ArticleJournal of biomedical optics2022
Noise-robust phase-space deconvolution for light-field microscopy.
Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Intravital mesoscale optical imaging: challenges, techniques, and future perspectives.Biophysics reports · 2026Article
- Leveraging spatial-angular redundancy for self-supervised denoising of 3D fluorescence imaging without temporal dependency.Nature communications · 2025Article
- Physics-driven self-supervised learning for fast high-resolution robust 3D reconstruction of light-field microscopy.Nature methods · 2025Article
- Efficient high-resolution fluorescence projection imaging over an extended depth of field through optical hardware and deep learning optimizations.Biomedical optics express · 2024Article
- Myeloid-Mas Signaling Modulates Pathogenic Crosstalk among MYCAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Video-rate 3D imaging of living cells using Fourier view-channel-depth light field microscopy.Communications biology · 2023Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
significanceLight-field microscopy has achieved success in various applications of life sciences that require high-speed volumetric imaging. However, existing light-field reconstruction algorithms degrade severely in low-light conditions, and the deconvolution process is time-consuming.
aimThis study aims to develop a noise robustness phase-space deconvolution method with low computational costs. APPROACH: We reformulate the light-field phase-space deconvolution model into the Fourier domain with random-subset ordering and total-variation (TV) regularization. Additionally, we build a time-division-based multicolor light-field microscopy and conduct the three-dimensional (3D) imaging of the heart beating in zebrafish larva at over 95 Hz with a low light dose.
resultsWe demonstrate that this approach reduces computational resources, brings a tenfold speedup, and achieves a tenfold improvement for the noise robustness in terms of SSIM over the state-of-the-art approach.
conclusionsWe proposed a phase-space deconvolution algorithm for 3D reconstructions in fluorescence imaging. Compared with the state-of-the-art method, we show significant improvement in both computational effectiveness and noise robustness; we further demonstrated practical application on zebrafish larva with low exposure and low light dose.
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