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Bridging live-cell imaging and next-generation cancer treatment
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 …
provide a deeper understanding of the cellular and signalling events that determine cancer …
Deep 3D histology powered by tissue clearing, omics and AI
To comprehensively understand tissue and organism physiology and pathophysiology, it is
essential to create complete three-dimensional (3D) cellular maps. These maps require …
essential to create complete three-dimensional (3D) cellular maps. These maps require …
CellSighter: a neural network to classify cells in highly multiplexed images
Multiplexed imaging enables measurement of multiple proteins in situ, offering an
unprecedented opportunity to chart various cell types and states in tissues. However, cell …
unprecedented opportunity to chart various cell types and states in tissues. However, cell …
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 …
carbonized cores and surface groups. The outstanding properties of CDs, such as excellent …
[HTML][HTML] Two-photon synthetic aperture microscopy for minimally invasive fast 3D imaging of native subcellular behaviors in deep tissue
Holistic understanding of physio-pathological processes requires noninvasive 3D imaging in
deep tissue across multiple spatial and temporal scales to link diverse transient subcellular …
deep tissue across multiple spatial and temporal scales to link diverse transient subcellular …
Multiphoton fluorescence microscopy for in vivo imaging
Multiphoton fluorescence microscopy (MPFM) has been a game-changer for optical
imaging, particularly for studying biological tissues deep within living organisms. MPFM …
imaging, particularly for studying biological tissues deep within living organisms. MPFM …
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 …
introduction is the unmatched resolution in the lateral and axial directions (ie, resolution …
Zero-shot learning enables instant denoising and super-resolution in optical fluorescence microscopy
Computational super-resolution methods, including conventional analytical algorithms and
deep learning models, have substantially improved optical microscopy. Among them …
deep learning models, have substantially improved optical microscopy. Among them …
Multi-focus light-field microscopy for high-speed large-volume imaging
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 …
with cellular resolution is essential for understanding living systems. Light-field microscopy …
Self-supervised denoising for multimodal structured illumination microscopy enables long-term super-resolution live-cell imaging
Detection noise significantly degrades the quality of structured illumination microscopy (SIM)
images, especially under low-light conditions. Although supervised learning based …
images, especially under low-light conditions. Although supervised learning based …