University of Szeged, Research Group on Visual Computation
I am currently an Info-bionics Engineering MSc student at the University of Szeged in the Faculty of Science and Informatics and a student researcher in the Research Group on Visual Computation under the supervision of Prof. Zoltan Kato, at the Department of Image Processing and Computer Graphics.
I received my Bachelor of Science degree in Molecular Bionics Engineering from the University of Szeged in January, 2016. Between 2013-2016 I was working as a student researcher in the Biological Research Center of Szeged in the Biological Barriers Research Group under the supervision of Dr. Maria Deli, at the Institute of Biophysics.
University of Szeged, Research Group on Visual Computation
UMR 7039 CNRS and University of Lorraine, Research Center in Automatic Control of Nancy
Biological Research Center of Szeged, Hungarian Academy of Sciences, Biological Barriers Research Group
M.Sc. in Info-bionics Engineering
Institute of Informatics, University of Szeged
B.Sc. in Molecular Bionics Engineering
Institute of Chemistry, University of Szeged
Venue: Czech Technical University, Prague, Czech Republic
Venue: Eotvos Lorand University, Budapest, Hungary
Currently I am working on my master's thesis. I am updating my project's results in my researchgate site. For further information please visit this site.
Nora Horanyi, and Zoltan Kato. Multiview Absolute Pose Using 3D - 2D Perspective Line Correspondences and Vertical Direction. In Proceedings of the ICCV Workshop on Multiview Relationships in 3D Data, Venice, Italy, 2017, IEEE. [bibtex]
Nora Horanyi, and Zoltan Kato. Generalized Pose Estimation from Line Correspondences with Known Vertical Direction. In Proceedings of the International Conference on 3D Vision, Qingdao, China, 2017, IEEE. [bibtex]
The research project focuses on estimating the location and orientation of a moving stereo rig using extracted feature correspondences (e.g. points, lines, regions). The algorithm makes use of other sensors mounted on the same platform (e.g. GPS, IMU), but the final pose estimate is obtained via computer vision techniques. In general, pose estimation has 6 degree of freedom, but in our project we will develop algorithms for important special cases like pose estimation with known vertical direction, where the number of free parameters can be reduced to 4. The estimated camera pose can be used to implement viusal odometry.
This work is partially supported by: NKFI-6 fund through project K120366; Research & Development Operational Programe for the project "Modernization and Improvement of Technical Infrastructure for Research and Development of J. Selye University in the Fields of Nanotechnology and Intelligent Space", ITMS 26210120042, co-funded by the European Regional Development Fund; Agence Universitaire de la Francophonie (AUF) and the Romanian Institute for Atomic Physics (IFA), through the AUF-RO project NETASSIST.
She visited as a student researcher at Research Center in Automatic Control of Nancy, UMR 7039 CNRS and University of Lorraine in the framework of the NETASSIST project funded by AUF. This project develops methods for the networked control and sensing for a team of unmanned, assistive aerial vehicles that follows a group of vulnerable persons. On the control side, we consider multi-agent and consensus techniques, while on the vision side the focus is egomotion estimation of the UAVs and cooperative tracking of persons with filtering techniques. NETASSIST is an international cooperation project involving the Technical University of Cluj-Napoca in Romania, the University of Szeged in Hungary, and the University of Lorraine at Nancy, France.
The goal of this visit was to develop a drone control application based on sensor and visual information. For this we planned to process the stream of position and attitude measurements given by the vision algorithms, which she developed in her home institute, on a video taken from the drone, using a state estimator / filter and the dynamics of the drone. For the above-mentioned vision algorithm, she needed to work with 2D images and 3D dataset provided by OptiTrack and solve the question of feature extraction and matching in a video sequence for visual odometry application.
Glycocalyx which can be found in the surface of the endothalial cells is the part of the blood-brain barrier’s protection system and it has effect on the limitation of the material access. Research on the composition, rule and the change of the glycocalyx in illnesses recently became a significant research topic. However, we do not have data about the intestinal epithelial cell and particularly in the cerebral microvessels’ glycocalyx volume and a change in cell surface charge of direct measurements which have been performed. Our aim was therefore a direct measurement of surface charge of cultured brain endothelial cells and to examine how the surface charge and endothelial cell layers permeability change after the enzymatic digestion of the glycocalyx.
In our experiments D3 immortalized human brain endothelial cell line and primary rat brain endothelial cell cultures were employed. The amount of the glycocalyx was reduced by neuraminidase, trypsin and hyaluronidase enzymes which changes were validated using specific fluorescent labeled wheatgerm N-acetyl-D-glucosamine and sialic acid binding lectin. We took images from the binding of labeled lectin with confocal microscopy which fluorescence intensity was evaluated by Image J software. Cerebral endothelial cell surface charge was measured by the Malvern Zetasizer Nano ZS instrument. The brain endothelial cell lines were cultured into inserts to test their barrier function. We transferred dextran and Evans blue-albumin complex as a fluorescent reporter molecule to examine the cultures.
We successfully measured the surface charge of brain endothelial cells, and both cell types had strongly negative zeta potential which correlates to the literature. All three enzymes digested the glycocalyx and reduced the binding of the lectin. At the same time, the absolute value of the surface negative charge significantly reduced in both cell types. However, hyaluronidase and neuraminidase enzyme treatments did not affect the passage of the markers. The permeability increased only in the case of the trypsin digestion, although this enzyme cleavages the extracellular connections thus opens the paracellular transport route, which was visible in the morphological images.
We were the first one measuring and discribing the surface negative charge changes after the enzymatic digestion of the glycocalyx in human and rat brain endothelial cells. We found that the significant part of the surface charge origin from the glycocalyx in these cells, as after the enzymatic digestion the zeta potential of the cells became more positive. Reduction of the volume of the glycocalyx however did not affect the passage of the markers with neutral charge. In our future plans, we consider to use different materials with positive and negative charge for the surface modification of the glycocalyx, as well as to use other indicators with different charges in the permeability experiments.
My office location: 6720 Szeged, Arpad square 2, room 216.
Feel free to contact me by e-mail.