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PubMedDate not supplied

Image analysis of catecholamine fluorescence.

Image analysis methods are being developed for measuring the density and distribution of perivascular noradrenergic nerves and their varicosities, demonstrated by fluorescence histochemistry. Image analysis is recommended in comparison with other methods for the quantitation of fluorescence, because image resolution is greater and larger areas of tissues can be scanned and measured more rapidly. Applications of image analysis have provided new and valuable information regarding sympathetic nerves: for example, we have shown rapid growth of perivascular nerves during perinatal development in the rabbit, and loss of nerves in different vessels in postnatal life and in old age; regional variations of nerve density and varicosity numbers in the central ear artery of the rabbit have also been demonstrated.

Adrenergic Fibers↗

PubMed1991

Mast cell fixation and staining in image analysis.

Modern image analysers automatically perform densitometric measurements and elaborate digital images. Elaboration however is subject to operator interpretation and often eliminates precious information from the areas of interest. For this reason, it was appropriate to find a staining method which would overcome this drawback and, in the case of mast cell histochemistry, limit staining to granule content. The following current staining techniques were tested: Toluidine Blue in buffered solution (solut. a) and in 0.003% alcoholic solution (solut. b) and alcoholic Astra Blue, pH 0.2 Densitometric analysis was performed on both 5 microns and semithin sections of mouse tongue fixed in Isotonic formaldehyde-acetic acid (IFAA). Digital images were obtained using 630 nm and 546 nm wavelengths for Toluidine Blue and 610 nm for Astra Blue. Direct comparison between the two Toluidine Blue solutions revealed that more pixels were captured by the 5 microns sections stained with solut. a, whilst the opposite occurred in semithin sections. Both dyes introduced a certain amount of error due to the orthochromatic component of the nucleus and cytoplasmic basophily, which had to be eliminated through image elaboration. Because of its subjective nature, this operation may in turn lead to further errors. The choice of Astra Blue as an alternative to Toluidine Blue in densitometric analysis of mastocytes is based on its property to restrict staining to the granules of mast cells. A comparison between Astra Blue and the two Toluidine Blue solutions showed that, at all transmission levels, preparations stained with Astra Blue captured more pixels than those stained with Toluidine Blue. Consequently our results suggest that the most suitable technique for densitometric image analysis is fixation of mast cells in IFAA followed with Astra Blue.

Animals↗

PubMed1997

Quality assurance in DNA image analysis on diploid cells.

DNA image analysis is presently performed in many laboratories. Before general extrapolation of results between different laboratories, validation has to be performed for interlaboratory studies on DNA image analysis. The aim of this study was to establish the performance of different DNA image analysis instruments when measuring different diploid cells. On three separate parts of the same object slide, human liver cells, white blood cells, and imprints of a breast fibroadenoma were sampled. In this quality assurance interlaboratory study, 13 laboratories participated voluntarily. Two slides were sent to each participating laboratory: one Feulgen and one unstained to be stained according the participating laboratory in-house procedure. The features integrated optical density (IOD) and object AREA were recorded for each nucleus. For calculation of the results, the average IOD value of liver diploid cells was set at 2c. A striking difference was observed between the different presumed diploid cell types, from almost 1c to 3c. This variation was not dependent on central or in-house staining. Although in-house calibration was performed for each image analysis system, a surprisingly large variation existed in the reported object AREA, irrespective of the cell type. These results clearly demonstrate that measurements performed in one laboratory cannot be extrapolated to the outcome of others and support the need for standardization. The use of external control cells works well for comparison of instruments. In conclusion, in DNA image analysis quality control is necessary, standardization is obligatory, and the use of an internal control for determination of the diploid peak in a histogram of patient samples is recommended.

Breast Neoplasms↗

PubMed1989

The PARTICLE expert system for tumor grading by automated image analysis.

