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Fast surface profilometry utilizing structured illumination microscopy based on the time-domain phase-shift technique

Authors :
Yu He
Lei Liu
Zhongye Xie
Jinhua Feng
Song Hu
Yan Tang
Source :
Applied Optics. 58:8180
Publication Year :
2019
Publisher :
The Optical Society, 2019.

Abstract

Structured illumination microscopy (SIM) has attracted much research interest due to its high accuracy, strong adaptability, and high efficiency. Existing SIM is mainly based on the phase-shift technique, Hilbert transform technique, and global Fourier transform technique. The phase-shift technique is most widely applied for its higher accuracy, and both the phase-shift technique and Hilbert transform technique suffer from lower speed because multiple images are needed to obtain modulation information for each scanning step. The global Fourier transform technique has a higher speed, but the high-frequency information of the sample will inevitably be lost because a filter window is used. As a result, the global Fourier transform technique is limited to smooth surfaces. In this paper, a fast surface profilometry using SIM is proposed. It is based on the time-domain phase-shift technique (SIM-TPT), which combines one-fringe projection and phase shift. In this proposed measurement system, vertical scanning of the object is synchronized with the switching of the phase-shifted fringe pattern. As a result, only one fringe pattern must be projected, which enables a point-to-point processing defined as the local Fourier transform method in this paper to be utilized to extract the modulation information that will preserve the high-frequency information of the image so it can be applied to both smooth and rough surfaces. Compared to conventional SIM, SIM-TPT has a higher speed because it is a simpler system and can be applied to complex structures such as high roughness surfaces and steep edges.

Details

ISSN :
21553165 and 1559128X
Volume :
58
Database :
OpenAIRE
Journal :
Applied Optics
Accession number :
edsair.doi.dedup.....514a58ae4b305a72804a7d517745bb1b
Full Text :
https://doi.org/10.1364/ao.58.008180