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At least 685 records · Page 38Linked to original sources
PubMed2002

Digital image analysis system for the quantification of infiltrates and cell adhesion molecules in inflammatory cardiomyopathy.

BACKGROUND: We attempted to develop a digital image analysis (DIA) system for endomyocardial biopsies (EMBs) to reliably quantify a) biopsy quality, b) immunohistochemically-marked infiltrates, and c) cell adhesion molecules (CAMs) in relation to net heart area (HA) for the semi-automated diagnosis of inflammatory cardiomyopathy (InfCM). MATERIAL/METHODS: 140 EMBs from dilated cardiomyopathy (DCM) patients and 14 autopsy heart samples (controls) were immunostained for T-lymphocytes (CD2, CD3, CD4, CD8), beta(2)-integrin+ infiltrates (CD18, LFA-1, Mac-1) and CAMs (immunoglobulin superfamily: ICAM-1, HLA class I, HLA DR, VCAM-1, CD58; selectins: CD62E and CD62P; and the beta(1)-integrin chain CD29). EMB quality was assessed visually on a three-point scale. Infiltrates were quantified visually (per hpf) and by DIA (per mm2 HA). CAM expression was evaluated semiquantitatively and by DIA (area fraction [AF]: stained area relative to HA). RESULTS: DIA-evaluated HA correlated significantly with the visual assessment of EMB quality. The visual evaluation of both infiltrates and CAMs correlated significantly with the respective DIA-based quantification. DIA-quantified CAM-AF and infiltrates were discriminated by the CAM classification (CAMs+: n=87; 62%) compared to controls. DIA-quantified CAM immunoreactivity correlated significantly with the DIA-quantified counter-receptor+ infiltrates. DIA evaluation of biopsy quality, infiltrates, and CAMs was devoid of inter- and intraobserver variability. CONCLUSIONS: The DIA system presented here enables standardized and observer-independent assessment of EMB quality and intramyocardial inflammation (density of infiltrates and CAM expression) in DCM biopsies related to HA. Our data confirm that endothelial CAM count and counter-receptor+ immunocompetent infiltration are interdependent pathogenic and diagnostic hallmarks of InfCM.

Adult↗
PubMed1992

A fitness analysis system with an intelligent interface.

This paper describes the development of a system with an intelligent interface for analysis of physiological correlates of athletes' physical performance capacities. The system improves the interface between the physiologist and the coach and provides scientific information in a systematic and coherent fashion. The recommendations provided are based on the results of a series of physiological tests. The implementation of the system is described with emphasis placed on recognition of the internal structure of the knowledge, independence from a particular shell, design for future expansion and maintenance and the integration with existing information resources.

Artificial Intelligence↗
PubMed1995

Evaluation of the CellTrak computer-assisted sperm analysis system in comparison to the Cellsoft system to measure human sperm hyperactivation.

OBJECTIVE: To measure and compare sperm hyperactivation (HA) and associated motility parameters using the CellTrak (Motion Analysis Corporation, Santa Rosa, CA) and Cellsoft (Cryo Resources, New York, NY) Computer-Assisted Sperm Analysis (CASA) Systems. The accuracy of the CellTrak system also was assessed by repeated measurements of the same sample. SETTING: A university-affiliated tertiary care center. PATIENTS: Normal healthy volunteers. MAIN OUTCOME MEASURES: We assessed sperm motion parameters and HA. RESULTS: The measurements of percent spermatozoa with star and/or transitional pattern of HA showed high within-sample variations, especially in samples showing low levels of percent spermatozoa with HA. This was due to the comparatively low numbers of hyperactivated spermatozoa that were present and counted in a sample. Excellent agreement between the two systems was observed for all parameters except for measurements of curvilinear velocity, percent spermatozoa with star-spin hyperactivity, and percent spermatozoa with transitional hyperactivity. The difference might be due to CellTrak's higher level of accuracy in determining velocity. CONCLUSIONS: The CellTrak system effectively measures human sperm HA provided adequate numbers of motile spermatozoa are analyzed. Although it suffers from the same limitations common to all CASA systems, it is more accurate than the Cellsoft system.

Computers↗
PubMed1985

A microcomputer-based quantitative morphometric analysis system for computing areas of amorphous patches.

A method for analysis of irregular areas has been developed for use with histological sections. The analysis is performed utilizing a digitizing tablet and a microcomputer. The advantages of this system are a specialized form of output suited to the analysis of mosaic tissues, disk storage of all data, plotter output for verification, and an inexpensive hardware environment. The program results of determinations of liver patch size in a novel chimeric rat system are described.

Animals↗
PubMedDate not supplied

[Systems analysis of activities of the intensive care and resuscitation department at a multidisciplinary hospital. II. Intensity of work and quality indicators].

The second part of the research is devoted to problems of the personnel labor load, to maintenance of reanimation asepsis, to analysis of the complications of intensive care, the causes and outcomes of these complications. A total system approach allows, as the authors believe, an objective assessment of the prerequisites of complications in expert evaluations.

Asepsis↗
PubMed2000

Using videotaped specimens to test quality control in a computer-assisted semen analysis system.

OBJECTIVE: To determine the feasibility of using semen samples previously recorded on videotape for intralaboratory and interlaboratory quality control of computer-assisted semen analysis (CASA) systems. DESIGN: Blinded, controlled study. SETTING: Pooled semen specimens from two normal human volunteers in an academic research environment. PATIENT(S): None. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Semen parameters from a videotape analyzed internally and by four external laboratories. RESULT(S): Preliminary experiments designed to examine intralaboratory variation by repeated analysis of semen samples recorded on videotape revealed some significant differences for every variable examined. When these data were analyzed by using the larger biologic error caused by subsampling, no significant differences were found for any of the variables examined. When either a standard set or the specific laboratories' sets of parameters were used to analyze the same videotaped semen specimen, no statistically significant differences were detected for sperm concentration for motility among the five laboratories after the biological error caused by subsampling was applied to results. CONCLUSION(S): These data strongly suggest that videotaped semen specimens can serve as quality control for intralaboratory and interlaboratory testing of CASA equipment as long as the biologic error caused by subsampling is used to compare results.

Cytological Techniques↗
PubMed1989

Analysis of machine-selected cells with an image analysis system in normal and abnormal cervical specimens.

An analysis has been performed of visual diagnostic criteria used in cervical cytology applied to machine selected cells in relation to automated classification based on variables, which can be recorded in an image system with automated cell search and segmentation, feature extraction and classification. A 98% accuracy could be obtained with the choice of the most ideal statistical methods for discrimination and the use of the most powerful variables recorded in the image system when compared with consensus of the visual diagnoses based on established cytological criteria for diagnosis of cancer and precancer of the cervix uteri. The most powerful discriminatory variables in the image system (of 17 recorded) for discrimination between normal and abnormal epithelial cells were, in addition to nuclear extinction, cytoplasmic extinction and cytoplasmic shape. It is concluded that the visual classification of cervical cells is highly accurate with experienced observers and that imaging microscopes can be trained to nearly equal this accuracy with appropriate statistical methods of discrimination. The problem of creating fully automated systems, however, also requires the inclusion of even more effective discriminatory variables and also the solution of such problems as automatic cell search, segmentation, artifact rejection, feature extraction, classification and electronic stability in order to become cost-effective.

Cervix Uteri↗