Live-cell imaging powered by computation

H Shroff, I Testa, F Jug, S Manley - Nature Reviews Molecular Cell …, 2024 - nature.com
The proliferation of microscopy methods for live-cell imaging offers many new possibilities
for users but can also be challenging to navigate. The prevailing challenge in live-cell …

Physics-informed computer vision: A review and perspectives

C Banerjee, K Nguyen, C Fookes, K George - ACM Computing Surveys, 2024 - dl.acm.org
The incorporation of physical information in machine learning frameworks is opening and
transforming many application domains. Here the learning process is augmented through …

Field-dependent deep learning enables high-throughput whole-cell 3D super-resolution imaging

S Fu, W Shi, T Luo, Y He, L Zhou, J Yang, Z Yang… - Nature …, 2023 - nature.com
Single-molecule localization microscopy in a typical wide-field setup has been widely used
for investigating subcellular structures with super resolution; however, field-dependent …

DEEP-squared: deep learning powered De-scattering with Excitation Patterning

N Wijethilake, M Anandakumar, C Zheng… - Light: Science & …, 2023 - nature.com
Limited throughput is a key challenge in in vivo deep tissue imaging using nonlinear optical
microscopy. Point scanning multiphoton microscopy, the current gold standard, is slow …

Deep-learning-augmented computational miniature mesoscope

Y Xue, Q Yang, G Hu, K Guo, L Tian - Optica, 2022 - opg.optica.org
Fluorescence microscopy is essential to study biological structures and dynamics. However,
existing systems suffer from a trade-off between field of view (FOV), resolution, and system …

Coordinate-based neural representations for computational adaptive optics in widefield microscopy

I Kang, Q Zhang, SX Yu, N Ji - Nature Machine Intelligence, 2024 - nature.com
Widefield microscopy is widely used for non-invasive imaging of biological structures at
subcellular resolution. When applied to a complex specimen, its image quality is degraded …

INFWIDE: Image and feature space Wiener deconvolution network for non-blind image deblurring in low-light conditions

Z Zhang, Y Cheng, J Suo, L Bian… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Under low-light environment, handheld photography suffers from severe camera shake
under long exposure settings. Although existing deblurring algorithms have shown …

Optofluidic imaging meets deep learning: from merging to emerging

DMD Siu, KCM Lee, BMF Chung, JSJ Wong, G Zheng… - Lab on a Chip, 2023 - pubs.rsc.org
Propelled by the striking advances in optical microscopy and deep learning (DL), the role of
imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a …

Spatio-Temporal Turbulence Mitigation: A Translational Perspective

X Zhang, N Chimitt, Y Chi, Z Mao… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recovering images distorted by atmospheric turbulence is a challenging inverse problem
due to the stochastic nature of turbulence. Although numerous turbulence mitigation (TM) …

Different channels to transmit information in scattering media

X Zhang, J Gao, Y Gan, C Song, D Zhang, S Zhuang… - PhotoniX, 2023 - Springer
A communication channel should be built to transmit information from one place to another.
Imaging is 2 or higher dimensional information communication. Conventionally, an imaging …