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At least 19 recordsLinked to original sources

PubMed1977

Quantitative nuclear image analysis: differentiation between normal, hyperplastic, and malignant appearing uterine glands in a paraffin section. II. Computer assisted recognition by discriminant analysis.

Quantitative image analysis was applied to data from microscope photometry of nuclei in a paraffin section. The data were essentially the same as described in a previous publication (Baak and Diegenbach, 1977). The results from measurements on the nuclei of morphologically normal, atypical hyperplastic and carcinomatous uterine glands were used in discriminant analysis. With this method it is possible to discriminate between the three groups of nuclei. Depending on the (sub)set of the variables used, 60-70% of all nuclei are correctly classified in one of the three groups. Discrimination of one of the groups against the other two results in up to 81% correct classifications. Therefore, discriminant analysis offers a possibility of assisting diagnosis in an objective way.

Cell Nucleus↗

PubMed1992

DNASK--a new image analysis module for TV image cytometry.

The DNASK is a PC-based image analysis module for quantitative cytological and histological examinations on Feulgen-Schiff preparations. The module consists of a frame grabber, a CCD black and white video camera and the DNASK software package which can be incorporated in an IBM compatible PC-AT joining to a standard pathological research photo microscope. The use of 386 IBM AT systems leads to significant decrease of the measurement's time. Mono- or color VGA graphics card should be used. The resolution of the images is 512 x 512 pixels and 256 gray values. The image caption is made in less than 0.5 second, the measurement of a cell nuclei (18 parameters) takes less, than 5 seconds (IBM AT 286). The camera is a standard CCD one. The microscope should be a good quality, modern microscope with built-in light source, however, the application of voltage stabiliser is strongly recommended. The software is able to measure the parameters mostly used and suggested in the international literature: 15 morpho- and densitometric parameters of the cell nuclei 6 DNA histogram parameters of the measured case, like DNA Index, 2c deviation Index, 5c exceeding rate, G1-S-G2 phase fraction ratio. The system supports the grouping of the measured cases and at the end of a study results of the single measurements can be collected and summarized in an ASCII file, which is readable by major statistical programpackages. The DNASK has a special graphical user interface for the control of the program.

Algorithms↗

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↗

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

Biotechnological applications of image analysis: present and future prospects.

The current and potential biotechnological applications of image analysis and image processing systems are reviewed. Image analysis systems have proven to be highly versatile and efficient tools for assisting academic biotechnological research. It is expected that image analysis systems will allow more rapid and accurate quantification of numerous biotechnological analyses. There is, therefore, much scope for the implementation of image analysis/processing systems in a large variety of industrial and clinical applications.

Animals↗

PubMed1992

[Image-analysis of salivary tumors].

The image analysis of 49 cases of salivary tumors showed that the cellular DNA content of most tumors (42/49) was diploidy and near diploidy. The heteroploidy rate was only 14.29% (7/49), which may be related to such clinical behaviors of salivary tumors as slow growth, relative low invasivity and metastatic ability. Among these morphologic parameters, nuclear perim and form PE were closely correlated with the malignancy of salivary tumors, the former was positive and the latter was negative. The insignificant nuclear heteromorphous appearance of adenoid cystic carcinoma and its relatively high cellular DNA content may be related to strong invasivity and metastatic ability. In conclusion, these parameters of DNA content and nuclear morphology supplied by image analysis are of value in the diagnosis of salivary tumors.

Adenocarcinoma↗

PubMed1992

Predicting outcome for patients with node negative breast cancer: a comparative study of the value of flow cytometry and cell image analysis for determination of DNA ploidy.

