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

2 citations · 4 across the 7 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

Recover Biological Structure from Sparse-View Diffraction Images with Neural Volumetric Prior

Renzhi He, Haowen Zhou, Yubei Chen +1

Volumetric reconstruction of label-free living cells from non-destructive optical microscopic images reveals cellular metabolism in native environments. However, current optical to…

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…

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…