Neuronal expression of Fas-associated death domain protein and caspase-8 in the perinidal parenchyma of cerebral arteriovenous malformations

2007 ◽  
Vol 106 (2) ◽  
pp. 275-282 ◽  
Author(s):  
Yasushi Takagi ◽  
Ken-Ichiro Kikuta ◽  
Kazuhiko Nozaki ◽  
Motoaki Fujimoto ◽  
Junya Hayashi ◽  
...  
Keyword(s):  
Image Analysis ◽  
Arteriovenous Malformations ◽  
Morphological Characteristics ◽  
Terminal Deoxynucleotidyl Transferase ◽  
Caspase 8 ◽  
Image Analysis System ◽  
Death Domain ◽  
Cerebral Arteriovenous Malformations ◽  
Domain Protein ◽  
Analysis System

Object The expression and localization of phosphorylated Fas-associated death domain protein (pFADD) and cleaved caspase-8 was examined in human cerebral arteriovenous malformations (AVMs). The authors focused on the perinidal parenchyma to clarify the effect of AVMs on perinidal brain tissue. Methods Seventeen cerebral AVMs were analyzed using immunohistochemical methods. Specimens were removed from patients during surgical procedures. The characteristics of the areas that stained positively for pFADD or cleaved caspase-8 were also assessed using an image analysis system. Eleven (65%) of the 17 lesions demonstrated anti-pFADD immunoreactivity and 12 (71%) showed anti–cleaved caspase-8 immunoreactivity. The immunoreactive cells in the perinidal parenchyma demonstrated obvious neuronal morphological characteristics. The characteristics of pFADD-positive and cleaved caspase-8–positive areas were assessed using the image analysis system. The mean distance from the nidus adjacent to either area was not affected by preoperative hemorrhage. The neuronal densities of pFADD-positive and cleaved caspase-8–positive areas were analyzed using the same system. The density of the control area (samples that were pFADD-negative and cleaved caspase-8 negative) was significantly higher when compared with that of pFADD-positive and cleaved caspase-8–positive areas (p < 0.05). The expressions of cleaved caspase-9, cleaved poly(adenosine diphosphate–ribose) polymerase, and apoptotic cells were analyzed using the terminal deoxynucleotidyl transferase–mediated deoxyuridine triphosphate nick-end labeling method. Conclusions Neuronal areas that stained positively for pFADD and cleaved caspase-8 existed around the nidus of AVMs. In these areas, the neuronal density was lower than that in the other parenchyma around the AVM. Neuronal loss around the nidus may be the origin of brain dysfunction around AVMs.

Chemical Classification and Particle Sizing of Foundry Sands

1985 ◽  
Vol 43 ◽  
pp. 388-389
Author(s):  
D.S. DeMiglio
Keyword(s):  
Image Analysis ◽  
Energy Dispersive Spectrometer ◽  
Image Analysis System ◽  
Representative Sampling ◽  
Foundry Sands ◽  
Large Atomic Number ◽  
Backscattered Electron ◽  
Sand Particles ◽  
Analysis System ◽  
Reclamation System

Much progress has been made in recent years towards the development of closed-loop foundry sand reclamation systems. However, virtually all work to date has determined the effectiveness of these systems to remove surface clay and metal oxide scales by a qualitative inspection of a representative sampling of sand particles. In this investigation, particles from a series of foundry sands were sized and chemically classified by a Lemont image analysis system (which was interfaced with an SEM and an X-ray energy dispersive spectrometer) in order to statistically document the effectiveness of a reclamation system developed by The Pangborn Company - a subsidiary of SOHIO.The following samples were submitted: unreclaimed sand; calcined sand; calcined & mechanically scrubbed sand and unused sand. Prior to analysis, each sample was sprinkled onto a carbon mount and coated with an evaporated film of carbon. A backscattered electron photomicrograph of a field of scale-covered particles is shown in Figure 1. Due to a large atomic number difference between sand particles and the carbon mount, the backscattered electron signal was used for image analysis since it had a uniform contrast over the shape of each particle.

SIGN IN Welcome!Log into your account your username your password Forgot your password Privacy policy PASSWORD RECOVERY Recover your password your email Struktol Home New fast measuring method for process optimization of sucrose crystallization New fast measuring method for process optimization of sucrose crystallization

2020 ◽  
pp. 49-52
Author(s):  
Trine Aabo Andersen
Keyword(s):  
Image Analysis ◽  
Process Optimization ◽  
Crystal Size ◽  
Measuring Method ◽  
Sieve Analysis ◽  
Image Analysis System ◽  
Line System ◽  
Non Invasive ◽  
Analysis System ◽  
User Friendly

A new fast measuring method for process optimization of sucrose crystallization using image analysis based on high quality images and algorithms is introduced. With the mobile, non-invasive at-line system all steps of the sucrose crystallization can be measured to determine the crystal size distribution. The image analysis system is easy to operate and is as well an efficient laboratory solution with user-friendly and customized software. In comparison to sieve analysis, image analyses performed with the ParticleTech Solution have been proven to be reliable.

Application of Image Analysis System for Study of Activated Sludge Flocs

1986 ◽  
Vol 21 (1) ◽  
pp. 130-140 ◽  
Author(s):  
Da-hong Li ◽  
J. J. Ganczarczyk
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Statistical Processing ◽  
Equivalent Diameter ◽  
Image Analysis System ◽  
Sectional Area ◽  
Cross Sectional ◽  
Computerized Image Analysis ◽  
Sludge Flocs ◽  
Analysis System

Abstract The computerized image analysis system has been successfully used for determination and statistical processing of the following geometric characteristics of activated sludge flocs: longest dimension, breadth, equivalent diameter, cross-sectional area, perimeter, elongation, and circularity. These parameters could be effectively and precisely determined by the system applied. In addition, the studied method, as compared to direct microscope observation and photography floc-sizing methods, was found to be more accurate, less time-consuming, and less dependent on the investigators.

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