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Projects / Programmes source: ARIS

Cell visualization of unified microscopic data and pocedurally generated sub-cellular structures

Research activity

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 
Keywords
visualization, sub-cellular structures, merged rendering, multi-scale rendering
Evaluation (metodology)
source: COBISS
Points
1,945.67
A''
279.97
A'
759.29
A1/2
1,215.58
CI10
484
CImax
45
h10
11
A1
6.72
A3
1.08
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 
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.
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