Скачать или смотреть Investigation of lung tissue at the micro-mechanical level through atomic force microscopy technique

Reference: https://app.jove.com/t/2911/micro-mec...
The investigation of lung tissue at a micro-mechanical level has gained significant attention in recent years, particularly through the application of Atomic Force Microscopy (AFM). This advanced imaging technique allows researchers to explore the mechanical properties of lung tissue with high spatial resolution, providing insights into the structural and functional characteristics of the pulmonary system. By utilizing AFM, scientists can measure parameters such as stiffness, elasticity, and surface topography, which are crucial for understanding the biomechanical behavior of lung tissues under various physiological and pathological conditions.

In the context of lung health and disease, the micro-mechanical properties of lung tissue can reveal important information about the underlying mechanisms of respiratory disorders. For instance, alterations in tissue stiffness may indicate the presence of fibrosis or other pathological changes that affect lung function. By characterizing these mechanical properties, researchers can better understand how diseases like asthma, chronic obstructive pulmonary disease (COPD), and pulmonary hypertension impact lung mechanics. Furthermore, this knowledge can aid in the development of targeted therapies and interventions aimed at restoring normal lung function.

The application of AFM in the micro-mechanical characterization of lung tissue not only enhances our understanding of respiratory health but also opens new avenues for biomedical research. As the technology continues to evolve, it holds the potential to provide real-time insights into the dynamic changes occurring within lung tissues during various physiological processes. This capability could lead to the identification of novel biomarkers for early disease detection and the evaluation of treatment efficacy. Ultimately, the integration of micro-mechanical analysis with other imaging modalities and clinical assessments may pave the way for more personalized approaches to lung disease management.