Automatické určení tvaru a velikosti nanočástic pro biomedicínské aplikace
Automatic determination of shape and size of nanoparticles for biomedical applications
Typ dokumentu
bakalářská prácebachelor thesis
Autor
Monika Pulcová
Vedoucí práce
Petráková Vladimíra
Oponent práce
Mézl Martin
Studijní program
Biomedicínská technikaInstituce přidělující hodnost
katedra biomedicínské technikyObhájeno
2023-06-19Práva
A university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://knihovny.cvut.cz/vychova/vskp.htmlVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://knihovny.cvut.cz/vychova/vskp.html
Metadata
Zobrazit celý záznamAbstrakt
Nanotechnology is widely used in biomedical research. For its usage it is important to know sizes and shapes of particles. These parameters can be measured by transmission electron microscopy (TEM), but analysis of images from transmission electron microscope is complicated and tedious. It would be easier if method for automatic evaluation of these parameters would exist. The goal of this project is to create program for automatic determination of sizes and shape of nanoparticles and nanorods from TEM images. TEM samples of nanoparticles and nanorods of various sizes were used and TEM images were acquired. Image analysis methods were used for image adjustement and two image segmentation methods were used. First method is watershed transform and second method is circle Hough transform. Python program was created and tested on various images of nanoparticles and nanorods. Sizes and shapes of nanoparticles and nanords were calculated and histograms of sizes were plotted. Nanotechnology is widely used in biomedical research. For its usage it is important to know sizes and shapes of particles. These parameters can be measured by transmission electron microscopy (TEM), but analysis of images from transmission electron microscope is complicated and tedious. It would be easier if method for automatic evaluation of these parameters would exist. The goal of this project is to create program for automatic determination of sizes and shape of nanoparticles and nanorods from TEM images. TEM samples of nanoparticles and nanorods of various sizes were used and TEM images were acquired. Image analysis methods were used for image adjustement and two image segmentation methods were used. First method is watershed transform and second method is circle Hough transform. Python program was created and tested on various images of nanoparticles and nanorods. Sizes and shapes of nanoparticles and nanords were calculated and histograms of sizes were plotted.
Kolekce
- Bakalářské práce - 17110 [869]