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Detection of immunocytochemically stained rare events using image analysis.

The detection of rare-event cells circulating in peripheral blood using automated image analysis was evaluated using a model system consisting of cells from a breast cancer cell line (SKBR3) seeded in a mononuclear cell suspension. Slides of cells with optimal morphology were prepared according to an optimized preparation procedure based on centrifugal cytology in combination with formalin fixation. SKBR3 cells were immunocytochemically stained for cytokeratin using the cam 5.2 monoclonal antibody and labelled with alkaline phosphatase using CAS-red as substrate. Because, for optimal segmentation of cell images, plain differences in absorption wavelength are required, the red immunostaining was combined with a green nuclear counter-staining based on ethyl green. Slides were automatically screened for cytokeratin-positive SKBR3 cells resulting in a lowest detectable frequency of one positive cell per 1.87 x 10(6) negative cells. A comparison between manual screening and automated screening for cytokeratin-positive cells showed a high level of correlation (0.9998). For the definition of the total number of objects per slide, two counting procedures were evaluated. Results were close to the visual score with a coefficient of variation of 0.47% for the counting procedure used in this study. It is concluded that optimization of preparation and staining procedures for the detection of rare-event cells using automated image analysis results in optimal image contrast and, consequently, in an increase in sensitivity for detecting rare events.

Breast Neoplasms↗

Quantification and description of fracture network by MRI image analysis.

The contribution of fractures to total porosity and their geometrical descriptions have been studied by Image Analysis applied to 1H Magnetic Resonance Imaging (MRI). Reservoirs of different lithology were acquired with MSME 2D quantitative and 3D sequences. An image analysis procedure, developed ad hoc, was then applied to these acquisitions and the petrophysical parameters computed. These parameters range from fracture porosity to fracture density.

Magnetic Resonance Imaging↗

Computer imaging analysis of glomerular extracellular components in patients with IgA nephropathy.

Computer imaging analysis was used for quantitative evaluation of the extents, amounts and distributions of glomerular extracellular components, such as the 7S and NC-1 domains of type IV collagen, laminin (LN), fibronectin (FN) and IgA, in glomeruli from patients with IgA nephropathy. Renal biopsy specimens from 13 patients with IgA nephropathy were incubated with mouse monoclonal antibodies against the FN or non-collagenous (NC-1) domain of type IV collagen or polyclonal antiserum against the LN or 7S domain of human type IV collagen, and then stained with appropriate dilutions of FITC-labeled anti-mouse Ig antisera. Marked staining of the 7S or NC-1 domain of type IV collagen, LN or FN was detected in the glomerular capillary walls and/or mesangial areas in patients with IgA nephropathy. In particular, a prominent increase of FN was observed in the subendothelial regions of glomerular capillary walls, i.e. mesangial interposition, in the moderate or advanced stage of IgA nephropathy. Therefore, computer imaging analysis was shown to be useful for the quantitative determination of such components distributed in glomeruli from patients with IgA nephropathy.

Complement C3↗

Quantification of the cell infiltrate in synovial tissue by digital image analysis.

OBJECTIVE: The experience with digital image analysis (DIA) in the assessment of synovial inflammation is limited. In this study we compared DIA with two currently applied methods for the evaluation of the synovium. METHODS: Synovial tissue (ST) specimens were obtained by arthroscopy from knee joints of rheumatoid arthritis (RA) patients with variable disease expression and in control subjects. CD68+ macrophages and CD3+ T-cells were detected by immunohistochemical staining using two different labelling techniques. The labelled ST sections were quantified using three different analysis techniques: manual cell counting (MC), semi-quantitative analysis (SQA) and DIA. RESULTS: We observed strongly positive correlations between the three methods when examining T-cell infiltration: between MC and SQA: sigma=0.91 (P<0. 0001), between MC and DIA: sigma=0.95 (P<0.0001), and between SQA and DIA: sigma=0.83 (P<0.0001). Similarly, for the analysis of synovial intimal macrophages, positive correlations were noted between MC and SQA (sigma=0.62; P=0.002), MC and DIA (sigma=0.56; P<0.01), and SQA and DIA (sigma=0.79; P<0.0001). Finally, the analysis of synovial sublining macrophages revealed positive correlations between MC and SQA (sigma=0.95; P<0.0001), MC and DIA (sigma=0.64; P=0.001) and SQA and DIA (sigma=0.69; P<0.0001). CONCLUSION: These three different methods generated similar results. DIA offers the opportunity of a reliable and time-efficient analysis of the synovial infiltrate.

