Projects / Programmes
Quantitative volumetric microscopy for label-free characterization of emulsion droplets and liquid crystals in microfluidic environments
Code |
Science |
Field |
Subfield |
2.21.00 |
Engineering sciences and technologies |
Technology driven physics |
|
Code |
Science |
Field |
1.03 |
Natural Sciences |
Physical sciences |
Droplet microfluidics, volumetric microscopy, liquid crystals, emulsions, light sensing, light propagation, inverse modelling, label-free, lens-less computational imaging, neural networks, deep learning.
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 |
336
|
8,343
|
7,335
|
21.83
|
Scopus |
428
|
10,564
|
9,288
|
21.7
|
Organisations (2)
, Researchers (13)
0381 University of Ljubljana, Faculty of Medicine
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
18326 |
PhD Jure Derganc |
Neurobiology |
Researcher |
2023 - 2025 |
126 |
2. |
54463 |
Rok Štanc |
Physics |
Young researcher |
2023 - 2025 |
16 |
3. |
26467 |
PhD Uroš Tkalec |
Physics |
Head |
2023 - 2025 |
225 |
4. |
30998 |
Marko Tuljak |
|
Technical associate |
2023 - 2025 |
0 |
1538 University of Ljubljana, Faculty of Electrical Engineering
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
53941 |
PhD Žiga Bizjak |
Systems and cybernetics |
Researcher |
2023 |
29 |
2. |
25528 |
PhD Miran Burmen |
Systems and cybernetics |
Researcher |
2023 - 2025 |
115 |
3. |
15678 |
PhD Boštjan Likar |
Systems and cybernetics |
Researcher |
2023 - 2025 |
381 |
4. |
38161 |
PhD Ana Marin |
Systems and cybernetics |
Researcher |
2023 - 2024 |
37 |
5. |
36457 |
PhD Peter Naglič |
Systems and cybernetics |
Researcher |
2023 - 2024 |
57 |
6. |
06857 |
PhD Franjo Pernuš |
Systems and cybernetics |
Researcher |
2023 - 2025 |
520 |
7. |
55680 |
Domen Preložnik |
Computer science and informatics |
Researcher |
2023 - 2024 |
0 |
8. |
28465 |
PhD Žiga Špiclin |
Systems and cybernetics |
Researcher |
2023 - 2025 |
159 |
9. |
23404 |
PhD Tomaž Vrtovec |
Systems and cybernetics |
Researcher |
2023 - 2025 |
221 |
Abstract
Interplay between emulsion droplets and liquid crystals in microfluidic environments provides a unique platform for research of unexplored phenomena in soft matter, enabling detection of chemical compounds and biological structures, which is expected to provide solutions to various biological and health related problems. On the one hand, emulsion droplets act as microreactors, offering low sample consumption, enhanced control over mass or heat transport, monodispersity, high-throughput analysis, compartmentalization of chemical reactions, and prevention of sample contamination. On the other hand, liquid crystals exhibit properties of anisotropic fluids with long-range orientational order of the constituent molecules, and represent highly responsive materials that react to external fields and chemical gradients in the surrounding media.
Quantitative characterization is key to understanding the underlying physics and chemistry of the phenomena involving emulsion droplets and liquid crystals. Such characterization is currently accomplished by various optical microscopy techniques using polarized light, fluorescence, stimulated emission depletion, and Raman scattering. These techniques lack volumetric information, require fluorescent labeling, and have low time efficiency. Therefore, the introduction of a new microscopy technique that enables time-efficient, label-free, and quantitative volumetric characterization of dynamic processes involving emulsion droplets and liquid crystals in microfluidic environments is of paramount importance.
Ideally suited for this task is digital holographic microscopy, which is based on the digital recording of an interference pattern (a hologram) between the reference light wave and the scattered light wave emitted by microscopic objects. The recorded hologram can be reconstructed computationally into quantitative volumetric information including the morphology and three-dimensional refractive index distribution of the microscopic objects. The refractive index distribution reveals general structure of the objects, local variations in molecular concentration and their orientation, quantitative information about mass transport, and even optical birefringence. This information could prove pivotal in the field of emulsions and liquid crystals in microfluidic environments, making it an important research topic.
The goal of the proposed research project is to conceive and promote novel quantitative volumetric and label-free methods based on digital holographic microscopy to characterize the morphology and three-dimensional refractive index distribution of microfluidic droplets and liquid crystal emulsions. The main objectives of the proposed research are: 1) development of analytical and numerical models for light scattering and propagation through emulsion droplets, liquid crystals and optical elements, 2) development of inverse models and reconstruction algorithms to determine the morphology and three-dimensional refractive index distribution of emulsion droplets and liquid crystals, 3) experimental realization of several digital holographic microscopy configurations based on on-axis and off-axis light path systems in transmission and reflection modes, 4) establishment of a reference standard for emulsion droplets for critical evaluation and comparison of models and experimental configurations, 5) time-efficient improvement of inverse models, reconstruction algorithms, and digital holographic microscopy configurations, and finally 6) characterization of dynamic processes and phenomena involving emulsion droplets and liquid crystals in microfluidic environments.
We anticipate that realization of the proposed methods will not only provide novel quantitative volumetric and label-free technologies for characterization of emulsion droplets and liquid crystals but also open new avenues for use in interdisciplinary sciences and industry, where current detection methods are considered inadequate.