Abstract: This study introduces a novel approach to visualizing applied substances within cells by leveraging the power of multimodal data fusion techniques. By integrating data from various imaging modalities, the research aims to achieve a comprehensive and high-resolution visualization of cellular components. The fusion process is enhanced through the use of advanced algorithms, enabling the precise alignment and combination of datasets to reveal intricate details of apiculated substances' localization and distribution within the cellular matrix. This methodology not only provides a deeper understanding of cellular biology but also aids in the identification of potential biomarkers for diseases associated with abnormal apiculated substance distribution. The findings underscore the importance of multimodal data fusion in expanding the capabilities of cellular imaging, offering new perspectives in biological research and medical diagnostics.

Supervisor: Adam Novozámský

Collaborating workplace: Ústavu biochemie a mikrobiologie VŠCHT