Aged↗

Application of automatic image analysis for quantitative morphological studies of peroxisomes in rat liver in conjunction with cytochemical staining with 3-3'-diaminobenzidine and immunocytochemistry.

We describe the application of automatic image analysis for quantitative morphological studies of peroxisomes in rat liver. For automatic detection by light and electron microscopy peroxisomes must be stained with the alkaline DAB procedure for catalase. There is a good agreement between the results obtained by conventional morphometric techniques and by automatic image analysis of DAB-stained electron microscopic preparations. Moreover, the image analyzer may be used in conjunction with a light microscope for evaluation of semithin sections (1-0.25 microns), provided the section thickness factor is taken into consideration. This latter approach has proven highly efficient in estimation of peroxisome proliferation. The limitations of this method and the relevance of volume density as a reliable morphometric parameter for evaluation of peroxisome proliferation are discussed. In the second part of this study we present the application of image analysis for quantitation of alterations of individual peroxisomal enzyme proteins after treatment with bezafibrate in immunogold stained ultrathin sections. There is good agreement between the results of quantitative immunocytochemistry and Western (immuno) blot analysis of highly purified peroxisomal fractions. In our experience quantitative immunoelectron microscopy provides a versatile, highly sensitive, and efficient method for detection of modulations of various proteins in peroxisomes. Finally the limitations and prospects of quantitative immunocytochemistry for investigation of peroxisomal proteins are discussed.

3,3'-Diaminobenzidine↗

Computerized image analysis of p53 and proliferating cell nuclear antigen expression in benign, hyperplastic, and malignant endometrium.

CONTEXT: The endometrium is an intrinsically dynamic tissue with great capability for regeneration and proliferation; consequently, there is some overlap between features seen in benign, premalignant, and malignant lesions. This leads to marked intrabiopsy, interbiopsy, and interobserver variability. OBJECTIVE: We studied the specificity and sensitivity of computerized image analysis of molecular markers to evaluate its potential use as a diagnostic tool. DESIGN: Specimens from 100 patients were examined and the following histologic diagnoses were assigned: proliferative endometrium (n = 10), secretory endometrium (n = 10), endometrial hyperplasia (n = 40; 30 with no atypia, 10 with atypia), and carcinoma (n = 40; 20 endometrioid, 10 serous, and 10 clear cell). All cases were evaluated immunohistochemically for p53 and proliferating cell nuclear antigen (PCNA) expression. Computerized image analysis was performed with a CAS 200 digital analyzer. RESULTS: Expression of p53 was found only in carcinomas (65%) and endometrial hyperplasia with atypia (30%). Expression of p53 was higher in the poor prognostic categories (serous carcinoma and clear cell carcinoma) than in endometrioid carcinoma. In endometrioid carcinoma, p53 expression correlated with grade. Proliferating cell nuclear antigen showed a similar pattern of results to p53 in the various carcinoma subtypes and endometrioid carcinoma grades. Endometrial hyperplasia PCNA values were the lowest among all the groups. Both carcinomas and proliferative endometrium showed higher glandular and stromal PCNA values, significantly different from endometrial hyperplasia with atypia. In proliferative endometrium, stromal PCNA was the highest among all of the groups. The p53 and PCNA results correlated with each other for carcinoma. CONCLUSIONS: Computerized image analysis correlates well with the established morphologic groups of endometrial pathology and yields results consistent with previous studies. Owing to its higher degree of sensitivity, computerized image analysis is of potential use in cases of diagnostic dilemmas and can help objectively allocate the case in the correct category (e.g., proliferative endometrium vs. endometrial hyperplasia, endometrial hyperplasia with atypia vs. endometrioid carcinoma). It is particularly useful in the evaluation of stromal changes.

Carcinoma↗

The importance of video editing in automated image analysis in studies of the cerebral cortex.

Editing of the video image in computerized image analysis is readily accomplished with the appropriate apparatus, but slows the assay very significantly. In dealing with the cerebral cortex, however video editing is of considerable importance in that cells are very often contiguous to one another or are partially superimposed, and this gives an erroneous measurement unless those cells are artificially separated. Also important is elimination of vascular cells from consideration by the automated counting apparatus. A third available mode of editing allows the filling-in of the cytoplasm of cell bodies which are not fully stained with sufficient intensity to be wholly detected. This study, which utilizes 23 samples, demonstrates that, in a given area of a histologic section of cerebral cortex, the number of small cells is greater and the number of large neurons is smaller with editing than without. In that not all cases follow this general pattern, inadequate editing may lead to significant errors on individual specimens as well as to the calculated mean. Video editing is therefore an essential part of the morphometric study of cerebral cortex by means of automated image analysis.

