activity
20232025
most citedSingle-shot volumetric fluorescence imaging with neural fields

2 citations · 4 across the 8 of their papers we have counts for

collaborators

10 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.optics2025★ 1 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…

physics.optics2024

Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution

Shi Zhao, Haowen Zhou, Siyu Lin +2

Whole slide imaging provides a wide field-of-view (FOV) across cross-sections of biopsy or surgery samples, significantly facilitating pathological analysis and clinical diagnosis.…

eess.IV2024

Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis

Haowen Zhou, Steven, Lin +6

Deep learning assisted digital pathology has the potential to impact clinical practice in significant ways. In recent studies, deep neural network (DNN) enabled analysis outperform…

physics.optics2024★ 2 cited

Single-shot volumetric fluorescence imaging with neural fields

Oumeng Zhang, Haowen Zhou, Brandon Y. Feng +5

Single-shot volumetric fluorescence (SVF) imaging offers a significant advantage over traditional imaging methods that require scanning across multiple axial planes as it can captu…

physics.optics2023★ 1 cited

FPM-INR: Fourier ptychographic microscopy image stack reconstruction using implicit neural representations

Haowen Zhou, Brandon Y. Feng, Haiyun Guo +4

Image stacks provide invaluable 3D information in various biological and pathological imaging applications. Fourier ptychographic microscopy (FPM) enables reconstructing high-resol…