This study was aimed at determining whether tumour DNA content measured by cell image analysis could provide additional prognostic information when compared to that provided by flow cytometry. Sections cut from paraffin blocks of tumours from 101 patients with node negative breast cancer were analysed by both methods and the results related to other prognostic variables and to patient relapse and overall survival. DNA ploidy measured by flow cytometry classified 46 tumours as diploid and 55 as aneuploid, whereas by cell image analysis 30 were diploid and 71 aneuploid (P less than 0.002). There were 20 tumours with discrepancies between the two methods; 18 of these were tumours with only one peak in flow analysis, but determined to be aneuploid with image analysis. DNA content as measured by both methods was significant for predicting relapse and survival by log-rank test, as were tumour histological grade, c-erbB-2 expression and tumour size. Multivariate analysis showed DNA ploidy measured by flow cytometry to be the only variable of independent significance (P less than 0.02) for both relapse and overall survival. Compared with cell image analysis, flow cytometry demonstrated a significantly higher proportion of diploid tumours, which may be related to differences in the internal standards applied to each method. We suggest that cell image analysis techniques can provide more sensitive information on the DNA content of tumour cells by direct measurement of nuclear DNA density of both normal lymphocytes and tumour cells in the same section. However, although image analysis appears to be more sensitive than flow cytometry in detecting DNA aneuploidy, the image technique appears to lack the specificity of flow cytometry in correlation with clinical outcome.

Adult↗

PubMed1992

One year's experience with two different image analysis systems for automated reading of the contrast fluorescence test.

We have tested two different personal-computer-based color image analysis systems for automated reading of the microlymphocytotoxicity test (LCT) for HLA-A,B,C typing and screening. Over 17,000 single LCT reactions were prepared using the simultaneous double fluorescent variant of the LCT (contrast fluorescence test, CFT). All tests were read visually by experienced laboratory staff members. For digital image analysis, an automated scanning system was used. The reactions were first recorded on a videotape recorder using a color (CCD) videocamera und subsequently analyzed with the two different image analysis systems by specifically developed programs. Good correlation (r = 0.89) of the score values assigned by digital image analysis with the visual tray reading was obtained. Since also the other main performance characteristics of the prototype system were acceptable for routine application, we may conclude that digital image analysis is a feasible and very interesting new technique for automated evaluation of the LCT.

Algorithms↗

PubMed1978

[Electronic image analysis in ophthalmology].

Based on experimental investigations a broad concept for the use of television image analysis in basic and clinical ophthalmology is given. This summary outline contents a short description of the technique and some examples for the clinical use of image analysis, like the measurement of corneal width and erosions, infrared pupillography, morphometry of the iris and quantitative fluorescence angiography. "Static" and "dynamic" image analysis are defined, the role of pattern recognition is mentioned. The results of the study demonstrate that television image analysis can be of great importance for the future of quantitative ophthalmology.

Corneal Diseases↗

PubMed2026

Digital pathology, image analysis, and artificial intelligence in liver disease.

Advances in digital pathology, image analysis, and artificial intelligence (AI) are rapidly transforming how pathologists and researchers interact with tissue samples and enable the development of diagnostic tools that harness high-resolution whole-slide images; these advances are in turn creating new opportunities for research, education, and routine clinical care globally. Liver disease is no exception, and digital pathology and AI have many applications in the diagnosis of liver cancer and liver diseases and in the assessment and management of transplantation. Although quantitative image analysis techniques have been applied to liver disease in research settings for over 50 years, recent improvements in image resolution, data storage, and the availability of advanced AI methods such as deep learning have driven multiple exciting developments. In this Review, we summarise the advancements in digital pathology, image analysis, and AI in liver disease. Key challenges such as access to and the logistics of using digital solutions, quality issues, and appropriate guidance in research and clinical use are reviewed, along with potential solutions to these challenges in the context of liver pathology and liver disease. Digital technologies are well established in liver pathology research, and access in clinical practice is increasing, with potential to address current laboratory challenges. Further evaluation is required to assess real-world effectiveness, clinical safety, and implementation of AI tools in liver pathology.

Journal Article↗

PubMedDate not supplied

Quantitation of cell area on glass and fibronectin-coated surfaces by digital image analysis.