While automated microscopic image analysis of histologic sections has been helpful in objectivizing histologic tumor grading and investigating the relationships between grading and prognosis, expert systems have the potential of linking image analysis and other data for statistical analysis and application to a wider range of tumors. One such expert system is PARTICLE, whose development was based on many years of experience in resolving histologic problems by image analysis. This paper discusses the philosophy of expert system for tumor grading and describes its implementation in the PARTICLE system. The system's structure, operations and applications are briefly presented. PARTICLE is essentially based on the evaluation of karyometric data.

Cell Nucleus↗

PubMed1994

Image analysis and synthesis of multimodal images in medicine.

Radiologic and clinical practice can be enhanced by improved access to multimodal image information. Analysis, visualization, method characteristic image processing and image synthesis is needed not only for the interpretation of the images but also for performing effective consultations with clinical colleagues and computer supported therapy planning and control strategies. A method is presented which enables the fast display, three-dimensional visualization and the modality oriented analysis of multimodal image information. Based on a unique image format, modality specific procedures and two- or three-dimensional processing tools of image analysis produce the input data for therapy planning programs. The easy use of this multimedia visualization tool enables radiologists and clinicians to deal with their image data. The description of methods and procedures, as well as typical examples of radiologic practice will demonstrate the efficiency of the presented system.

Algorithms↗

PubMed1994

Measurement of hybridoma cell number, viability, and morphology using fully automated image analysis.

A novel automated image analysis method is described for characterizing the viability and morphology of animal cells from suspension cultures. With the aid of the exclusion dye Trypan Blue, the total and viable cell counts and the percentage of dead cells present are found. The area, perimeter, equivalent diameter, and circularity of the projected image of each cell are also measured, allowing the estimation of cell volume. The image analysis method is inherently sensitive, precise, consistent (non-operator dependent) and relatively fast, taking approximately 22 min to analyze one sample. The data it gives on individual cellular activity, as characterized by Trypan Blue uptake and cell morphology, are valuable in allowing early diagnosis of even subtle changes in the health of a culture. The method should permit better optimization of culture conditions, and will provide data for the modeling of cell population dynamics. As the conventional manual method is operator dependent, relatively limited in the amount of information it provides, and has a tendency to underestimate Trypan Blue takeup, it is suggested that image analysis be the preferred option for animal cell counting and viability determinations.

Animals↗

PubMed1992

Quantitative DNA analysis and proliferation in breast carcinomas. A comparison between image analysis and flow cytometry.

The DNA content and proliferation in 100 invasive breast carcinomas were evaluated by computerized image analysis (IA) and flow cytometry (FCM). For DNA content, image analysis of Feulgen-stained slides of fresh tumor imprints were compared with flow cytometry of propidium iodide-stained disaggregated fresh tumor tissue. The DNA indices obtained by the two methods showed close correlation by linear regression analysis (r = 0.89, p less than .001). There were 44 (44%) diploid and 56 (56%) aneuploid tumors. There was agreement between the two methods in detection of aneuploidy in 81% of tumors. Image analysis required smaller tissue samples, permitted direct visualization and selection of tumor cells, and was more sensitive in detecting tetraploid and highly aneuploid cell populations. In contrast, flow cytometry histograms provided better resolution, and were more effective in detecting multiploid tumors and near-diploid aneuploid tumors. Aneuploidy was significantly related to various adverse prognostic parameters, namely, negative estrogen receptor, high mitotic rate, high histologic and nuclear grades. Proliferation was evaluated by measuring the FCM S phase fraction (SPF), and by image analysis quantitation of immunohistochemical staining using Ki-67 monoclonal antibody. SPF and Ki-67 count showed modest correlation (r = 0.42). Both SPF and Ki-67 count were significantly related to the mitotic rate, histologic and nuclear grades. Our results indicate that the two methods provide comparable results, but offer individual advantages and are complementary techniques in analyzing DNA ploidy and proliferation in breast carcinomas.

Adenocarcinoma, Mucinous↗

PubMed1995

Macroscopic assessment of pulmonary emphysema by image analysis.

