Projects / Programmes
Cell visualization of unified microscopic data and pocedurally generated sub-cellular structures
Code |
Science |
Field |
Subfield |
2.07.00 |
Engineering sciences and technologies |
Computer science and informatics |
|
Code |
Science |
Field |
1.02 |
Natural Sciences |
Computer and information sciences |
visualization, sub-cellular structures, merged rendering, multi-scale rendering
Data for the last 5 years (citations for the last 10 years) on
October 15, 2025;
Data for score A3 calculation refer to period
2020-2024
Data for ARIS tenders (
04.04.2019 – Programme tender,
archive
)
Database |
Linked records |
Citations |
Pure citations |
Average pure citations |
WoS |
27
|
101
|
90
|
3.33
|
Scopus |
37
|
179
|
154
|
4.16
|
Organisations (1)
, Researchers (5)
1539 University of Ljubljana, Faculty of Computer and Information Science
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
30062 |
PhD Ciril Bohak |
Computer science and informatics |
Head |
2024 - 2025 |
206 |
2. |
59036 |
Eva Boneš |
Computer science and informatics |
Researcher |
2025 |
8 |
3. |
52309 |
Žiga Lesar |
Computer science and informatics |
Researcher |
2024 - 2025 |
63 |
4. |
15677 |
PhD Matija Marolt |
Computer science and informatics |
Researcher |
2024 - 2025 |
436 |
5. |
56478 |
Manca Žerovnik Mekuč |
Computer science and informatics |
Researcher |
2024 - 2025 |
13 |
Abstract
The goal of the project is to use real biomedical volumetric microscopy data in the development of visual models of subcellular structures: cytosol, mitochondria, compartments of the lysosomal pathway, Golgi apparatus and fusiform vesicles. We want that the developed visual models reflect the visual properties of these structures in the real data and that they can be used in procedural generation of numerous entities of individual structures within the given cell boundaries. Furthermore, we want to develop visualization methods that will support the use of the developed visual models, their adaptation and fusion with the rendering of real data. The developed models and methods will be compared with state-of-the-art visualization methods as well as evaluated in a user study, where we will determine the meaningfulness and correctness of the visualization outputs. Since there will be biomedical researchers involved in some of the project activities, we believe that the results will be useful in their research, especially for confirming the distribution of structures within the cell as well as the variance of their shapes and their involvement in the cellular processes. We plan to publish the results of the project in leading publications from the field of visualization of computer graphics.