| dc.contributor | JUAN MANUEL RAMIREZ CORTES | |
| dc.contributor | ROBERTO BERRA ROMANI | |
| dc.creator | MARCIAL SANCHEZ TECUATL | |
| dc.date | 2014-10 | |
| dc.date.accessioned | 2023-07-25T16:21:06Z | |
| dc.date.available | 2023-07-25T16:21:06Z | |
| dc.identifier | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/195 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7805417 | |
| dc.description | The understanding about cells behavior and its interaction with the medium has
become fundamental in order to design therapies and drugs to maintain health of
living.
Endothelial cells cover the inner surface of blood vessels and cardiac cavities and
they achieve a wide variety of functions as the vascular tone regulation, inflammatory
reactions, fibrinolysis and coagulation. Proliferation and migration of endothelial cells
are strongly regulated by its intracellular calcium ([Ca]2+i ) concentration.
Those essential functions are altered when the endothelium is damaged by some
diseases as diabetes mellitus which is a public health problem that is increasing at
alarming rate not only in Mexico but also worldwide. Hence the importance of modeling
the endothelial cells behavior under different stimuli.
In this thesis a proposal to automate the intracellular calcium profiles extraction
from fluorescence image sequences of endothelial tissue is presented. Digital image
processing techniques, as adaptive binarization, were joined with a multi-target tracking
scheme supported by Kalman state estimation. Each component of the proposed
system is explained below.
The system was tested with image sequences from two different stimuli. Results
showed consistency in the extracted data and validated the need of the tracking
scheme. Two important contributions of this work are the automatic relocation of
the regions of interest assigned to the cells and the possibility of a massive data
extraction. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Instituto Nacional de Astrofísica, Óptica y Electrónica | |
| dc.relation | citation:Sanchez-Tecuatl M. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.subject | info:eu-repo/classification/Medición biomédica/Biomedical measurement | |
| dc.subject | info:eu-repo/classification/Imágenes digitales de fluorescencia/Fluorescence digital images | |
| dc.subject | info:eu-repo/classification/Filtro de Kalman/Kalman filter | |
| dc.subject | info:eu-repo/classification/Rastreo/Tracking | |
| dc.subject | info:eu-repo/classification/Procesando imagen digital/Digital image processing | |
| dc.subject | info:eu-repo/classification/Endotelio/Endothelium | |
| dc.subject | info:eu-repo/classification/cti/1 | |
| dc.subject | info:eu-repo/classification/cti/22 | |
| dc.subject | info:eu-repo/classification/cti/2203 | |
| dc.subject | info:eu-repo/classification/cti/2203 | |
| dc.title | [Ca2+]i Profiles extraction from endothelial cells using fluorescence digital images | |
| dc.type | info:eu-repo/semantics/masterThesis | |
| dc.type | info:eu-repo/semantics/acceptedVersion | |
| dc.audience | students | |
| dc.audience | researchers | |
| dc.audience | generalPublic | |