AIMS: To propose a computerised image analysis based method for measuring, on paper mounted lung sections, the area macroscopically occupied by emphysema. METHODS: The study was based on the assessment of 69 lung sections prepared following a modified Gough-Wentworth technique. The results obtained from image analysis, point counting, and panel grading methods were compared, as was the repeatability of image analysis and panel grading. RESULTS: The results from image analysis and from point counting were not significantly different (p = 0.609) and significant quadratic regressions (r = 0.96, p < 0.001) were found between measurements from image analysis and from panel grading, the computerised technique being shown to be the most reproducible. CONCLUSIONS: Image analysis is a valuable and reproducible method to measure the area of lung macroscopically involved by emphysema.

Histocytological Preparation Techniques↗

PubMed1990

Quantitative energy-filtered image analysis in cytochemistry. II. Morphometric analysis of element-distribution images.

A combination of energy-filtered electron microscopy (EFEM) and an image-analysis system (IBAS/2000) is used for a morphometric analysis of chemical reaction products in cells. Electron energy-loss spectroscopic element-distribution images are acquired from cytochemical reaction products in a variety of cellular objects: (1) colloidal thorium particles in extra-cellular coat material, (2) iron-containing ferritin particles in liver parenchymal cells, (3) barium-containing reaction products in endoplasmic reticulum stacks, (4) elements present in lysosomal cerium- and barium-containing precipitates connected with acid phosphatase (AcPase) or aryl sulphatase (AS) enzyme activity. Areas or area fractions are determined from such element-distribution images by application of an objective image segmentation method. By superposition of two or more element-distribution images, mutual element relations are qualitatively established in lysosomal cerium- and barium-containing precipitates connected with acid phosphatase (AcPase) or aryl sulphatase (AS) enzyme activity. By comparing electron spectroscopic images (ESI) with element-distribution images, the mutual contrast per element relations are quantitatively investigated. The obtained gain in resolution in such electron energy-loss spectroscopic element-distribution images will be explained and discussed.

Animals↗

PubMed1992

Light microscopic morphometric analysis of peroxisomes by automatic image analysis: advantages of immunostaining over the alkaline DAB method.

The feasibility of light microscopic post-embedding immunocytochemistry for morphometry of peroxisomes using automatic image analysis was investigated and compared with the classical alkaline DAB method. Perfusion-fixed rat liver tissue was either embedded in LR White or incubated in the alkaline diaminobenzidine (DAB) medium for cytochemical visualization of catalase. Sections from the LR White-embedded material were incubated with a monospecific antibody against catalase, followed by protein A-gold and silver intensification. Determination of peroxisomal volume density in sections of different thickness revealed that the values increased with section thickness in DAB-stained sections but were unaffected in immunostained preparations. Moreover, the absolute value for volume density of peroxisomes, as determined by light microscopy in immunostained sections, was quite close to the value obtained by analysis of electron microscopic preparations. Finally, morphometric analysis of bezafibrate-induced peroxisome proliferation revealed that the ratio of proliferation obtained by light microscopy in immunostained sections was very close to the results obtained by electron microscopic morphometry. The main advantage of post-embedding immunostaining for light microscopic morphometry is that it restricts the immunocytochemical reaction product to the surface of the section, thus making it independent of section thickness.

3,3'-Diaminobenzidine↗

PubMed1992

Subcellular visualization of light microscopic specimens by laser scanning microscopy and computer analysis: a new application of image analysis.

To identify subcellular organelles or to observe their pathological changes in sections prepared for light microscopy, immuno- and/or enzyme histochemical staining for the marker substances or enzymes of those subcellular organelles are frequently employed. With conventional light microscopes (CLM), however, it is hardly possible to determine whether or not the target organelles are properly stained and to confirm their fine structure. In the present study, the laser scanning microscope (LSM) was employed to obtain highly contrasted images of histochemically stained subcellular organelles at the limit of resolution in light microscopy. To refine or characterize those images, images built up as electronic signals in LSM were further processed in the Image Analysis System (IAS) with pipeline. Thus, the approximate figures of subcellular organelles such as microtubules, endoplasmic reticula, secretory granules, and mitochondria were visualized in brightfield on sections prepared for light microscopy (paraffin, frozen sections and cultured living cells). The validity of the images obtained by LSM or LSM-IAS was confirmed by immunoelectron microscopy when possible. The LSM images of histochemically stained suborganelles of various cells were definitely improved (refined and/or strengthened) by processing them with IAS.