By using digital image processing and analysis, two procedures were developed to rapidly measure the projected area of a field of adherent 3T3 fibroblasts without staining of cell borders. The cell area of newly attached and rounded cells with well-resolved borders was obtained by a gray value thresholding procedure. For cells that had undergone an appreciable degree of spreading, cell boundaries were less distinct and a nonlinear spatial Sobel filter was used, followed by thresholding. For both procedures, linear relations were observed between cell areas obtained from image analysis and cell areas obtained by tracing. The areas of a population of traced cells were not statistically different from the area distribution obtained by using the standard curves for the processed images. Uncertainty in the estimated mean area depended only upon the number of cells examined. Approximate numbers of cells required to obtain estimates of the mean are calculated. As an application of these procedures, cell areas were measured for 3T3 cells attached to glass and fibronectin-coated surfaces and were found to be significantly larger for cells spreading on fibronectin-coated glass than on glass alone. Increased cell area during spreading on fibronectin-coated surfaces was proportional to increased cell adhesivity after exposure to a shear stress of 58 dyn/cm2.

Cell Adhesion↗

PubMed1992

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↗

PubMed1992

Quantitative analysis of activated Kupffer cells in viral hepatitis: application of computer image analysis for lectin histochemistry.

Lectin histochemistry revealed that Kupffer cells in the normal liver bound lectins such as Concanavalin A (Con A), Ricinus communis agglutinin (RCA) and Wheat germ agglutinin (WGA), but did not bind Peanut agglutinin (PNA), Dolichos fibflorus agglutinin (DBA), Ulex europaeus agglutinin I (UEA-I) or Soybean agglutinin (SBA). Kupffer cells in viral liver diseases, however, bound the PNA lectin and the binding was specific to Kupffer cells in liver parenchyma. Computer image analysis was performed using light micrographs of sections stained with immunoperoxidase and diaminobenzidine (DAB). The dark brown area of reaction products was detected by analyzing each color component (red, green and blue) in the picture and was expressed as the percent area in the parenchyma. Quantitative analysis revealed the percent area occupied by Kupffer cells positive for the PNA lectin was as follows: acute hepatitis, 2.83 +/- 0.74; chronic persistent hepatitis, 2.51 +/- 0.88; chronic aggressive hepatitis, activity moderate and severe, 4.71 +/- 2.23 and 3.45 +/- 1.84; and liver cirrhosis, 1.96 +/- 0.99. The percent area of Kupffer cells was significantly higher in CAH2A than that in chronic persistent hepatitis or in liver cirrhosis. These results suggest that the PNA lectin could be used as a marker for activated Kupffer cells and that activated Kupffer cells were increased in volume in chronic aggressive hepatitis.

Biopsy↗

PubMed1977

[Selective contrast enhancement of microscopical specimen by optical procedures for automatized quantitative image analysis (author's transl)].

One of the most important problems in automatic image analysis is the discrimination of features by, a certain range of grey levels. To obtain as many as possible different grey levels sufficient contrast is achieved mainly by specific staining. Alternative and supplementary methods are some micrscopical methods, not routinely used. Interference microscopy, interference reflexion microscopy and microfluorimetry are discussed in detail. These optical procedures enhance the contrast of specimen specifically without the necessity for the application of specimen specifically without the necessity for the application of sophisticated staining methods. In interference contrast, tissues can be separately detected by grey level discrimination due to varying concentration of dry mass; this is shown for a cornifying part of fish skin (breeding tubercle of Rutilus rutilus L.). Furthermore, very small amounts of dry matter can be determined with high precision, as demonstrated for a single tissue culture cell (XTH-cell). Automatisation of image analysis provides a unique opportunity for routine application of interferometric measurements. The principles of the procedures are outlined. By interference reflexion microscopy cellular attachment areas to a glass surface are visualized, providing a powerful tool in cellular diagnosis based on grey level discrimination (darkest parts correspond to zones of closest contact to the substratum). A fast migrating lymphocyte and stationary endothelial cells have been chosen for demonstration. Various histochemical problems can be solved elegantly by fluorescence methods, e.g. mitochondria in living cells are specifically stained by a fluorochrome (DASPMI) and the distribution of fluorescence intensity can be followed within the mitochondrial population of a cell. Fluorescence was recorded from fotographic negatives taken with a fluorescence microscope. Additionally a short comment is given on the application of polarisation microscopy for feature detection.

