microscopy images
An automatic tool for quantification of nerve fibers in corneal confocal microscopy images
... Confocal Microscopy images are associated with the severity of diabetic peripheral neuropathy [7, 12, 13] and the potential of CCM to quantify severity of neu- ropathy and assess therapeutic benefit has ...
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A 3D Primary Vessel Reconstruction Framework with Serial Microscopy Images
... dimensional microscopy images present significant po- tential to enhance biomedical ...slide images. With registered microscopy images, we identify primary vessels with an improved ...
9
Automated Segmentation of HeLa Nuclear Envelope from Electron Microscopy Images
... Segmentation of cells in microscopy images is a widely studied area [17]. Considerable work has been done on the segmentation of overlapping cells [18– 21] and segmentation of nuclei has been performed with ...
12
Comparisons of Filters for Noise Removal of Cancer Cell Scanning Electron Microscopy Images
... The challenging task of image processing is to reduce noise in image, which helps to improve the image for further process. This paper proposed bilateral filter, the best choice for removing noise as well as preserving ...
5
Micro Net : a unified model for segmentation of various objects in microscopy images
... Object segmentation and structure localization are important steps in auto- mated image analysis pipelines for microscopy images. We present a convolu- tion neural network (CNN) based deep learning ...
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Automated monitoring of early stage human embryonic cells in time-lapse microscopy images
... standard images, and would thus generalize more easily, they rely on an initial embryo segmentation to generate cell ...from microscopy images was introduced in Giusti et ...
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Hierarchical level features based trainable segmentation for electron microscopy images
... In order to get new insights into the functional structure of the brain, neuroanatomists need to reconstruct and mapping neural connections in 3D, which the key approach is 2D neuron image segmentation. Currently, ...
14
DESIGN OF A MICROSCOPY IMAGES FUSION AND CLASSIFICATION APPLICATION
... in images, extraction of descriptors of points of interest (Fiot, 2008), matching the points of interest of the images and the algorithm of RANSAC (Capel, 2001) that serves to estimate the geometric ...
6
Accuracy of surface strain measurements from transmission electron microscopy images of nanoparticles
... experimental images with simulations [5, 6]; imaging parameters and model structure of the sample are refined until the simulated and experimental image ...
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3D Axon Structure Extraction and Analysis in Confocal Fluorescence Microscopy Images
... of images of fluorescently labeled processes are obtained using a confocal ...of images that are obtained by imaging 3D axon objects along the z-direction and projecting onto the x-y ...
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Image analysis in light sheet fluorescence microscopy images of transgenic zebrafish vascular development
... can be achieved by linear stack alignment based on scale invariant features. Image pre-processing, via reduction of noise and background, increased the vascular CNR significantly, which simplified the application of ...
13
Segmentation, Reconstruction, and Analysis of Blood Thrombus Formation in 3D 2-Photon Microscopy Images
... As we observed from the image data, fibrin, platelets (or the red and green voxels), and surrounding black cells cluster together to form clots. However, other fibrin and platelet fluorophores also scatter around in the ...
8
A method for improved clustering and classification of microscopy images using quantitative co localization coefficients
... images is robust in classifying broad differences in localization, closely related proteins having similar localization profiles are not easily distinguished from one another. In this work we show how clustering ...
5
An Improved Watershed Segmentation Method for Electron Microscopy Images
... The analysis of nerve tissues is very helpful to the study of the nervous system. With the development and application of high-throughput technology, it becomes more important to realize the automated batch segmentation ...
8
1. Review on diagnosis cancerous tissue using image data mining
... from Images (Mammogram Images, Ultrasound Images (UI), Magnetic Resonance Imaging (MRI), Microscopy Images) through Image Segmentation by method of Image Processing and Data Analysis ...
5
cv4sensorhub – A Multi-Domain Framework for Semi-Automatic Image Processing
... Although there are many research domains with very good software support and workflow automation, there are even more which do not have it: software development is too expensive to create domain specific applications for ...
6
Evaluation of oxidative response and tissular damage in rat lungs exposed to silica-coated gold nanoparticles under static magnetic fields
... Abstract: The purpose of our study was the evaluation of toxicological effects of silica-coated gold nanoparticles (GNPs) and static magnetic fields (SMFs; 128 mT) exposure in rat lungs. Animals received a single ...
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Influence of Weather Conditions on the Surface Morphology and Wetting Behaviour of Superhydrophobic Quaking Aspen Leaves
... electron microscopy images and wetting property measurements of quaking aspen leaf surfaces harvested throughout this season are presented and discussed with the objective of linking weather induced ...
8
Transformation of ZnO polycrystalline sheets into hexagon like mesocrystalline ZnO rods (tubes) under ultrasonic vibration
... electron microscopy and transmission electron microscopy images confirmed that under ultrasonic vibration, monolithic polycrystalline ZnO sheets transformed into hexagon-like mesocrystalline tubes or ...
6
Evaluation of gellan gum fluid gels as modified release oral liquids
... Light microscopy images of 0.75% w/v gellan gum loaded with 20 mg/ml ibuprofen prepared at a shear rate of 500 s−1 using different cooling rates A–C.. Light microscopy images of gellan g[r] ...
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