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20222025
most citedPoint-Spread-Function Engineering in MINFLUX: Optimality of Donut and Half-Moon Excitation Patterns

6 citations · 15 across the 10 of their papers we have counts for

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physics.optics2025

Structured Random Models for Phase Retrieval with Optical Diffusers

Zhiyuan Hu, Fakhriyya Mammadova, Julián Tachella +2

Phase retrieval is a nonlinear inverse problem that arises in a wide range of imaging modalities, from electron microscopy to Fourier ptychography. In particular, the reconstructio…

physics.optics2025

A global inverse-problem approach to quantitative photo-switching optoacoustic mesoscopy

Yan Liu, Jonathan Chuah, Michael Unser +1

In this paper, we propose a global framework that includes a detailed model of the photo-switching and acoustic processes for photo-switching optoacoustic mesoscopy, based on the u…

physics.optics2025

Revisiting PSF models: unifying framework and high-performance implementation

Yan Liu, Vasiliki Stergiopoulou, Jonathan Chuah +5

Localization microscopy often relies on detailed models of point spread functions. For applications such as deconvolution or PSF engineering, accurate models for light propagation…

physics.optics2025★ 2 cited

Perturbative Fourier Ptychographic Microscopy for Fast Quantitative Phase Imaging

Martin Zach, Kuan-Chen Shen, Ruiming Cao +3

In computational phase imaging with a microscope equipped with an array of light emitting diodes as illumination unit, conventional Fourier ptychographic microscopy achieves high r…

physics.optics2024★ 6 cited

Point-Spread-Function Engineering in MINFLUX: Optimality of Donut and Half-Moon Excitation Patterns

Yan Liu, Jonathan Dong, Juan Augusto Maya +2

Localization microscopy enables imaging with resolutions that surpass the conventional optical diffraction limit. Notably, the MINFLUX method achieves super-resolution by shaping t…

physics.optics2024★ 4 cited

Structured Random Model for Fast and Robust Phase Retrieval

Zhiyuan Hu, Julián Tachella, Michael Unser +1

Phase retrieval, a nonlinear problem prevalent in imaging applications, has been extensively studied using random models, some of which with i.i.d. sensing matrix components. While…

physics.optics2024★ 1 cited

Model-based temporal unmixing towards quantitative photo-switching optoacoustic tomography

Yan Liu, Jonathan Chuah, Yishu Huang +3

Optoacoustic (OA) imaging combined with reversibly photoswitchable proteins has emerged as a promising technology for the high-sensitivity and multiplexed imaging of cells in live…

physics.optics2022★ 2 cited

Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration

Yan Liu, Jonathan Dong, Thanh-an Pham +2

Optical projection tomography (OPT) is a powerful tool for biomedical studies. It achieves 3D visualization of mesoscopic biological samples with high spatial resolution using conv…