319 citations · 570 across the 5 of their papers we have counts for
5 papers
Deep Phase Decoder: Self-calibrating phase microscopy with an untrained deep neural network
Emrah Bostan, Reinhard Heckel, Michael Chen +2
Deep neural networks have emerged as effective tools for computational imaging including quantitative phase microscopy of transparent samples. To reconstruct phase from intensity,…
High-resolution 3D refractive index microscopy of multiple-scattering samples from intensity images
Shwetadwip Chowdhury, Michael Chen, Regina Eckert +4
Optical diffraction tomography (ODT) reconstructs a samples volumetric refractive index (RI) to create high-contrast, quantitative 3D visualizations of biological samples. However,…
Data-Driven Design for Fourier Ptychographic Microscopy
Michael Kellman, Emrah Bostan, Michael Chen +1
Fourier Ptychographic Microscopy (FPM) is a computational imaging method that is able to super-resolve features beyond the diffraction-limit set by the objective lens of a traditio…
A Practical Reconstruction Method for Three-Dimensional Phase Contrast Atomic Electron Tomography
David Ren, Michael Chen, Laura Waller +1
Electron tomography is a technique used in both materials science and structural biology to image features well below optical resolution limit. In this work, we present a new algor…
Computational illumination for high-speed in vitro Fourier ptychographic microscopy
Lei Tian, Ziji Liu, Li-Hao Yeh +3
We demonstrate a new computational illumination technique that achieves large space-bandwidth-time product, for quantitative phase imaging of unstained live samples in vitro. Micro…