Aged↗

Automated screening for cytomegalovirus infected cells using image analysis. Comparison of two immunoenzymatic staining methods with respect to colour segmentation.

The detection of human cytomegalovirus (HCMV) infected poly-morphonuclear leukocytes (PMNLs) for early finding of the pp65 antigen using automated image analysis has been improved. The routinely used immunoenzyme peroxidase (PO) labelling has been replaced by alkaline phosphatase (AP) using new fuchsin as substrate. The number of automatically detected false positive objects due to incomplete inactivation of endogenous peroxidase and strong variations in counterstain intensity could be reduced by 81% using this AP staining method. The number of detected truly positive cells with both staining methods was not significantly different. Furthermore, a new image analysis system providing processing of colour images was evaluated. Since plain differences in absorption wavelength are required for colour segmentation, the red immuno-staining was combined with a green counterstain using methyl green. Screening of AP- instead of PO-stained slides in combination with colour segmentation resulted in a further reduction of the number of falsely detected alarms from 61% to 11%. Consequently, the sensitivity of the automated detection was improved. For AP staining detection of cells in frequencies of approximately one to one million was demonstrated. Screening for CMV-positive, alkaline phosphatase labelled cells using an image analysis system with colour segmentation resulted in a reduced false alarm rate, a better visual interpretation of the images and subsequently an increase in the sensitivity of the automated screening process.

Cytomegalovirus↗

Plasma cell quantification in bone marrow by computer-assisted image analysis.

BACKGROUND: Minor and major criteria for the diagnosis of multiple meloma according to the definition of the WHO classification include different categories of the bone marrow plasma cell count: a shift from the 10-30% group to the > 30% group equals a shift from a minor to a major criterium, while the < 10% group does not contribute to the diagnosis. Plasma cell fraction in the bone marrow is therefore critical for the classification and optimal clinical management of patients with plasma cell dyscrasias. The aim of this study was (i) to establish a digital image analysis system able to quantify bone marrow plasma cells and (ii) to evaluate two quantification techniques in bone marrow trephines i.e. computer-assisted digital image analysis and conventional light-microscopic evaluation. The results were compared regarding inter-observer variation of the obtained results. MATERIAL AND METHODS: Eighty-seven patients, 28 with multiple myeloma, 29 with monoclonal gammopathy of undetermined significance, and 30 with reactive plasmocytosis were included in the study. Plasma cells in H&E- and CD138-stained slides were quantified by two investigators using light-microscopic estimation and computer-assisted digital analysis. The sets of results were correlated with rank correlation coefficients. Patients were categorized according to WHO criteria addressing the plasma cell content of the bone marrow (group 1: 0-10%, group 2: 11-30%, group 3: > 30%), and the results compared by kappa statistics. RESULTS: The degree of agreement in CD138-stained slides was higher for results obtained using the computer-assisted image analysis system compared to light microscopic evaluation (corr.coeff. = 0.782), as was seen in the intra- (corr.coeff. = 0.960) and inter-individual results correlations (corr.coeff. = 0.899). Inter-observer agreement for categorized results (SM/PW: kappa 0.833) was in a high range. CONCLUSIONS: Computer-assisted image analysis demonstrated a higher reproducibility of bone marrow plasma cell quantification. This might be of critical importance for diagnosis, clinical management and prognostics when plasma cell numbers are low, which makes exact quantifications difficult.

Algorithms↗

Application of image analysis techniques to two-dimensional crossed immunoelectrophoresis study.

Two-dimensional crossed immunoelectrophoresis (2D-CIEP) is a technique widely used for studying composition of protein mixtures in biological and clinical studies. A low cost image analysis system with the use of an optical flatbed scanner and a IBM-compatible PC was set up in this work for capturing 2D-CIEP patterns. A computer package CIEPEASY was developed for modification and analysis of the image acquired to determine various peak parameters such as the migration distance, peak height and peak area of the constituting components for both qualitative and quantitative studies. In this approach, more composition information of the standard and sample gel patterns could be extracted from the proposed image analysis system. The time required for data collection and interpretation of 2D-CIEP images was shortened significantly and the results obtained have a higher accuracy than those obtained by using conventional methods. Moreover, a linear relationship between the peak area and the amount of antigen present in a sample was confirmed accurately and reported for the first time in the literature.

Antigens↗

Video-endoscopy and digital image analysis of the nasal valve area.

