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We present a framework for cell tracking in a highly cluttered environment in live cell imaging from mouse brain cortex. Our goal is to track cells over a long period of time for intracellular calciumion concentration in order to detect important cellular events such as neural activity and cell division. Since traditional object tracking approach such as segmentation followed by tracking is not applicable...
Automatic microscopy for screening of sputum smears for tuberculosis would reduce the reliance on technicians in heavily burdened laboratories in poorly-resourced countries. Autofocusing is a key component of automated microscopy. We investigate the use of wavelet-based image fusion for automatic focusing of sputum smear slides as a component of automated fluorescence microscopy to identify Mycobacterium...
High-throughput microscopy allows fast imaging of large tissue samples, producing an unprecedented amount of sub-cellular information. The size and complexity of these data sets often out-scale current reconstruction algorithms. Overcoming this computational bottleneck requires extensive parallel processing and scalable algorithms. As high-throughput imaging techniques move into main stream research,...
This paper presents an optimized normalized cut method for segmentation of RBCs infected with malarial parasites using peripheral blood smears. The algorithm is applied over various color spaces to find its optimal performance for microscopic blood smear images. We tested the efficacy of results in RGB, YCbCr, HSV and NTSC using the Rand's Index. The work is useful in telepathology applications and...
This paper describes a new algorithm for automatic assessment of the degree of TB-infection, by counting the number of Mycobacteria i.e., acid fast bacilli (AFB) in the color images of ZN-stained sputum smear. This algorithm consists of two stages. The first (“pre-processing”) stage involves exploiting color information to segment the candidate AFB in the image from the background, based on classification...
Gradient vector flow snakes are a very common method in bio-medical image segmentation. The use of gradient vector flow herein brings some major advantages like a large capture range and a good adaption of the snakes in concave regions. In some cases though, the application of gradient vector flow can also have undesired effects, e.g. if only parts of an image are strongly blurred, the remaining weak...
In this paper, an automatic k-mean clustering based on C-Y colour model was proposed. First, initial filter is used to remove the tissues images which remain blue after counterstaining process. Secondly, k-mean clustering using saturation component of C-Y colour model is used to segment the TB bacilli from its undesirable background which also remains red even after decolourization process. Thirdly,...
Monitoring of embryos is an important activity during In Vitro Fertilization (IVF) procedures. A critical stage is that of the early embryo, which is formed by a small number of cells (blastomeres): the morphology of such cells is considered to be a powerful indicator of the embryo viability. We deal with the challenging problem of automatically segmenting the different blastomeres in the early embryo...
Computer aided diagnosis of dermoscopy images has shown great promise in developing a quantitative, objective way of classifying skin lesions. An important step in the classification process is the lesion segmentation. Many papers have been successful at segmenting melanocytic skin lesions (MSLs) but few have focused on non-melanocytic skin lesions (NoMSLs), since the wide variety of lesions makes...
Conducting research on lipid vesicles is very convenient, since they provide a stable and controllable environment for in vitro observations. Their resemblance to biological cell membranes allows biologists to assess hazardous potential of nanoparticles by exposing the vesicles instead of live organisms. When considering behavior of vesicles during incubation with nanoparticles, majority of existing...
This paper describes a segmentation method of BY-2 tobacco cells proceeded from suspension cultures. The method separates foreground objects by the detection of their boundaries and then eliminates cell clumps and artefacts based on their different inside brightness and skeleton structures. Single cell objects are restored by the thickening of binary cell residues remaining after morphological operation...
The distribution, directionality and motility of the actin fibers control cell shape, affect cell function and are different in cancer versus normal cells. Quantification of actin structural changes is important for further understanding differences between cell types and for elucidation of the effects and dynamics of drug interactions. We have developed an image analysis framework for quantifying...
The aim of this work is to segment, and quantify, the vasculature of tumours, based on fluorescent microscope 3D images. Such images have poor contrast and the vascular features vary substantially within a 3D volume. In this paper, we introduce a method to estimate local phase in 3D images based on the monogenic signal theory, and illustrate its performance on our vasculature images.
Bright-field (BF) microscopy enables imaging the beating embryonic zebrafish heart at high frame rates, thereby revealing motion of both tissues that form the heart and red blood cells (RBCs). However, single-channel BF images lack the specificity seen in multi-color fluorescence microscopy since all structures in the field of view contribute similarly to image contrast. We discuss an algorithm that...
There are many different classes of leukocyte in peripheral blood image. Leukocyte count is used to determine the presence of an infection in the human body. To be able to observe and recognize the different kinds of leukocyte, you must stain them. For this purpose, normally Giemsa stain is used. There are two difficult issues in image segmentation which common segmentation algorithms can not overcome...
The morphology of bone marrow stromal cells (BMSCs) and the nature of phase contrast images make segmentation of such images challenging as many standard segmentation approaches do not work. This presents an obstacle to the development of systems that could use pattern recognition (PR) techniques to assess culture quality, since successful segmentation is an important precursor to successful pattern...
It is very important to identify the pathology components of urine solution and acquire a result of clinical examination. It aids to diagnose diseases of the urology system. Because the particles such as urinary sediments are irregular in shape and fuzzy in edge, it is much more difficult to automatically detect particles in microscopic images. Texture segmentation involves subdividing an image into...
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