Dr. Fang Huang
Areas of Research:
Ultra-high resolution three dimensional imaging in living specimens
We are in an exciting era of biology and biomedical engineering where the inner workings of cells can be explored by rapidly developing imaging methods. The recent advent of super-resolution microscopy breaks Abbe’s century-old resolution limit allowing, for the first time, biological observation of the extreme details in a cell.
The Huang laboratory focuses on developing the next generation of super-resolution microscopy methods that are capable of resolving subcellular structures and protein assemblies - previously impossible to visualize due to the diffraction limit, with nanometer resolution in live cell. Using our innovative methods, we aim to understand the functional mechanisms of cellular processes such as intracellular transport, cell motility and cell division.
With a highly interdisciplinary approach, we build novel super-resolution instruments that synergistically combine ideas from engineering and physics such as single photon interference, nanofabrication and adaptive optics. At the same time, we seek to invent algorithms that take advantage of concepts in mathematics, statistics and signal processing, such as sparsity, Bayesian inference, parallelized computing and machine learning. Through extensive collaboration with biologists, we will apply these techniques to tackle fundamental biological questions that were previously inaccessible.
We collaborate extensively both within the institute (e.g. with Biological Sciences, Electrical and Computer Engineering, Mechanical Engineering, etc.) and outside (e.g. with Yale University, Oxford University, etc.). Our students and postdocs will have the opportunity to travel both domestically and internationally to get trained from other top experts in the related field to expedite their professional development and research. We strongly encourage and support our trainees to actively attend multiple national conferences each year.
Looking for two highly motivated PhD students, 1 postdoc or 1 technician