Open AccessMotion-resolved quantitative phase imaging
Author(s) -
Michael Kellman,
Michael Chen,
Zachary F. Phillips,
Michael Lustig,
Laura Waller
Publication year - 2018
Publication title -
biomedical optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.9.005456
Subject(s) - computer vision , computer science , artificial intelligence , phase (matter) , temporal resolution , motion (physics) , phase imaging , sample (material) , motion estimation , image resolution , optics , physics , microscopy , quantum mechanics , thermodynamics
The temporal resolution of quantitative phase imaging with Differential Phase Contrast (DPC) is limited by the requirement for multiple illumination-encoded measurements. This inhibits imaging of fast-moving samples. We present a computational approach to model and correct for non-rigid sample motion during the DPC acquisition in order to improve temporal resolution to that of a single-shot method and enable imaging of motion dynamics at the framerate of the sensor. Our method relies on the addition of a simultaneously-acquired color-multiplexed reference signal to enable non-rigid registration of measurements prior to phase retrieval. We show experimental results where we reduce motion blur from fast-moving live biological samples.