NIH Research Festival
Detecting changes in cellular metabolism and viability is vital in various fields such as modern biology, drug development, toxicology, and cell biology research. To achieve this, real-time observation of dynamic activity in cells or tissues is essential. Such observations provide valuable insights into the underlying physiological and pathological processes, including intricate signaling pathways and cellular interactions. However, traditional methods like fluorescence imaging or dye analysis have limitations that hinder their effectiveness in observing intracellular activity and viability.
In this regard, we propose a label-free, non-invasive, and automated method for evaluating dynamic activity in cells or tissues and assessing cell viability. Our approach utilizes high-speed optical imaging techniques and artificial intelligence (AI) methods, enabling objective assessment. Unlike traditional methods that may yield subjective results based on expert interpretation, our method facilitates the study of complex signaling pathways and cellular interactions in a comprehensive and unbiased manner.
Scientific Focus Area: Cell Biology
This page was last updated on Monday, September 25, 2023