Utilization of Curvelet Transform in Reconstructing Cellular Images for Undersampled Optical-Resolution Photoacoustic Microscopy

Sulistyawan, I Gede Eka; Nishimae, Daisuke; Ishii, Takuro; Saijo, Yoshifumi

doi:10.1109/tuffc.2023.3272917

Cited by 2 publications

(1 citation statement)

References 38 publications

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“…This work was later expanded upon in another work by Sathyanarayana et al., 75 which could recover hemodynamic parameters from undersampled multi-parametric PAM data with up to eight times undersampling, with less error than bicubic interpolation. More recently in Sulistyawan et al.’s work, 76 a curvelet transform was used to reconstruct the boundary and separability of cells in images randomly undersampled up to eight-fold with better noise rejection and edge recovery compared with nearest neighbor interpolation with a smoothing filter.…”

Section: Computational Techniquesmentioning

confidence: 99%

Sounding out the dynamics: a concise review of high-speed photoacoustic microscopy

Cho,

Nguyen,

DiSpirito

et al. 2024

J. Biomed. Opt.

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. Significance Photoacoustic microscopy (PAM) offers advantages in high-resolution and high-contrast imaging of biomedical chromophores. The speed of imaging is critical for leveraging these benefits in both preclinical and clinical settings. Ongoing technological innovations have substantially boosted PAM’s imaging speed, enabling real-time monitoring of dynamic biological processes. Aim This concise review synthesizes historical context and current advancements in high-speed PAM, with an emphasis on developments enabled by ultrafast lasers, scanning mechanisms, and advanced imaging processing methods. Approach We examine cutting-edge innovations across multiple facets of PAM, including light sources, scanning and detection systems, and computational techniques and explore their representative applications in biomedical research. Results: This work delineates the challenges that persist in achieving optimal high-speed PAM performance and forecasts its prospective impact on biomedical imaging. Conclusions Recognizing the current limitations, breaking through the drawbacks, and adopting the optimal combination of each technology will lead to the realization of ultimate high-speed PAM for both fundamental research and clinical translation.

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Section: Computational Techniquesmentioning

confidence: 99%