The aim of this study was to evaluate the benefit of digital image analysis of video-endoscopic images of the valve area to study changes in cross-sections of the nasal valve area before and after nasal surgery. Fifty patients scheduled for septoplasty or septorhinoplasty were included. Successful recordings of the valve area and digitally calculated cross-sections of the nasal valve area served as main outcome measures. First, various endoscopes (rigid 0 degrees - and 25 degrees -endoscopes and fibreoptic 0 degrees -endoscope) were tested and video-endoscopy was standardised in 39 patients. Second, preoperative and postoperative images of the nasal valve area in 11 patients with obstruction of the nasal valve area were digitally analysed and compared. In these patients, a significant widening of the valve area could be shown postoperatively. We conclude that digital image analysis of the nasal valve area can be helpful in the measurement of cross-sections of the nasal valve area before and after nasal surgical procedures in selected patients.

Adult↗

Computerized assessment of production of multiple human cytokines at the single-cell level using image analysis.

A technique using a computerized image analysis system was developed for evaluating and quantifying human cytokine production. This system registered single cells as positive or negative cytokine producers based on a specific juxtanuclear staining pattern generated by accumulation of the proteins in the Golgi-endoplasmatic reticulum compartment. The characteristic morphology of the immunocytochemical staining offered the opportunity to register individual producer cells within multicomponent cell populations. A color camera was then adapted to transfer on-line images directly into the computer-controlled operating system. In this study cultured human peripheral blood mononuclear cells were polyclonally stimulated and then analyzed for interleukin-1alpha (IL-1alpha), IL-1beta, IL-1ra, IL-2, IL-4, IL-6, IL-8, IL-10, tumor necrosis factor-alpha (TNF-alpha), TNF-beta, interferon-gamma, granulocyte colony-stimulating factor and granulocyte-macrophage colony-stimulating factor production. The image-analyzing system detected cytokine-producing cells in a sensitive and reproducible manner, which was in total congruence with enumeration by conventional microscopy. Furthermore, accurate assessments of cell distributions by signal intensity and cell area were applied at the single-cell level. The image-analyzing system allowed the detection of at least 1 in 1,000 events by using unique cytokine-associated morphometric criteria. The results of kinetic studies measuring cytokine production following activation and cell transformation provided data supporting increases in intensity of intracellular localized specific immunostaining and in cell size within the cytokine-producing cells.

Adult↗

Diagnosis of chronic atrophic gastritis by morphometric image analysis. A new method to overcome the confounding effect of the inflammatory infiltrate.

The risk of gastric cancer increases with the severity of gastric mucosal atrophy. Atrophy is a 'loss of properly specialized glands'. These glands may be substituted by metaplastic cells and by interstitial fibrosis, or displaced by an inflammatory infiltrate. Agreement among pathologists for the diagnosis of atrophy is poor (kappacoefficient < 0.4), probably because inflammatory infiltrate can confound the identification of gland loss. The aim of this study was to evaluate interstitial fibrosis by image analysis, and thereby overcoming the confounding effect of the inflammatory infiltrate. Gastric biopsies of 40 controls (20 children and 20 adults) and 111 patients with chronic atrophic gastritis were examined. Patients underwent another biopsy a year later. Gastric sections were examined by conventional histology (updated Sydney system) and image analysis to detect collagen and non-collagen fibres. There were no significant intra- or inter-operator differences in the evaluation by image analysis of fibre content in either controls or patients. In both controls and patients, the mean percentage of collagen fibres was lower in the gastric body (9%) than in the antrum (10%). In the antrum it was 14%, 17% and 20% in patients with mild, moderate and severe atrophy, respectively. A year later, histology showed that the grade of atrophy had decreased in 42%, probably due to the regression of inflammation, and increased in 10% of cases, but interstitial fibrosis (expressed as collagen fibre content) was practically unchanged. The use of image analysis of gastric biopsies appears to be a reliable method with which to measure interstitial fibrosis, even in the presence of an inflammatory infiltrate. This study highlights the difference between 'real gastric atrophy', where glands are replaced by collagen fibres, and 'apparent gastric atrophy', where glands are displaced by an inflammatory infiltrate.

Adolescent↗

Bi-exponential proton transverse relaxation rate (R2) image analysis using RF field intensity-weighted spin density projection: potential for R2 measurement of iron-loaded liver.

