Results 231 to 240 of about 213,021 (351)

A Universal Biomimetic Approach for Making Artificial Antigen‐Presenting Cells for T Cell Activation

open access: yesAdvanced Functional Materials, EarlyView.
This study shows a biomimetic silica microcapsule (SMC) fabrication method under mild conditions for making artificial antigen‐presenting cells (aAPCs). Inspired by marine biomineralization, peptide‐mediated biosilicification enables silica shell formation on emulsion templates. The resulting SMCs possess a core–shell structure, controlled fluorescence
Fei Hou   +5 more
wiley   +1 more source

Differential Compartmentalization of Enzymatic Reactions for Lactate Signaling Across Protocells

open access: yesAdvanced Functional Materials, EarlyView.
Two populations of protocells consisting of giant unilamellar vesicles containing active species and distinct artificial organelles are competent of collective behavior by mimicking production, intercellular communication, and detection of the bioinspired signal molecule lactate. Enzymatic cascade reactions within artificial organelles demonstrate that
Arianna Balestri   +4 more
wiley   +1 more source

Controlled Aggregation of Pyrene‐Based Supramolecular Nanostructures for Light‐Driven Switchable H2 or H2O2 Production

open access: yesAdvanced Functional Materials, EarlyView.
This work reports the self‐assembly of a pyrene derivative into two distinct nanostructures and their application in visible‐light photocatalysis. The two nanostructures exhibit completely different yet complementary photocatalytic activities, promoting either H2 or H2O2 evolution.
Marianna Barbieri   +6 more
wiley   +1 more source

Semi-automatic standardized analysis method to objectively evaluate near-infrared fluorescent dyes in image-guided surgery. [PDF]

open access: yesJ Biomed Opt
Dijkhuis TH   +10 more
europepmc   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

open access: yesAdvanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung   +8 more
wiley   +1 more source

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