most citedHybrid-illumination multiplexed Fourier ptychographic microscopy with robust aberration correction

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

q-bio.QM2025

Digital Modeling of Spatial Pathway Activity from Histology Reveals Tumor Microenvironment Heterogeneity

Ling Liao, Changhuei Yang, Maxim Artyomov +5

Spatial transcriptomics (ST) enables simultaneous mapping of tissue morphology and spatially resolved gene expression, offering unique opportunities to study tumor microenvironment…

physics.optics20251 cited

Hybrid-illumination multiplexed Fourier ptychographic microscopy with robust aberration correction

Shi Zhao, Haowen Zhou, Changhuei Yang

Fourier ptychographic microscopy (FPM) is a powerful computational imaging modality that achieves high space-bandwidth product imaging for biomedical samples. However, its adoption…

physics.optics2025

Digital defocus aberration interference for automated optical microscopy

Haowen Zhou, Shi Zhao, Yujie Fan +4

Automation in optical microscopy is critical for enabling high-throughput imaging across a wide range of biomedical applications. Among the essential components of automated system…

physics.optics2025

Analytic Fourier ptychotomography for volumetric refractive index imaging

Zhenyu Dong, Haowen Zhou, Ruizhi Cao +5

Three-dimensional (3D) refractive index (RI) tomography offers label-free, quantitative volumetric imaging but faces limitations due to optical aberrations, limited resolution, and…

physics.optics2025

Five-dimensional single-shot fluorescence imaging using a polarized Fourier light-field microscope

Oumeng Zhang, Changhuei Yang

Single-shot fluorescence imaging techniques have gained increasing interest in recent years due to their ability to rapidly capture complex biological data without the need for ext…

eess.IV2024

Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology

Siyu, Lin, Haowen Zhou +4

In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology applications, potentially even outperforming expert pathologists due to their abi…