AI Article Synopsis

Article Abstract

An aggregation-enhanced emission mitochondrial probe, LIQ-3, was developed for ultrafast labeling within one minute and for distinguishing cancer cells from normal cells. Furthermore, the probe revealed high-fidelity tracking of mitochondria in a three-dimensional localization with advantages that include a specific targeting capacity and a high signal-to-noise ratio.

Download full-text PDF

Source
http://dx.doi.org/10.1039/c9cc07775hDOI Listing

Publication Analysis

Top Keywords

ultrafast labeling
8
cancer cells
8
aggregation-enhanced emission
8
labeling high-fidelity
4
high-fidelity imaging
4
imaging mitochondria
4
mitochondria cancer
4
cells aggregation-enhanced
4
emission fluorescent
4
fluorescent probe
4

Similar Publications

Distinct Fermi Resonance Patterns of Weak Coupling in 2D-IR Spectra of 5-Cyanoindole Revealed by Isotope Labeling.

J Phys Chem B

January 2025

Center for Ultrafast Science and Technology, School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Fermi resonance is a common phenomenon, and a hidden caveat exists in the applications of infrared probes, causing spectral complication and shorter vibrational lifetime. In this work, using the cyanotryptophan (CNTrp) side chain model compound 5-cyanoindole (CN-5CNI), we performed Fourier transform infrared spectroscopy (FTIR) and two-dimensional infrared (2D-IR) spectroscopy on unlabeled CN-5CNI and its isotopically labeled substituents (CN-5CNI, CN-5CNI, CN-5CNI) and demonstrated the existence of Fermi resonance in 5CNI. By constructing the Hamiltonian and simulating 2D-IR spectra, we show that the distinct Fermi resonance 2D-IR patterns in various isotope substituents are determined by the quantum mixing consequences at the = 1 state, as well as the = 2 state, where the Fermi coupling and anharmonicity play a crucial role.

View Article and Find Full Text PDF

INSPIRE: Single-beam probed complementary vibrational bioimaging.

Sci Adv

December 2024

Zhejiang Key Laboratory of Micro-nano Quantum Chips and Quantum Control, School of Physics, Zhejiang University, Hangzhou 310027, China.

Molecular spectroscopy provides intrinsic contrast for in situ chemical imaging, linking the physiochemical properties of biomolecules to the functions of living systems. While stimulated Raman imaging has found successes in deciphering biological machinery, many vibrational modes are Raman inactive or weak, limiting the broader impact of the technique. It can potentially be mitigated by the spectral complementarity from infrared (IR) spectroscopy.

View Article and Find Full Text PDF

Understanding protein adsorption on the surface of nanoparticles (NPs) is crucial for determining their behavior in biological environments. Early research in this field faced challenges in producing high-quality NPs. Advancements in NP fabrication now allow for precise modifications of specific parameters, such as zeta potential.

View Article and Find Full Text PDF

Sulfur dioxide (SO) is widely used in food processing to extend the shelf life of food. However, excessive intake of SO and its derivatives (HSO and SO) can cause oxidative damage to the body, and result in several diseases. How to construct probes for rapid real-time detection of HSO in the field is beneficial to the developmental needs of practical applications, but it is also very challenging.

View Article and Find Full Text PDF

This study explores the application of machine learning techniques for detecting and tracking plasma filaments around the boundary of magnetically confined tokamak plasmas. Plasma filaments, also called blobs, are responsible for enhanced turbulent transport across magnetic field lines, and their accurate characterization is crucial for optimizing the performance of magnetic fusion devices. We present a novel approach that combines machine learning methods applied to data obtained from ultra-fast cameras, including YOLO (You Only Look Once) for object detection, semantic segmentation, and specific tracking methods.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!