Typical Applications of Computational Phase Imaging

Computational phase imaging is a new method of imaging that utilizes phase measurements in combination with sophisticated image reconstruction algorithms to optimize the entire imaging process, from acquisition to reconstruction. As a computation-intensive inverse problem, the reconstruction problem eliminates bulky and expensive optical components usually used in traditional optical imaging. Computing phase imaging has several advantages and provides a lot of flexibility in imaging, which makes it highly interdisciplinary in nature and a preferred tool in diverse fields, from pathology to manufacturing and materials science.