Animals↗

PubMed1979

Quantitative image analysis: applications using sequential transformations.

The theoretical foundations of quantitative image analysis and its implementation in the Leitz T.A.S. have been discussed in the preceeding paper [4]. Especially the Mathematical Morphology and its recent developments have been pointed out. Sequential image transformations are a new approach of morphological analysis. Elementary transform steps, which are hardwired in the device, performed in specific sequences, which are implemented as macroinstructions in the programming language have proven to be a very useful tool in image analysis. A specific sequence of elementary steps will be referred to as morphological function. This new approach will be illustrated by four general examples: analysis of fibers, computing the number of edges for metallic grains, separation of overlapping cells, analysis of minerals which occur free and locked to another one.

Cell Separation↗

PubMed1992

An interactive image analysis system for quantitative cytology & to classify cervical cells.

Introduction of computers and image analysis systems are gaining faster momentum in order to quantitate the assessment of cells for diagnosis and prognosis, and this system aims to relieve the operator from the tedium of microscopic observation and reduce operator bias and human error. This paper discusses the design and configuration of an interactive image analysis system built in the laboratory for the purpose of cell analysis and classification. The software developed to compute various textural and morphological parameters of cells on smear are briefly described. The results of the experiments carried out to classify normal and abnormal cells on cervical smear show 94 per cent success rate.

Cytological Techniques↗

PubMed1992

Mast cell quantitation by image analysis in adult mastocytosis and inflammatory skin disorders.

Mast cell numbers were quantitated in adult cases of mastocytosis demonstrating non-diffuse perivascular and upper dermal concentrations of mast cells. Using the Leder stain and computerised video image analysis, a mean of 382 (+/- 28 SE) mast cell per mm2 were counted in the superficial dermis in skin biopsies from 30 adult cases of mastocytosis, in contrast to a mean of 43 (+/- 5 SE) mast cells per mm2 in skin biopsies from 50 inflammatory dermatoses represented by subacute dermatitis, pigmented purpuric dermatosis, erythema multiforme, lichen planus and granuloma annulare. Ten skin biopsies showing no significant inflammation had a mean of 54 (+/- 7 SE) mast cells per mm2 in the upper dermis. The mean area of individual mast cells as assessed by image analysis in the mastocytosis group was 47.40 microns 2 (+/- 2.26 microns 2, SE) which was significantly different (P < 0.01) than the mast cell area (32.34 microns 2 +/- 2.22 microns 2, SE) in all other groups combined. Computerised video image analysis represents an alternative technique which is useful in assessing mast cell numbers and particularly mast cell size in adult cases of macular mastocytosis and in other dermatoses.

Adult↗

PubMed1979

[Methodical investigations for quantitative image analysis on cells of the female genital tract (author's transl)].

An earlier published [8] image analysis system for cytology is tested on gynecological material. At first the question for the staining method which is optimal for scanning-photometrical measurements is investigated. In addition the wavelength of the light which reproduces best the nuclear structure must be found. Feulgen-stained preparations scanned at 570nm allow a more secure sorting of superficial cells against intermediary cells than those in the classical Papanicolaou-stain at white light. Discoloring of Papanicolaou-preparations and Feulgen staining afterwards was accomplished without technical problems and there were not detectable any qualitative differences with directly Feulgen-stained preparations by means of image analysis. With this method it is possible to recognize structural changes in nuclei of vaginal epithelium during cell differentation.

Cell Nucleus↗