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Biotribology of artificial tears for the treatment of dry eye syndrome
Černohlávek, Mikuláš ; Daniel, Matej (referee) ; Vrbka, Martin (advisor)
This master thesis is a part of the project TAČR TREND, which aim is the development of new ingredient for treatment of dry eye syndrome. Developed ingredient is derivative of hyaluronic acid, which is in this thesis compared with native hyaluronic acids and commercial eye drops. Aim of this thesis is to describe rheological and tribological properties of measured samples in terms of viscosity, mucoadhesivity and coefficient of friction. Coefficient of friction was measured on created tribological model of the eye in pin-on-plate configuration which represents physiologically relevant sliding speeds of blinking. Comparison with native hyaluronic acids and commercial products of eye drops showed, that derivative reaches higher values of viscosity, has mucoahesive properties and has low values of coefficient of friction. Those key parameters show that modification of hyaluronic acid is promising way for drug development for dry eye disease.
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Plethysmography for retinal video processing
Plavcová, Daniela ; Valterová, Eva (referee) ; Kolář, Radim (advisor)
Sight is one of the five human senses and is very important for exploring near and far surroundings. However, this is prevented by various eye defects, which may be related to the vascular system of the retina and the pulsations that are observable on it. This work deals with the study of the relationship between the mentioned pulsations and glaucoma. To search for connections between these two aspects, video recordings from the retina are used, the pulsation of which is further worked in the form of a 1D signal, especially in the spectral region.
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Implementation of Algorithm for Recognition of Eye Retina
Ondroušek, Jan ; Stružka, Jaroslav (referee) ; Hájek, Josef (advisor)
Vessel structure is a very important element in medical sience for diagnosis of eye and cardiovascular diseases. Therefore, its automatic segmentation is very important too. In introduction there is a short description of eye retina. After that, method of implementation is presented according to Ing. Jan Odstrčilík's thesis - Analyze of colour retinal images aimed to segmentation of vessel structures created under the auspices of Brno University of Technology - Faculty of Electrical Engineering and Communication, Department of Biomedical Engineering in 2008. This method is based on filtering input image with properly designed filtering masks, followed by thresholding with properly calculated value and finally cleaning result image from artefacts. Algorithm was written in C++ language. All important functions were implemented for purpose of given method with consideration on speed and accuray. Main sections of source code with description of user interface are introduced next in this thesis. At the end, the implementation was tested on real images from ÚBMI and DRIVE databases, results were recorded, expansions and adjustments possibilities of implementation were debated.
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Processing of image sequences from fundus camera
Klimeš, Filip ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
Cílem mé diplomové práce bylo navrhnout metodu analýzy retinálních sekvencí, která bude hodnotit kvalitu jednotlivých snímků. V teoretické části se také zabývám vlastnostmi retinálních sekvencí a způsobem registrace snímků z fundus kamery. V praktické části je implementována metoda hodnocení kvality snímků, která je otestována na reálných retinálních sekvencích a vyhodnocena její úspěšnost. Práce hodnotí i vliv této metody na registraci retinálních snímků.
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Extraction of arteries and veins from fundus image of human retina.
Pinkava, Marek ; Říha, Kamil (referee) ; Minář, Jiří (advisor)
This thesis deals with processing of retinal fundus images. Vision is the most important human sense and its injury has very serious consequences for humans. Automatic processing of retinal images increases the efficiency of medical examination and accelerates diagnoses of deseases. Retina exhibits unique characteristics for each person and thus can also be used to identify people. In this task is briefly discussed the structure and properties of each parts of the eye, particularly the retina, and their possible diseases such as diabetic retinopathy, glaucoma and age related macular degeneration. Subsequently, the task describes the representation and characteristics of the digital image. Also is devoted to selected image segmentation methods namely thresholding, edge detection and segmentation techniques based on the matched filter. The outcome of this task is the application in which several segmentation methods are implemented for the blood vessels extraction. For each of these methods it is possible to set the parameters of the segmentation to ensure high quality blood vessels extraction in images of different quality.
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Crane hooks, design and calculation
Vítů, Šimon ; Pokorný, Přemysl (referee) ; Malášek, Jiří (advisor)
This bachelor thesis deals with the division, calculations, construction documentation and production procedures of crane hooks. The work includes a search of hook types, a procedure for calculation of a simple forged hook, and the work also lists manufacturers of crane hooks focusing on the European market. The work includes drawing documentation, drawing simple forged hook and production drawing of single lamella of single lamellar hook.
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Detection of Diseases on the Human Eye Retina
Koštialik, Gabriel ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
The most common cause of blindness in humans, between 20 and 64 years, is diabetic retinopathy. This disease is due to unclear reasons, but the cause is clear. Diabetes mellitus. The prognosis of the number of sick people in the future is very bad. For this reason, early diagnosis of diabetic retinopathy is highly needed, as untreated patients may lose sight very quickly. Therefore, the aim of this work is to design and implement an algorithm, that can automatically search for certain symptoms of the disease. The algorithm works on a way of adaptive Gaussian thresholding. A very important part of the algorithm is also pre-processing and subsequent classification of suspicious areas. The detection success was evaluated on 70 images from various databases, where the algorithm achieves very good results. Deploying this algorithm in diagnostics could greatly help to automate the whole process. Ultimately, this would mean earlier treatment for patients where the start time of treatment is critical.
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The role of transcription factors in mouse eye development
Sunny, Sweetu Susan ; Kozmik, Zbyněk (advisor) ; Pavlínková, Gabriela (referee) ; Fafílek, Bohumil (referee)
Vision is a complex process that begins with the transmission and refraction of light through a highly specialised transparent tissue called the cornea. The cornea acts as a protective barrier and contributes to the focusing power of the eye. The development of mammalian cornea is a multiphase process involving the formation of the corneal epithelium (CE), stroma and endothelium (CEn) during embryogenesis, followed by the postnatal stratification of epithelium and constant renewal of desquamated outermost cells. Paired box protein (Pax) 6 is an evolutionarily conserved transcription factor important for the proper development of the eye. To provide further insights into the role of Pax6 in corneal development, we took the advantage of Cre-loxP system for selectively inactivating Pax6 in two ocular domains, specifically, the postnatal CE and the ocular surface epithelium (OSE) (cornea, limbus, and conjunctiva). We generated a novel postnatal CE-specific Cre-expressing transgenic mouse line, Aldh3-Cre. Inactivation of Pax6 in the postnatal CE using Aldh3-Cre resulted in the abnormal thin cornea with defective cell-cell adhesion, thus providing direct evidence for the function of Pax6 in postnatal corneal development. Subsequently, the OSE-specific depletion of Pax6 using K14-Cre, resulted in the...
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Photoreceptor detection methods in high-resolution retinal images
Vicianová, Jana ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
This thesis deals with the detection of photoreceptors in images captured by a camera using adaptive optics. The theoretical part of the work describes the anatomy and physiology of the eye, the retina and the diseases affecting it. Subsequently, current approaches in the field of photoreceptor detection are described. Selected methods are implemented in the practical part of the work. Modifying them, a photoreceptor detector is created. The results of individual methods are evaluated and compared.
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