@inproceedings{3ddc01ed09104bddb9376bfbce963a09,
title = "Temporal focusing-based multiphoton excitation fluorescence images with background noise cancellation via Hilbert-Huang transform",
abstract = "Temporal focusing multiphoton excitation microscopy has wide field-of-view and optical sectioning. By using digital micromirror device, it provides patterned illumination. However, without filling the back aperture of objective lens, the axial confinement is limited to micron-meters, leading the out-of-focus fluorophores excited and image blurred. In this study, Hilbert-Huang transform is proposed to reduce the background noise. The empirical mode decomposition is first applied to disassemble the image into intrinsic mode functions and then reconstruct by Hilbert transform after diminishing background residues. The axial confinement can be enhanced from 2.79 μm to 0.73 μm with structure frequency in 1.06 μm-1.",
keywords = "Digital micromirror device, Hilbert-Huang transform, Structured illumination microscopy, Temporal focusing",
author = "{Yuling Hu}, Yvonne and Luo, {Yuan Rong} and Lin, {Chun Yu} and Chang, {Chia Yuan} and Chen, {Shean Jen}",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI 2019 ; Conference date: 05-02-2019 Through 07-02-2019",
year = "2019",
doi = "10.1117/12.2507695",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Brown, {Thomas G.} and Tony Wilson",
booktitle = "Three-Dimensional and Multidimensional Microscopy",
address = "United States",
}