AIMC Topic: HeLa Cells

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Polymer-Functionalized Liposomes as Universal Nanocarriers for Drug Delivery: Single Particle Insights on Size-Dependent Performance and Intracellular Behavior.

ACS applied materials & interfaces
Nanomedicine requires smart delivery systems that are precise, robust, and universal. While liposomes are established vehicles in drug delivery, their full potential is challenged by limited stability, leakage, insufficient response, and limited insi...

High-content high-resolution microscopy and deep learning-assisted analysis reveals host and bacterial heterogeneity during infection.

eLife
is a Gram-negative bacterial pathogen and causative agent of bacillary dysentery. is closely related to but harbours a virulence plasmid that encodes a type III secretion system (T3SS) required for host cell invasion. Widely recognised as a paradi...

Endoplasmic reticulum junctions serve as a platform for endosome-lysosome interactions through their stop-and-go motion switching.

Science advances
Endosomes and lysosomes (collectively termed "endolysosomes") traverse the cytoplasm in a stop-and-go manner, but the mechanisms underlying this motion remain poorly understood. Using deep learning-based image analyses, including particle tracking, s...

Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics.

Nature communications
Long-term and high-spatiotemporal-resolution 3D imaging of living cells remains an unmet challenge for super-resolution microscopy, owing to the noticeable phototoxicity and limited scanning speed. While emerging light-field microscopy can mitigate t...

Nondisruptive inducible labeling of ER-membrane contact sites using the Lamin B receptor.

PLoS biology
Membrane contact sites (MCSs) are areas of close proximity between organelles that allow the exchange of material, among other roles. The endoplasmic reticulum (ER) has MCSs with a variety of organelles in the cell. MCSs are dynamic, responding to ch...

Antifouling Capture and Dual-Targeting Recognition-Induced Signal Amplification for Triple-Mode Detection and Identification of Circulating Tumor Cells.

Analytical chemistry
Circulating tumor cells (CTCs) are promising biomarkers for cancer diagnosis, while detecting CTCs in clinical samples is still challenging due to the scarcity and heterogeneity of CTCs. Herein, a triple-mode sensing platform based on an antifouling ...

An AI-assisted fluorescence microscopic system for screening mitophagy inducers by simultaneous analysis of mitophagic intermediates.

Nature communications
Mitophagy, the selective autophagic elimination of mitochondria, is essential for maintaining mitochondrial quality and cell homeostasis. Impairment of mitophagy flux, a process involving multiple sequential intermediates, is implicated in the onset ...

Machine learning modeling and response surface methodology driven antioxidant and anticancer activities of chitosan nanoparticle-mediated extracts of Bacopa monnieri.

International journal of biological macromolecules
This study investigates the potential of chitosan nanoparticles (CNPs) in enhancing the bioavailability and efficacy of Bacopa monnieri extracts, known for their neuroprotective, antioxidant, and anticancer properties. Different concentrations of CNP...

Label-Free Exosomal SERS Detection Assisted by Machine Learning for Accurately Discriminating Cell Cycle Stages and Revealing the Molecular Mechanisms during the Mitotic Process.

Analytical chemistry
Cell cycle analysis is crucial for disease diagnosis and treatment, especially for investigating cell heterogeneity and regulating cell behaviors. Exosomes are highly appealing as noninvasive biomarkers for monitoring real-time changes in the cell cy...

UNET-FLIM: A Deep Learning-Based Lifetime Determination Method Facilitating Real-Time Monitoring of Rapid Lysosomal pH Variations in Living Cells.

Analytical chemistry
Lifetime determination plays a crucial role in fluorescence lifetime imaging microscopy (FLIM). We introduce UNET-FLIM, a deep learning architecture based on a one-dimensional U-net, specifically designed for lifetime determination. UNET-FLIM focuses...