Bridging live-cell imaging and next-generation cancer treatment

M Alieva, AKL Wezenaar, EJ Wehrens… - Nature Reviews Cancer, 2023 - nature.com
By providing spatial, molecular and morphological data over time, live-cell imaging can
provide a deeper understanding of the cellular and signalling events that determine cancer …

Deep 3D histology powered by tissue clearing, omics and AI

A Ertürk - Nature Methods, 2024 - nature.com
To comprehensively understand tissue and organism physiology and pathophysiology, it is
essential to create complete three-dimensional (3D) cellular maps. These maps require …

Deep self-learning enables fast, high-fidelity isotropic resolution restoration for volumetric fluorescence microscopy

K Ning, B Lu, X Wang, X Zhang, S Nie, T Jiang… - Light: Science & …, 2023 - nature.com
One intrinsic yet critical issue that troubles the field of fluorescence microscopy ever since its
introduction is the unmatched resolution in the lateral and axial directions (ie, resolution …

Multi-focus light-field microscopy for high-speed large-volume imaging

Y Zhang, Y Wang, M Wang, Y Guo, X Li, Y Chen, Z Lu… - PhotoniX, 2022 - Springer
High-speed visualization of three-dimensional (3D) processes across a large field of view
with cellular resolution is essential for understanding living systems. Light-field microscopy …

[HTML][HTML] Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue

Z Zhao, Y Zhou, B Liu, J He, J Zhao, Y Cai, J Fan, X Li… - Cell, 2023 - cell.com
Holistic understanding of physio-pathological processes requires noninvasive 3D imaging in
deep tissue across multiple spatial and temporal scales to link diverse transient subcellular …

CellSighter: a neural network to classify cells in highly multiplexed images

Y Amitay, Y Bussi, B Feinstein, S Bagon, I Milo… - Nature …, 2023 - nature.com
Multiplexed imaging enables measurement of multiple proteins in situ, offering an
unprecedented opportunity to chart various cell types and states in tissues. However, cell …

Iterative denoiser and noise estimator for self-supervised image denoising

Y Zou, C Yan, Y Fu - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
With the emergence of powerful deep learning tools, more and more effective deep
denoisers have advanced the field of image denoising. However, the huge progress made …

Recent advances in carbon dots-based nanoplatforms: Physicochemical properties and biomedical applications

S Rui, L Song, J Lan, D Wang, S Feng, J Lu… - Chemical Engineering …, 2023 - Elsevier
Carbon dots (CDs) are a new type of fluorescent carbon nanomaterials with highly
carbonized cores and surface groups. The outstanding properties of CDs, such as excellent …

Statistically unbiased prediction enables accurate denoising of voltage imaging data

M Eom, S Han, P Park, G Kim, ES Cho, J Sim, KH Lee… - Nature …, 2023 - nature.com
Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal
information in imaging data), a self-supervised learning method for removing Poisson …

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 …