Automatsko praćenje parametara oblika stanica u mikroskopskim snimkama

master's thesis

• Title (english): Automated Tracking of Cell Shape Parameters in Microscopic Sequences
• Author: Matea Torbarina
• Mentor: Igor Lacković (mentor)
• Committee member: Igor Lacković (predsjednik povjerenstva)
• Committee member: Ratko Magjarević (član povjerenstva)
• Committee member: Darko Vasić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-10, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Automatsko praćenje mikroskopskih slika omogućuje jednostavnu i učinkovitu analizu stanica koje se na njima nalaze. Praćenje ponašanja matičnih stanica posebno je zanimljivo zbog njihovog velikog potencijala u liječenju raznih bolesti, stoga bi algoritam koji ima mogućnost praćenja stanica i određivanja njihovih parametara bio od velike koristi. Cilj ovog rada bio je razviti algoritam za praćenje jednog ili više objekata u videozapisu, razviti korisničko sučelje za prikaz praćenja objekta te razviti algoritme za mjerenje površine i opsega oblika objekata, što je uspješno ostvareno. Kao ulazni podaci korišteni su sintetski generiran videozapis te snimke stanica. Prilikom ispitivanja, algoritam se pokazao uspješnim, međutim neki od slučajeva kao što su promjena razlučivosti slike, šum na slici, promjena oblika praćenog objekta, uspjeli su omesti njegov rad.

Abstract (english)

Automatic tracking of microscopic images makes the cell analysis much easier and efficient. Stem cells tracking is very interesting because stem cells have large potential to cure various diseases. Because of that, an algorithm with ability of tracking cells and extracting cell parameters would be huge progress in biomedical area. The goal of this work was to develop the cell tracking algorithm for tracking one or more objects in video and extracting cell parameters and also to develop the user interface to display the tracking procedure. The synthetically generated video and stem cell video were used as an input data for algorithm testing. During the testing, the algorithm proved to be successful, but some of input data changes such as resolution change, noise presence in image and shape changes of tracking object, disrupted its work.

• Keywords: automatsko; pra ́cenje; pokretni objekti; stanice
• Keywords (english): automatic; tracking; moving objects; cells
• Language: croatian
• URN:NBN: urn:nbn:hr:168:486075
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 22:43:10