owing to attenuation of fluorescence intensity, FITC-labelled MAb could not be detected at depths greater than 60 microm within the spheroids. The antibody uptake seen in autoradiographs and CLSM images 60 microm within the spheroids were essentially identical. MAb had reached all parts of the spheroids within 6 h. Quantitative measurements of the fluorescence intensity of FITC-labelled MAb seen in confocal images and measurements of MAb bound per cell using flow cytometry, showed that maximum uptake was reached after 6 h. The possibility to perform both quantitative and qualitative measurements makes CLSM a promising method for studying antibody uptake in thick tissue samples.

A method to compensate for light attenuation with depth in three-dimensional DNA image cytometry using a confocal scanning laser microscope

A method to compensate for attenuation of detected light with increased depth of the collected optical section, and its application in three-dimensional (3-D) DNA image cytometry is described. The method is based on studying the stack of 2-D histograms that can be formed from each consecutive pair of sections in a stack of optical serial sections. An attenuation factor is calculated interactively and a new compensated section series is computed. Formalin-fixed paraffin-embedded rat tissue was stained with propidium iodide. Each cell nucleus is extracted by thresholding and its total intensity is calculated. The coefficient of variation (CV) of the total intensity of all cells in each stack is computed. For comparison the CV of the same cells is computed in the uncompensated stacks. This study shows a significantly lower CV for the compensated data, thus contributing to the accuracy of DNA quantification in 3-D DNA image cytometry.

Three-dimensional co-location of RNA polymerase I and DNA during interphase and mitosis by confocal microscopy

The relative three-dimensional co-location of RNA polymerase I (RPI) and DNA was studied using confocal laser scanning microscopy during interphase and all the steps of mitosis in human cancerous cells. For each step of the cell cycle, immunolabeled RPI molecules and DNA specifically stained with chromomycin A3 were simultaneously imaged at high resolution through numerous optical sections. Then, all the data obtained were used to generate transverse sections, anaglyphs and volumic representations, which are all prerequisite approaches to a representative study of the three-dimensional organization of the nucleolus and the mitotic chromosomes. Our results indicated that in the interphasic nuclei, in which DNA is organized as a regular 3-D network, RPI was present within numerous irregular spheres arranged as several twisted necklaces. During metaphase, RPI labeling was segregated into pairs of spheres and typical crescent-shaped structures; both were centrally located within the set of chromosomes. During anaphase and telophase, a typical central and symmetric arrangement of labeled structures was systematically seen among the decondensing chromosomes, arranged as a regular cylinder and as a hollow half-sphere, respectively. This typical 3-D organization of structures containing RPI relative to DNA is another strong example of the non-random organization of the genome during interphase and mitosis.

Quantitative recording of vitality patterns in living multicellular spheroids by confocal microscopy

Fluorescent dyes were used in conjunction with confocal microscopy to record the vitality status of cells in multicellular glioma spheroids. Multicellular spheroids are in vitro models for micrometastases or intravascular microregions of large tumors. With progressing growth three distinct concentric annular shells develop. A rim of proliferating cells in the periphery is followed towards the center by layers of quiescent cells and at a defined spheroid diameter cell death occurs in the central core. Fluorescein diacetate (FDA) and Calcein/AM were used as vital stains and Lucifer Yellow/VS (LYVS) was used as a marker for dead cells. For loading multicellular spheroids with the esterase substrate dyes we used a two step cold incubation technique to avoid dye accumulation in the most peripheral cell layers. Homogenously stained tissue allowed to describe the fluorescence attenuation in depth as a monoexponential decay. An attenuation coefficient C was calculated from calibration experiments to be 12.5 x 10(-3) in vital stained tissue and 17.9 x 10(-3) in lethal stained tissue. Using the respective attenuation coefficient the raw data were corrected for light absorption and scattering in depth. In radial recordings of the vitality status of multicellular glioma spheroids using CLSM-technique we showed that spheroids up to a diameter of 250 microns were homogenously stained with Calcein/AM and FDA. Spheroids larger than 250 microns consist of vital stained cells and unstained cells. They do not show dead cell staining until they reach a diameter of about 400 microns. The thickness of the rim of vital stained cells decreased with increasing diameter of the spheroids to 64 +/- 7 microns in spheroids of a diameter of 550 +/- 25 microns. Thereafter the thickness of the Calcein/AM or FDA stained rim augmented again, reaching 93 +/- 9 microns in spheroids of 700 microns in diameter. The first signs of dead cell staining in the central core occurred at a diameter of 400 +/- 25 microns. The radius of the core increased in an exponential way. The cell layer which was stained neither by vital nor by lethal dyes showed a thickness of 150 microns in spheroids of 550 +/- 25 microns in diameter. Our staining technique and the radial recording of mean field fluorescence signals in living multicellular spheroids will be a valuable tool for experimental cancer research providing a non invasive quantification of cell vitality in living multicellular spheroids.