Endoplasmic Reticulum↗

PubMed1996

Breast carcinoma. Correlations between visual diagnostic criteria for histologic grading and features of image analysis.

OBJECTIVE: To investigate the relevance of image analysis for grading breast carcinomas. STUDY DESIGN: The results of histologic grading were correlated with 18 features of image analysis, including SD. "Simple" characteristics, like area and perimeter, shape indices, optical density and textural features of nuclei from cancer cells, were analyzed. Hematoxylin-eosin-stained tissue sections of 67 cancer specimens were routinely used for the study. RESULTS: We found statistically significant correlations between overall histologic grading and the sum of its subscores and features of image analysis, especially nuclear area, nuclear perimeter and the diameter of the circumscribing circle (diametercirc), including their SDs. The visually and therefore subjectively assessed subscore of the nuclear pleomorphism of histologic grading significantly correlated with the features of image analysis, like nuclear area, nuclear perimeter, diametercirc, integrated optical density and correlation (and their SDs). There were significant relationships between the absolute numbers of mitoses per 10 high-power fields and nuclear area, nuclear perimeter and diametercirc (and their SDs). We did not observe a significant correlation between the subscore of tubule formation of histologic grading and any of the features of the image analysis studied. Furthermore, the correlations between the features of image analysis and the subscores of the visual histologic grading system were analyzed with respect to each other. The subscore of nuclear pleomorphism of histologic grading correlated best with overall grading (r = .72), whereas no significant correlation could be found between the subscores of nuclear pleomorphism and mitotic activity. CONCLUSION: Image analysis provides objectivity and reproducibility to the grading of breast carcinomas and thus could contribute to more individualized prognostication of the disease.

Breast Neoplasms↗

PubMed1998

Multivariate image analysis of magnetic resonance images with the direct exponential curve resolution algorithm (DECRA). Part 2: Application to human brain images.

Owing to the heterogeneity of living tissues, it is challenging to quantify tissue properties using magnetic resonance imaging. Within a single voxel, contributions to the signal may result from several types of 1H nuclei with varied chemical (e.g., -CH2-, -OH) and physical environments (e.g., tissue density, compartmentalization). Therefore, mixtures of 1H environments are prevalent. Furthermore, each unique type of 1H environment may possess a unique and characteristic spin-lattice relaxation time (T1) and spin-spin relaxation time (T2). A method for resolving these unique exponentials is introduced in a separate paper (Part 1. Algorithm and Model System) and uses the direct exponential curve resolution algorithm (DECRA). We present results from an analysis of images of the human head comprising brain tissues.

Adult↗

PubMed1993

Point counting on the Macintosh. A semiautomated image analysis technique.

In image analysis, point counting is used to estimate three-dimensional quantitative parameters from sets of measurements made on two-dimensional images. Point counting is normally conducted either by hand only or manually through a planimeter. We developed a semiautomated, Macintosh-based method of point counting. This technique could be useful for any point counting application in which the image can be digitized. We utilized this technique to demonstrate increased vacuolation in white matter tracts of rat brains, but it could be used on many other types of tissue. Volume fractions of vacuoles within the corpus callosum of rat brains were determined by analyzing images of histologic sections. A stereologic grid was constructed using the Claris MacDraw II software. The grid was modified for optimum line density and size in Adobe Photoshop, electronically superimposed onto the images and sampled using version 1.37 of NIH Image public domain software. This technique was further automated by the creation of a macro (small program) to create the grid, overlay the grid on a predetermined image, threshold the objects of interest and count thresholded objects at intersections of the grid lines. This method is expected to significantly reduce the amount of time required to conduct point counting and to improve the consistency of counts.

