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Projects / Programmes source: ARIS

Intelligent Content-Aware Nanospectroscopy (iCAN) of molecular events in nanoparticles-induced neurodegeneration

Research activity

Code Science Field Subfield
1.02.07  Natural sciences and mathematics  Physics  Biophysics 
2.07.07  Engineering sciences and technologies  Computer science and informatics  Intelligent systems - software 

Code Science Field
1.03  Natural Sciences  Physical sciences 
1.02  Natural Sciences  Computer and information sciences 
Keywords
nanoparticles, molecular initiating events, adverse-outcome pathways, neurodegeneration, inflammation, fluorescence, microscopy, spectroscopy, super-resolution optical methods, machine learning, computer vision
Evaluation (rules)
source: COBISS
Points
3,077.97
A''
757.67
A'
1,673.49
A1/2
2,073.86
CI10
9,415
CImax
928
h10
43
A1
11.19
A3
7.69
Data for the last 5 years (citations for the last 10 years) on July 11, 2024; A3 for period 2018-2022
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  204  7,526  6,976  34.2 
Scopus  220  9,763  9,085  41.3 
Researchers (14)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  29381  PhD Luka Čehovin Zajc  Computer science and informatics  Researcher  2021 - 2024  125 
2.  55529  Petra Čotar    Technical associate  2021 - 2024  11 
3.  21546  PhD Tilen Koklič  Physics  Researcher  2020 - 2024  139 
4.  38854  PhD Boštjan Kokot  Physics  Researcher  2020 - 2024  31 
5.  38855  PhD Hana Kokot  Physics  Junior researcher  2020 - 2022  45 
6.  53101  Ana Krišelj    Technical associate  2020 - 2022  23 
7.  55052  Blaž Mencinger    Technical associate  2023 - 2024 
8.  34747  PhD Rok Podlipec  Physics  Researcher  2020 - 2024  85 
9.  52062  Aleksandar Sebastijanović  Physics  Junior researcher  2020 - 2022  18 
10.  18198  PhD Danijel Skočaj  Computer science and informatics  Researcher  2020 - 2024  317 
11.  18273  PhD Janez Štrancar  Physics  Researcher  2020 - 2024  374 
12.  34398  PhD Domen Tabernik  Computer science and informatics  Researcher  2020 - 2024  51 
13.  57879  Cody Frank Tripp    Technical associate  2023 - 2024 
14.  32057  PhD Iztok Urbančič  Physics  Head  2020 - 2024  136 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0106  Jožef Stefan Institute  Ljubljana  5051606000  91,836 
2.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,682 
Abstract
Inhalation of fine particulate matter (PM2.5) and ultrafine nanoparticles in polluted air is knowingly associated with neurodegenerative and other chronic diseases, which are one of the major contributors to the global death burden. Even though increasing amounts of engineered nanoparticles enter the environment, our limited understanding of the mechanisms of their action hinders efficient prevention and treatment of associated health conditions. To understand the causal relationship between exposure to nanoparticles and disease progression, it is crucial to discern Adverse Outcome Pathways (AOPs), which connect initiating events on the molecular level to the adverse outcome at the level of an organism via a complete sequence of causally linked key events. We have recently visualised such early supramolecular rearrangements at the NP-cell contact by advanced live-cell super-resolution microscopy and spectroscopy techniques. However, their slow acquisition process has precluded adequate sampling of such rare events to complete the AOPs. We aim to improve the statistics of the captured rare events by developing the Intelligent Content-Aware Nanospectroscopy (iCAN). We will employ intelligent state-of-the-art computer-vision algorithms to automatically identify the content of interest for targeted nanospectroscopic measurements, which will allow us to identify and quantify early events following NP exposure. By additional evaluation of the response of individual cells to their local dose, we aim to causally connect the early events leading towards neurodegenerative effects of exposure to nanoparticles.
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