Results 31 to 40 of about 45,483 (256)
Recent Progress in NIR-II Contrast Agent for Biological Imaging
Fluorescence imaging technology has gradually become a new and promising tool for in vivo visualization detection. Because it can provide real-time sub-cellular resolution imaging results, it can be widely used in the field of biological detection and ...
Jie Cao +13 more
doaj +1 more source
Progress on Multifunction Enzyme-Activated Organic Fluorescent Probes for Bioimaging
Bioimaging techniques are of increasing importance in clinical and related fields, which also have been successfully applied in the in vivo/in vitro imaging system.
Jie Lian +7 more
doaj +1 more source
The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi +6 more
wiley +1 more source
Near-infrared (NIR) persistent luminescence nanoparticles (PLNPs) have inherent advantages for high-sensitivity bioimaging due to the separation of excitation and emission light.
Lin Liu +8 more
doaj +1 more source
Progress of Luminescent Carbon Dots in Biomedicine Engineering
Carbon nanodots (C-dots), as a new emerging star, have attracted great attention in recent years. Its unique properties have been developed and applied to energy conversion/storage, bioimaging, drug delivery, sensor and other biological related aspects ...
Guangxia Shen, Meixin Hu, Jianrong Qi
doaj +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Rethinking deep learning in bioimaging through a data centric lens
Deep learning has become essential in bioimaging for tasks. By examining data-centric strategies in general AI and revisiting existing deep learning methods in bioimaging, we describe a prototypical “BioData-Centric AI” framework.
Jiajun Cao +13 more
doaj +1 more source
Background: Knowing the needs of the bioimaging community with respect to research data management (RDM) is essential for identifying measures that enable adoption of the FAIR (findable, accessible, interoperable, reusable) principles for microscopy and ...
Stefanie Weidtkamp-Peters +5 more
doaj +1 more source
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
Near-Infrared-II Bioimaging for in Vivo Quantitative Analysis
Near-Infrared-II (NIR-II) bioimaging is a newly emerging visualization modality in real-time investigations of biological processes research. Owning to advances in reducing photon scattering and low tissue autofluorescence levels in NIR-II region (1,000 ...
Sha Yang +4 more
doaj +1 more source

