Geometrical Modeling and Visualization of Pre- and Post-Synaptic Structures in Double-Labeled Confocal Images

2006 ◽  
Author(s):  
A. Herzog ◽  
G. Krell ◽  
B. Michaelis ◽  
S. Westerholz ◽  
C. Helmeke ◽  
...  
Keyword(s):  
Geometrical Modeling ◽  
Confocal Images ◽  
Synaptic Structures

Three-dimensional image analysis and visualization in confocal light microscopy

1993 ◽  
Vol 51 ◽  
pp. 158-159
Author(s):  
J. K. Samarabandu ◽  
R. Acharya ◽  
D. R. Pareddy ◽  
P. C. Cheng
Keyword(s):  
Depth Perception ◽  
Computer Graphic ◽  
Three Dimensional ◽  
Cellular Organization ◽  
Data Set ◽  
Computational Burden ◽  
Interactive Operation ◽  
Cell Organization ◽  
Confocal Images ◽  
3D Digitization

In the study of cell organization in a maize meristem, direct viewing of confocal optical sections in 3D (by means of 3D projection of the volumetric data set, Figure 1) becomes very difficult and confusing because of the large number of nucleus involved. Numerical description of the cellular organization (e.g. position, size and orientation of each structure) and computer graphic presentation are some of the solutions to effectively study the structure of such a complex system. An attempt at data-reduction by means of manually contouring cell nucleus in 3D was reported (Summers et al., 1990). Apart from being labour intensive, this 3D digitization technique suffers from the inaccuracies of manual 3D tracing related to the depth perception of the operator. However, it does demonstrate that reducing stack of confocal images to a 3D graphic representation helps to visualize and analyze complex tissues (Figure 2). This procedure also significantly reduce computational burden in an interactive operation.

Identifying Alzheimer’s Disease-related miRNA Based on Semi-clustering

2019 ◽  
Vol 19 (4) ◽  
pp. 216-223 ◽  
Author(s):  
Tianyi Zhao ◽  
Donghua Wang ◽  
Yang Hu ◽  
Ningyi Zhang ◽  
Tianyi Zang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Drug Targets ◽  
Molecular Mechanisms ◽  
Feature Vector ◽  
Mirna Gene ◽  
Interaction Network ◽  
Gene Interaction ◽  
Proteinprotein Interaction ◽  
Synaptic Structures

Background: More and more scholars are trying to use it as a specific biomarker for Alzheimer’s Disease (AD) and mild cognitive impairment (MCI). Multiple studies have indicated that miRNAs are associated with poor axonal growth and loss of synaptic structures, both of which are early events in AD. The overall loss of miRNA may be associated with aging, increasing the incidence of AD, and may also be involved in the disease through some specific molecular mechanisms. Objective: Identifying Alzheimer’s disease-related miRNA can help us find new drug targets, early diagnosis. Materials and Methods: We used genes as a bridge to connect AD and miRNAs. Firstly, proteinprotein interaction network is used to find more AD-related genes by known AD-related genes. Then, each miRNA’s correlation with these genes is obtained by miRNA-gene interaction. Finally, each miRNA could get a feature vector representing its correlation with AD. Unlike other studies, we do not generate negative samples randomly with using classification method to identify AD-related miRNAs. Here we use a semi-clustering method ‘one-class SVM’. AD-related miRNAs are considered as outliers and our aim is to identify the miRNAs that are similar to known AD-related miRNAs (outliers). Results and Conclusion: We identified 257 novel AD-related miRNAs and compare our method with SVM which is applied by generating negative samples. The AUC of our method is much higher than SVM and we did case studies to prove that our results are reliable.

