Results 131 to 140 of about 85,423 (296)
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
A series of donor‐attached brominated chiral luminescent radicals (CzTTBrM, 2CzTTBrM, and 3CzTTBrM) was synthesized, showing red to near‐infrared (NIR) circularly polarized luminescence (CPL) with exceptionally high PLQY of up to 76% and markedly enhanced CPL brightness (BCPL). Doping into polystyrene microspheres further yields whispering gallery mode
Kazuhiro Nakamura +14 more
wiley +2 more sources
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
RhI dimers with bridging aryl isocyanide and di‐phosphine ligands show NIR‐I or NIR‐II fluorescence/phosphorescence, depending on the ligands and conformational rigidity at the Rh2 core. Rh‐Rh interactions can be tuned by peripheral modification of the aryl isocyanide ligand, resulting in a rigid Rh2 core and improved photophysical properties ...
Vanitha R. Naina +4 more
wiley +2 more sources
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa +3 more
wiley +1 more source
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Decoding Carbon Dot Purity by Nuclear Magnetic Resonance
NMR spectroscopy tracks the removal of molecular and oligomeric impurities in carbon dots, enabling a (semi)quantitative evaluation of their purity through integrated peak analysis. ABSTRACT Carbon dots (CDs) have attracted increasing attention in recent years and have been widely explored in many fields.
Yalei Hu, Alberto Bianco
wiley +2 more sources
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Visual features, numerical descriptors, and controlled textual attributes extracted from smartphone images of Chenpi are integrated by VALIANT, a tailored multimodal framework for simultaneous storage‐age classification and authenticity verification. The workflow distinguishes genuine products from suspicious standard operating procedure mimics while ...
Simon C. K. Chan +5 more
wiley +1 more source
Therapeutic Applications of Stimuli‐Based Release and Engineering of Extracellular Vesicles
This review summarizes the effects of endogenous and exogenous stimuli, their effects on the natural release of extracellular vesicles, as well as their uptake and release. It also gives an overview of stimuli‐responsive EVs and their therapeutic applications. Extracellular vesicles (EVs), nano‐ to microsized lipid bilayer membrane‐bound particles, are
Gloria Kemunto, Kristen Dellinger
wiley +1 more source

