About us

Tissue engineering is combining the principles of engineering and the life sciences to develop artificial tissues and organs for clinical use. One of the promising technologies for commercial manufacturing tissue constructs is extrusion 3D bioprinting. This method is used in our laboratory for creation scaffold, especially for cartilage tissue engineering. These bioprinted cell-laden scaffolds aimed to promote and support new tissue formation by providing a suitable environment for cell migration, proliferation, differentiation, and ensure a proper ECM secretion. Our research focused on bioink formulation, bioprinting with cells and cell spheroids, and cell differentiation in bioprinted scaffold.

The term nanotechnology encompasses various fields of science such as chemistry, biology, physics, and engineering, conducted at the nanoscale, which is about 1 to 100 nm. It includes methods of manipulation, fabrication, synthesis, and analysis. To visualize the scale, ten hydrogen atoms laid side-by-side would be 7 nm long. A strand of DNA has a width of 2.5 nm. A red blood cell is 7 000 nm wide. A sheet of paper is 75 000 nm thick. A human hair is 50 000 to 100 000 nm wide. At our lab, we focus on both nanofabrication and analysis of biomimetic materials, which are engineered structures that imitate biology in their function. Our current scientific interests include functionalized iron oxide nanoparticles, virus-like particles with magnetic core, and utilization of carbon nanotubes for 3D bioprinting and tissue engineering.

The aim of the project is to develop a novel immunodiagnostic ELISA test to detect anti-SARS-CoV-2 antibodies. The production of viral antigens for the ELISA test is based on our genetic constructs. Thanks to the fact that we create antigens ourselves, we will be able to quickly react to new mutant variants. In our lab, we study the immune response in people after vaccination. So far, we have studied over 2,500 people, carrying out over 4,000 pre- and post-vaccination tests. In addition, this project assumes to work with a robotic arm, which will speed up testing and eliminate potential human errors.