Segmentacija i praćenje matičnih stanica u mikroskopskim snimkama

master's thesis

• Title (english): Segmentation and Tracking of Stem Cells in Microscopic Sequences
• Author: Iva Cvitković
• Mentor: Igor Lacković (mentor)
• Committee member: Igor Lacković (predsjednik povjerenstva)
• Committee member: Ratko Magjarević (član povjerenstva)
• Committee member: Željka Lučev Vasić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Segmentacija i računalno praćenje matičnih stanica jedni su od ključnih alata razvoja i napretka medicinskih istraživanja, time i znanosti općenito. Zadatak ovog rada je razviti algoritam koji će omogućiti jednostavan pristup korištenju sustava koji može razlučivati matične stanice i računalno ih pratiti. Težeći tome cilju, uz razvijene algoritme, napravljeno je i korisničko sučelje koje omogućava intuitivnu uporabu i vizualni prikaz rezultata. Za ispit kvalitete rada sustava poslužile su snimke živčanih matičnih stanica snimljenih mikroskopskim sustavom EVOS. Na tim snimkama pokazani su uspješni rezultati rada sustava, kao i njegova ograničenja i nedostatke zbog izrazite ovisnosti o velikom broju parametara.

Abstract (english)

Segmentation and automated cell tracking are one of crucial tools for medical researches' development and improvement. The main task of this work is to structure an algorithm which will enable a simple approach in cell segmentation and tracking. Along with the algorithms, user interface is developed to simplify the usage and visualize obtained results. Final evaluation of quality of the system was tested using microscopic sequences acquired using EVOS microscopic system. Using these images, both satisfying and unsatisfying results are shown, with note on limitations and imperfections of system as a whole, due to expressive dependency on a large number of external factors.

• Keywords: segmentacija; automatsko praćenje; stanice
• Keywords (english): segmentation; automated tracking; cells
• Language: croatian
• URN:NBN: urn:nbn:hr:168:772857
• 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: 2023-01-13 09:52:00