Combined analysis of in situ hybridization, cell cycle and structural markers using reflectance and immunofluorescence confocal microscopy

A method for the simultaneous detection of mRNA by reflectance in situ hybridization (RISH), cell cycle and structural markers by immunofluorescence using confocal laser scanning microscopy is presented. The mRNA expression of two ras-related genes rhoB and rhoC was analysed in human breast cancer cell lines and human histological specimens (breast cancer tissues and skin biopsies). In breast cancer cell lines, the conditions were optimized to detect RNA-RNA hybrids and DNA synthesis after pulse-labelling with bromodeoxyuridine. Endonuclease-exonuclease digestion, which allows the accessibility to specific antibodies of halogenated pyrimidine molecules, was carried out following ISH. Finally, cytokeratin or vimentin staining was performed. The detection of signals, arising from 1-nm colloidal gold particles without silver enhancement, by reflectance confocal laser scanning microscopy is described. Bromodeoxybiridine DNA markers and cytokeratin/vimentin staining were detected concomitantly using different fluorochromes. To allow comparative expression of two related genes, the mRNA of rhoB and rhoC were detected using digoxigenin- or biotin-labelled riboprobes and, after 3-D imaging, a detailed analysis by optical horizontal (x, y) and vertical (x, z) sectioning was undertaken. The subsequent bromodeoxyuridine detection procedure permitted to us explore the specific transcription of these two genes during S and non-S phases. This method allows the identification and localization of several subcellular components in cells within a complex tissue structure and makes it possible to analyse further transcript localization in relation to the function of the encoded protein and to the cell cycle.

Highly sensitive, specific, and stable new fluorescent DNA stains for confocal laser microscopy and image processing of normal paraffin sections

The area, volume, shape, DNA content, and chromatin pattern of nuclei can be important for the diagnosis and prognosis of cancers. Confocal laser scan microscopy can be useful to obtain such information by optical slicing and three-dimensional (3-D) reconstruction of nuclei in thick paraffin sections. To retrieve individual quantitative features from the section, highly sensitive, specific, and stable fluorescent stains are required. Two new nuclei acids stains (TOTO-1 iodide and YOYO-1 iodide) can detect picogram amounts of nucleic acids in gels. Despite their high sensitivity to detect DNA, they have not been used to stain nuclei in paraffin embedded tissue sections (as routinely applied in surgical cancer pathology). We have developed a technique to stain nuclei in 4% buffered formaldehyde fixed paraffin tissue sections using TOTO-1 iodide and YOYO-1 iodide. The technique developed gives bright specific staining of the nuclei (with nearly zero background intensity, much less than with acriflavine). Moreover, TOTO-1 iodide and YOYO-1 iodide stains both give fluorescent signals only when they interact with DNA. Thus washing off the excess stain left on the stained specimen is not necessary (washing of excessive stain is necessary with acriflavine). Care has to be taken that the deparaffinizing liquids (xylol etc.) are not polluted with eosin (a frequently used counterstain in surgical pathology specimens), as this gives undesired fluorescence of cytoplasm and connective tissue at the same wavelength as TOTO-1 iodide and YOYO-1 iodide. Contrary to acriflavine, bleaching of TOTO-1 iodide and YOYO-1 iodide fluorescence is minimal, even after 30 min continuous laser light excitation.(ABSTRACT TRUNCATED AT 250 WORDS)

Three-dimensional imaging and image analysis of hippocampal neurons: confocal and digitally enhanced wide field microscopy