Explainable Fully Connected Visual Words for the Classification of Skin Cancer Confocal Images

2020 ◽  
Author(s):  
Athanasios Kallipolitis ◽  
Alexandros Stratigos ◽  
Alexios Zarras ◽  
Ilias Maglogiannis
Keyword(s):  
Skin Cancer ◽  
Visual Words ◽  
Confocal Images ◽  
Fully Connected

Double-core helical auxetic yarn: a Novel structure, geometrical modeling and experimental verification

2021 ◽  
pp. 1-14
Author(s):  
Milad Razbin ◽  
Mostafa Jamshidi Avanaki ◽  
Ali Asghar Asghariyan Jeddi ◽  
Hadi Dabiryan
Keyword(s):  
Experimental Verification ◽  
Geometrical Modeling ◽  
Novel Structure

scholarly journals An integrated framework for quantifying immune-tumour interactions in a 3D co-culture model

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Gheed Al-Hity ◽  
FengWei Yang ◽  
Eduard Campillo-Funollet ◽  
Andrew E. Greenstein ◽  
Hazel Hunt ◽  
...  
Keyword(s):  
Immune System ◽  
Immune Cell ◽  
In Vitro Models ◽  
Proof Of Concept ◽  
Culture Model ◽  
Spheroid Growth ◽  
Confocal Images ◽  
Cancer Spheroids

AbstractInvestigational in vitro models that reflect the complexity of the interaction between the immune system and tumours are limited and difficult to establish. Herein, we present a platform to study the tumour-immune interaction using a co-culture between cancer spheroids and activated immune cells. An algorithm was developed for analysis of confocal images of the co-culture to evaluate the following quantitatively; immune cell infiltration, spheroid roundness and spheroid growth. As a proof of concept, the effect of the glucocorticoid stress hormone, cortisol was tested on 66CL4 co-culture model. Results were comparable to 66CL4 syngeneic in vivo mouse model undergoing psychological stress. Furthermore, administration of glucocorticoid receptor antagonists demonstrated the use of this model to determine the effect of treatments on the immune-tumour interplay. In conclusion, we provide a method of quantifying the interaction between the immune system and cancer, which can become a screening tool in immunotherapy design.

Comparison of boundary interpolation methods on the geometrical modeling of viscosity for CaO-Al2O3-SiO2 melts

2021 ◽  
Vol 562 ◽  
pp. 120782
Author(s):  
Xiaomin Zha ◽  
Dexiang Hou ◽  
Zhigang Yu ◽  
Jieyu Zhang ◽  
Kuochih Chou
Keyword(s):  
Boundary Interpolation ◽  
Geometrical Modeling ◽  
Interpolation Methods

On the confocal images and the rheology of whey protein isolated and modified pectins associated complex

2009 ◽  
Vol 69 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Rachel Lutz ◽  
Abraham Aserin ◽  
Yariv Portnoy ◽  
Moshe Gottlieb ◽  
Nissim Garti
Keyword(s):  
Whey Protein ◽  
Confocal Images

scholarly journals Severe Corneal Morphological Alterations after Excimer Laser Surface Ablation for a High Astigmatism

2021 ◽  
pp. 492-496
Author(s):  
Anna M. Roszkowska ◽  
Giovanni W. Oliverio ◽  
Giuseppe A. Signorino ◽  
Mario Urso ◽  
Pasquale Aragona
Keyword(s):  
Excimer Laser ◽  
Corneal Stroma ◽  
Corneal Topography ◽  
Laser Surface ◽  
Slit Lamp ◽  
Slit Lamp Examination ◽  
Morphological Alterations ◽  
Surface Ablation ◽  
Confocal Images

We report long-term alterations of anterior corneal stroma after excimer laser surface ablation for a high astigmatism. The patient claimed progressive visual loss in his right eye (RE) during the last 3 years after bilateral laser-assisted subepithelial keratectomy (LASEK) surgery. His examination comprised visual acuity (UDVA and CDVA), slit-lamp examination, corneal topography and tomography, AS-OCT, and confocal microscopy. The UDVA was 0.1 in his RE and 1.0 in the left eye. The CDVA in the RE was 0.8. The slit-lamp examination showed a stromal lesion in the inferior paracentral corneal zone, with multiple vertical tissue bridges and severe thinning. Corneal topography and tomography showed central flattening with inferior steepening and severe alteration in elevation maps. AS-OCT showed void areas in the anterior stroma with thinning of the underlying tissue, and confocal images were not specific. In this case, progressive corneal steepening and thinning that manifest topographically as inferior ectasia occurred in correspondence to the singular stromal alterations after LASEK.

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