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Temporal focusing-based multiphoton excitation fluorescence images with background noise cancellation via Hilbert-Huang transform
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Paper 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.

Paper Details

Date Published: 21 February 2019
PDF: 6 pages
Proc. SPIE 10883, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI, 108831C (21 February 2019); doi: 10.1117/12.2507695
Show Author Affiliations
Yvonne Yuling Hu, National Cheng Kung Univ. (Taiwan)
Yuan-Rong Lo, National Cheng Kung Univ. (Taiwan)
Chun-Yu Lin, National Cheng Kung Univ. (Taiwan)
Chia-Yuan Chang, National Chiao Tung Univ. (Taiwan)
Shean-Jen Chen, National Cheng Kung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 10883:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI
Thomas G. Brown; Tony Wilson, Editor(s)

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