Animals↗

PubMed1992

Computer-generated diagnosis and image analysis. An overview.

Image analysis provides quantitative data on morphology, cytochemical and histochemical reactions, the location of specific events or reaction sites, and statistical descriptions of the spatial distribution of such events relative to histologic structure. Image analytic methodology in correlation with histopathologic knowledge bases is an essential component in the development of an objective basis for histopathologic diagnostic decision making.

Humans↗

PubMed1991

DNA analysis of cardiac myxomas: flow cytometry and image analysis.

Cardiac myxoma is the most common primary tumor of heart, but there is a longstanding controversy over whether it is a true neoplasm or a reactive lesion. We analyzed 24 cardiac myxomas from 22 patients: 22 by DNA flow cytometry and five by image analysis. Two myxomas were aneuploid; one of those analyzed by flow cytometry, and the other by image analysis. Proliferative fractions (S + G2/M) were high in three tumors from patients with multiple myxomas (mean, 15.9%; SD, 4.0%) as compared with 12 solitary uncomplicated myxomas (mean, 7.7%; SD, 6.0%). S-phase and proliferative fractions were low in embolic, recurrent, and solitary myxomas. The presence of aneuploidy in some myxomas supports a neoplastic origin for this tumor.

Adult↗

PubMed1993

Measurement of osteoclasts and bone resorption by automated image analysis.

An automated image analysis method is described for measurement of osteoclasts and resorbing surface in calcified bone. Osteoclasts, osteoid, and mineralized bone were measured in a single section, reacted for acid phosphatase activity, and then stained with orange G and light green stain. Three images were acquired of each field with a monochromatic camera at illuminating wavelengths of 635, 540, and 480 nm (selected using a stage monochromator). These wavelengths were chosen according to the absorption spectra of the different image components to maximize absorption differences between osteoclasts (red), mineralized bone (blue/green), and osteoid (orange). These components were then discriminated according to operator-defined ranges of color density (mineralized bone) or color fraction (osteoid and osteoclasts). A gray level coded segmented image was produced, from which was determined the area, perimeter, and number of each component and the length of contact zones with the marrow and between these components. The method was evaluated by twice measuring 10 bone sections from patients with end-stage liver failure awaiting liver transplantation. The method was quite reproducible, with coefficients of variation varying between 4% for bone volume (% tissue volume) and 22% for osteoid surface (% bone surface). The sections were also measured using a previously established semiautomated method. Coefficients of variation between methods were higher varying between 4% for bone volume (% tissue volume) and 56% for osteoid volume (% bone volume). The automated method gave a substantial time saving compared to the semiautomated method. An interactive technique was used in adjacent sections to evaluate tetracycline labeling and osteoblast surfaces.

Adolescent↗

PubMed1983

Differentiation of human T and B peripheral blood lymphocytes by high-resolution cell image analysis.

Automated cell image analysis of light and electron microscopic pictures was used for differentiation of nonlabeled lymphocytes in blood smears and in smears of purified lymphocyte suspensions. The percentages of T and B lymphocytes were determined by a two-step rosette assay with sheep red blood cells (T cells) and an immunofluorescence assay with FITC-labeled antihuman globulin (B cells). Images from 1,400 Feulgen-stained and 12,000 Pappenheim-stained cells were analyzed. Various classification methods allowed two lymphocyte subpopulations to be discriminated at the light and electron microscopic levels on the basis of different visual and subvisual morphologic features. As found by immunologic methods, morphologically determined subpopulations corresponded to T and non-T cells, with no further differentiation of non-T cells into B or null cells possible. The results allow the conclusion that there are morphologic differences between human T and non-T cells, with the differences distinguishable from individual variations as well as from alterations induced by sample preparation.

B-Lymphocytes↗