The microscopy of biological specimens has traditionally been a two-dimensional imaging method for analyzing what are in reality three-dimensional (3-D) objects. This has been a major limitation of the application of one of science's most widely used tools. Nowhere has this limitation been more acute than in neurobiology, which is dominated by the necessity of understanding both large- and small-scale 3-D anatomy. Fortunately, recent advances in optical instrumentation and computational methods have provided the means for retrieving the third dimension, making full 3-D microscopic imaging possible. Optical designs have concentrated on the confocal imaging mode while computational methods have made 3-D imaging possible with wide field microscopes using deconvolution methods. This work presents a brief review of these methods, especially as applied to neurobiology, and data using both approaches. Specimens several hundred micrometers thick can be sampled allowing essentially intact neurons to be imaged. These neurons or selected components can be contrasted with either fluorescent, absorption, or reflection stains. Image analysis in 3-D is as important as visualization in 3-D. Automated methods of cell counting and analysis by nuclear detection as well as tracing of individual neurons are presented.

Automatic detection of clustered, fluorescent-stained nuclei by digital image-based cytometry

Automatic image-based cytometry (IC) can conveniently quantify the distributions of several specific, fluorescence-labeled molecules within individual, isolated cells of slide- or tissue-based specimens. However, many specimens contain clusters of cells or nuclei that are not detected as individual entities by existing automatic methods. We have developed analysis algorithms which detected individual nuclei occurring in clusters or as isolated nuclei. Specimens were labeled with a fluorescent DNA stain, imaged and the images were segmented into regions of nuclei and background. Clusters of nuclei, identified by their size and shape, were divided into individual nuclei by searching for dividing paths between nuclei. The paths, which need not be straight, possessed the highest average gradient per pixel. In addition, both high- and low-pass filtered images of the original image were analyzed. For each individual nucleus, one of the three segmented regions representing the nucleus (from either the original or one of two filtered images) was chosen as the final result, based on the closeness of the regions to average nuclear morphology. The algorithms correctly detected a high proportion of isolated (328/333) and clustered (254/271) nuclei when applied to images of 2 microns prostate and breast cancer sections. Thus, these algorithms should enable much more accurate detection and analyses of nuclei in intact specimens.

Reflectance in situ hybridization (RISH): detection, by confocal reflectance laser microscopy, of gold-labelled riboprobes in breast cancer cell lines and histological specimens

A method for reflectance in situ hybridization (RISH) is presented. The importance of the method is demonstrated by results obtained on cytological and histological breast cancer specimens. Scattering reflectance signals from 1-nm colloidal-gold particles after RNA/RNA in situ hybridization, using digoxigenin-labelled riboprobes, were detected by confocal scanning laser microscopy. The mRNA expression of two ras-related genes, rho B and rho C, was analysed in human histological breast cancer specimens and in human breast cancer cell lines. Horizontal (x, y) and vertical (z) optical sections after three-dimensional imaging were used for visualization. A marked heterogeneity (between individual cells and between specimens) was noted for the expression of the rho B gene, both in cytological and in histological samples. On the other hand, rho C was always expressed and showed no heterogeneity. This method allows the identification of several cellular constituents in an heterogeneous tissue structure, as demonstrated by the simultaneous detection of rho B (or rho C) by reflectance and of DNA, cytokeratin and/or vimentin by fluorescence.

From two dimensional (2D) to three dimensional (3D) analysis by confocal microscopy

The confocal microscope is becoming increasingly important as an apparatus to analyze the 3-D topography of the cell. Main reasons are the high resolution optical sectioning capacity, the non-invasiveness which leaves the object intact, and the imaging capabilities. This chapter introduces a description of the confocal principle, the basic concepts of confocal fluorescence microscopy and some criteria for cell preservation. Optimization of in situ immunofluorescence, hybridization and detection procedures in combination with new digital microscope techniques can fully express their capacities only if the preparation of biological specimens is accurate for 3-D analysis. Some applications of confocal microscopy to the study of intranucleolar antigens, enzyme translocations and fluorescence in situ hybridization, are described in association with 3-D software image processing, as a useful framework for the study of the 3-D visualization of proteins and chromatin domains.