Adaptive spatial filtering for off-axis digital holographic microscopy based on region recognition approach with iterative thresholding
Author(s) -
Xuefei He,
Chuong Nguyen,
Mrinalini Pratap,
Yujie Zheng,
Yi Wang,
David R. Nisbet,
Melanie Rug,
Alexander G. Maier,
Woei Lee
Publication year - 2016
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.2242876
Subject(s) - thresholding , artificial intelligence , computer science , computer vision , digital holographic microscopy , holography , pattern recognition (psychology) , iterative method , spatial filter , image resolution , microscopy , image (mathematics) , algorithm , optics , physics
Here we propose a region-recognition approach with iterative thresholding, which is adaptively tailored to extract the appropriate region or shape of spatial frequency. In order to justify the method, we tested it with different samples and imaging conditions (different objectives). We demonstrate that our method provides a useful method for rapid imaging of cellular dynamics in microfluidic and cell cultures.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom