Open AccessImplementing selective edge enhancement in nonlinear optics
Author(s) -
Diefei Xu,
Tianlong Ma,
Xiaodong Qiu,
Wuhong Zhang,
Lixiang Chen
Publication year - 2020
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.404594
Subject(s) - optics , polarization (electrochemistry) , nonlinear system , spatial frequency , spatial filter , filter (signal processing) , physics , light intensity , edge enhancement , nonlinear optics , enhanced data rates for gsm evolution , second harmonic generation , polarizing filter , ray , optical filter , computer science , artificial intelligence , image processing , computer vision , laser , image (mathematics) , chemistry , quantum mechanics
Recently, it has been demonstrated that a nonlinear spatial filter using second harmonic generation can implement a visible edge enhancement under invisible illumination, and it provides a promising application in biological imaging with light-sensitive specimens. But with this nonlinear spatial filter, all phase or intensity edges of a sample are highlighted isotropically, independent of their local directions. Here we propose a vectorial one to cover this shortage. Our vectorial nonlinear spatial filter uses two cascaded nonlinear crystals with orthogonal optical axes to produce superposed nonlinear vortex filtering. We show that with the control of the polarization of the invisible illumination, one can highlight the features of the samples in special directions visually. Moreover, we find the intensity of the sample arm can be weaker by two orders of magnitude than the filter arm. This striking feature may offer a practical application in biological imaging or microscopy, since the light field reflected from the sample is always weak. Our work offers an interesting way to see and emphasize the different directions of edges or contours of phase and intensity objects with the polarization control of the invisible illumination.