Project information
Multimodal Microscopy Techniques Combining Raman, Quantitative Phase Imaging for Cancer Related Studies (MICROCOSM)

Information

This project doesn't include Faculty of Science. It includes Central European Institute of Technology. Official project website can be found on muni.cz.
Project Identification
74343
Project Period
5/2025 - 1/2027
Investor / Pogramme / Project type
Ostatní - foreign
MU Faculty or unit
Central European Institute of Technology
Cooperating Organization
Massachusetts Institute of Technology

Inside our bodies, cells, and tissues have their own unique mechanics that play a crucial role in our well-being. Imagine being able to peek into this microscopic world to understand how these tiny structures change, both in health and during diseases.
Our project aims to investigate the mechanical properties of cells and tissues using a combination of advanced methods like Atomic Force Microscopy (AFM), optical microscopies, and other cutting-edge techniques. By doing so, we'll observe and measure how these structures behave under different conditions, both in their natural state and when affected by diseases.
Using specialized tools like AFM, which can feel the surface of cells with incredible precision, and optical microscopies that enable us to see inside these structures, we'll collect detailed information about their mechanical properties. We'll compare the stiffness, flexibility, and other mechanical characteristics of healthy cells and tissues with those impacted by various diseases.
Understanding these mechanical changes is crucial. It can provide insights into the early stages of diseases or help us comprehend how certain treatments affect cells and tissues. By studying these alterations, we might discover new ways to diagnose diseases earlier or develop more effective therapies to combat them.
In essence, our project aims to uncover the mechanical differences within cells and tissues, shedding light on how these changes relate to both natural functioning and diseases. This knowledge could pave the way for innovative diagnostic tools and therapies that may improve healthcare outcomes in the future.

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