43 citations · 140 across the 10 of their papers we have counts for
10 papers
Dual-wavelength Fourier Ptychographic Topography
Yi Shen, Tongyu Li, Hao Wang +7
We introduce a dual-wavelength Fourier ptychographic topography (FPT) method that extends the lambda/2 height-range limit of single-wavelength FPT. By reconstructing complex fields…
Pose-Free 3D Quantitative Phase Imaging of Flowing Cellular Populations
Enze Ye, Wei Lin, Shaochi Ren +5
High-throughput 3D quantitative phase imaging (QPI) in flow cytometry enables label-free, volumetric characterization of individual cells by reconstructing their refractive index (…
Reflection-mode Multi-slice Fourier Ptychographic Tomography
Jiabei Zhu, Tongyu Li, Hao Wang +3
Diffraction tomography (DT) has been widely explored in transmission-mode configurations, enabling high-resolution, label-free 3D imaging. However, industrial metrology application…
Atom identification in bilayer moire materials with Gomb-Net
Austin C. Houston, Sumner B. Harris, Hao Wang +4
Moire patterns in van der Waals bilayer materials complicate the analysis of atomic-resolution images, hindering the atomic-scale insight typically attainable with scanning transmi…
Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational Imaging
Hao Wang, Jiabei Zhu, Yunzhe Li +2
Deep learning has transformed computational imaging, but traditional pixel-based representations limit their ability to capture continuous, multiscale details of objects. Here we i…
Asymmetric metasurface photodetectors for single-shot quantitative phase imaging
Jianing Liu, Hao Wang, Yuyu Li +2
The visualization of pure phase objects by wavefront sensing has important applications ranging from surface profiling to biomedical microscopy, and generally requires bulky and co…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
High-fidelity intensity diffraction tomography with a non-paraxial multiple-scattering model
Jiabei Zhu, Hao Wang, Lei Tian
We propose a novel intensity diffraction tomography (IDT) reconstruction algorithm based on the split-step non-paraxial (SSNP) model for recovering the 3D refractive index (RI) dis…
Adaptive 3D descattering with a dynamic synthesis network
Waleed Tahir, Hao Wang, Lei Tian
Deep learning has been broadly applied to imaging in scattering applications. A common framework is to train a descattering network for image recovery by removing scattering artifa…
Large-scale holographic particle 3D imaging with the beam propagation model
Hao Wang, Waleed Tahir, Jiabei Zhu +1
We develop a novel algorithm for large-scale holographic reconstruction of 3D particle fields. Our method is based on a multiple-scattering beam propagation method (BPM) combined w…