A bi-exponential proton transverse relaxation rate (R(2)) image analysis technique has been developed that enables the discrimination of dual compartment transverse relaxation behavior in systems with rapid transverse relaxation enhancement. The technique is particularly well suited to single spin-echo imaging studies where a limited number of images are available for analysis. The bi-exponential R(2) image analysis is facilitated by estimation of the initial proton spin density signal within the region of interest weighted by the RF field intensities. The RF field intensity-weighted spin density map is computed by solving a boundary value problem presented by a high spin density, long T(2) material encompassing the region for analysis. The accuracy of the bi-exponential R(2) image analysis technique is demonstrated on a simulated dual compartment manganese chloride phantom system with relaxation rates and relative population densities between the two compartments similar to the bi-exponential transverse relaxation behavior expected of iron loaded liver. Results from analysis of the phantoms illustrate the potential of bi-exponential R(2) image analysis with RF field intensity-weighted spin density projection for quantifying transverse relaxation enhancement as it occurs in liver iron overload.

Animals↗

Extensible and object-oriented system Eos supplies a new environment for image analysis of electron micrographs of macromolecules.

To study macromolecular structure by electron microscopy, a highly extensible and object-oriented system has been developed for image analysis. This system is named "Eos" (Extensible and object-oriented system). The system described here supplies an environment with four types of supports: (i) a group of small tools for image analysis, (ii) tools for integration of small tools, such as "Display2," (iii) tools for development, such as "maketool," and (iv) object-oriented libraries for development of new tools. Using Eos, electron micrographs can be analyzed by small tools and integration tools. In addition, Eos can be used to develop new tools based on new ideas because development tool and object-oriented libraries are provided. The examples of implemented small tools for image analysis include three-dimensional reconstruction of objects with helical symmetry, cluster analysis, and contour expression.

Actins↗

Quantifying collagen type in mature burn scars: a novel approach using histology and digital image analysis.

Using Herovici staining and digital image analysis, we have studied the collagen subtype and fiber orientation in mature burn scars. These techniques have shown mature burn scars to have increased type I/type III collagen ratios compared with normal skin. Additionally, the collagen orientation of burn scars has been shown to be thickened, tightly packed, and lacking the "basket weave" appearance of normal skin specimens. These techniques allow the differentiation of type I collagen from type III collagen, the assessment of collagen orientation, and the analysis of scar architecture in terms of epidermis and papillary/reticular dermis contribution. These findings are important clinically because collagen subtype and fiber orientation may predict future scar activity. Any attempt to modify the scarring process can be directly measured and compared using this easily reproducible technique.

Adolescent↗

Basic strategies for valid cytometry using image analysis.

The present review provides a starting point for setting up an image analysis system for quantitative densitometry and absorbance or fluorescence measurements in cell preparations, tissue sections or gels. Guidelines for instrumental settings that are essential for the valid application of image analysis in cytophotometry and cytofluorometry are described. The general principles of the working mechanism of CCD cameras in combination with general methods to improve the behaviour of the cameras are presented. Optimization of illumination of microscopical and macroscopical objects receives special attention because of its importance for valid cytometry. Sources of errors in quantitative measurements are listed and step-by-step charts for tuning the CCD camera, frame grabber and illumination for the optimal use of the systems are described. Suggestions are given for improvement of image arithmetic in difficult imaging situations, such as low fluorescence signals and high absorbance signals.

Absorption↗

The application of image analysis in the measurement of the myocardial infarct area in an experimental model.

BACKGROUND: Thrombolytic therapy improves left ventricular ejection fraction and survival. Using the image analysis method, the study was undertaken to evaluate the effects of intraaortic balloon pump used in conjunction with reperfusion in reducing infarct size by measuring the infarct area. Also, the usefulness of image analysis as an objective method for the measurement of myocardial infarct area is evaluated. METHODS: 22 dogs were subjected to proximal left anterior descending coronary artery occlusion. The dogs were classified into 3 groups. In group I (n = 7), occlusion lasted for 6 hours. In group II (n = 6), 2 hours of occlusion were followed by reperfusion. In group III, (n = 9) after 2 hours of occlusion, the dogs were assisted with the intraaortic balloon pump throughout the 4 hours of reperfusion. The measurement of the infarcted area components (fragmentation, edema, hemorrhage and polymorphonuclear infiltrations) was followed by a semiautomatic method including in connection a microscope photographic camera, a scanner and a computer with the appropriate software. The results were analyzed statistically using the t-test. RESULT: In group I, the mean value of fragmentation was 28.2%, in group II, 10.1% (p < 0.01 versus group I) and in group III, 3.9% (p < 0.01 versus I and p < 0.05 versus group II). CONCLUSION: Reperfusion and intraaortic balloon pump increased the salvage of the ischemic myocardium over that achieved by reperfusion alone in a canine occlusion - reperfusion model. Image analysis could be considered as an accurate and objective method for the measurement of the myocardial infarct area in the experimental model of our study and it could be used in any other experimental study in which the accurate measurement of myocardial infarct area is needed.

Animals↗