(magistrsko delo)
Tadej Volgemut (Author), Saška Lipovšek Delakorda (Mentor), Borut Žalik (Co-mentor)

Abstract

V magistrskem delu smo želeli razviti program za avtomatizirano računalniško obdelavo fotografij, s pomočjo katerega bo možno opravljati meritve premerov poljubnih izstopajočih oblik in njihovih površin. Program bo hkrati omogočal tudi zaporedno analizo na poljubnem območju fotografije, štetje najdenih oblik v neki liniji ter pregled in izvoz rezultatov in statistik. Program smo testirali na meritvah obstoječe raziskave, kjer so proučevali vpliv izbitega Rab3A gena na izločanje inzulina v beta celicah trebušne slinavke pri miših (Lipovšek s sod., 2013). Magistrsko delo služi kot kontrola predhodno opravljenih meritev, program pa omogoča avtomatizirano obdelavo fotografij tudi v drugih raziskavah. Iz članka izhodiščne raziskave in drugih virov smo povzeli teorijo trebušne slinavke, beta celic in inzulina. Predstavili smo anatomijo trebušne slinavke pri miših in jo na kratko primerjali s slinavko pri ljudeh ter nekaterih drugih vrstah. Opisali smo strukturo beta celice, vlogo inzulina ter predstavili vlogo genov iz družine Rab3. Opisali smo digitalno fotografijo in slikovno točko kot njen osnovni gradnik ter predstavili predvidene algoritme za Gaussovo glajenje, pragovno filtriranje ter detekcijo robov. Implementirali smo računalniško aplikacijo, ki omogoča avtomatično analizo fotografij tkivnih rezin trebušne slinavke in dobljene rezultate primerjali z rezultati izhodiščne raziskave. S to nalogo smo želeli ustvariti rešitev, ki bi raziskovalcem olajšala analiziranje mikroskopiranih vzorcev in preverjanje njihovih meritev.

Keywords

trebušna slinavka;beta celica;inzulin;Rab3A;segmentacija;obdelava fotografij;Gaussovo glajenje;pragovno filtriranje;Cannyjev filter;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FZV - Faculty of Health Sciences
Publisher: [T. Volgemut]
UDC: 004:616.3(043.2)
COBISS: 2114468 Link will open in a new window
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Downloads: 123
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Other data

Secondary language: English
Secondary title: AUTOMATED COMPUTER IMAGE PROCESSING OF PANCREAS BETA CELLS IN MICE
Secondary abstract: In this work we wanted to develop the program for automated computer image processing, which will enable measuring of diameters and areas of random shapes. The program will also enable serial segmentation of images in specific region of interest, counting of shapes in defined line and a preview and export of results and statistics. The program was tested on the measurements of existing research about an influence of knocked-out Rab3A gene on insulin secretion in pancreas beta cells in mice (Lipovšek et al., 2013). This master’s degree serves as an assay of prevoiusly made measurements. The program also enables image analysis in other researches. We summarized a theory about pancreas, beta cells and insulin from the article of the existing research and other sources. We described an anatomy of pancreas in mice and made a brief comparison with pancreas in humans and in some other species. We described the strucure of a beta cell, the role of insulin and we described the role of Rab3A family of genes. We described the digital photography and the pixel as the main part of an image. We also described the planned algorithms for implementation of Gaussian blur, thresholding and edge detection. We implemented the computer program, that enabled automated segmentation of images with tissue slices of pancreas and we compared the results with results from the existing research. With this work, we wanted to make a solution, which would help researchers in ther image analysis and in a control of results.
Secondary keywords: pancreas;beta cell;insulin;Rab3A;segmentation;image processing;Gaussian blur;thresholding;Canny edge detection;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za zdravstvene vede
Pages: XI, 35 str., 17 str. pril.
ID: 8753048