Optimization of computational parameters in fluorescence imaging based on transport of intensity equation in white noise

Shiori Matsuda; Osamu Matoba

doi:10.1117/12.3025247

28 May 2024 Optimization of computational parameters in fluorescence imaging based on transport of intensity equation in white noise

Shiori Matsuda, Osamu Matoba

Author Affiliations +

Proceedings Volume 13083, SPIE Future Sensing Technologies 2024; 130831K (2024) https://doi.org/10.1117/12.3025247
Event: SPIE Future Sensing Technologies, 2024, Yokohama, Japan

Conference Poster

Abstract

We have investigated the optimization of computational parameters in fluorescence imaging based on the Transport of Intensity Equation (TIE). For the phase distribution acquired by Fourier-transformed TIE calculation, two computational parameters such as intensity thresholding and constant value in spatial frequency to avoid zero division should be determined to obtain the accurate phase distribution. This study aims to determine the optimal parameters under experimentation and evaluates parameter changes when noise exists. In this paper, we evaluate numerically the reconstructed phase error by changing two parameters when white noise exists.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Shiori Matsuda and Osamu Matoba "Optimization of computational parameters in fluorescence imaging based on transport of intensity equation in white noise", Proc. SPIE 13083, SPIE Future Sensing Technologies 2024, 130831K (28 May 2024); https://doi.org/10.1117/12.3025247

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