Multimodal Nanoplasmonic and Fluorescence Imaging for Simultaneous Monitoring of Single-Cell Secretory and Intracellular Dynamics

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Dataset needed to reproduce the results in the manuscript by "Generative Approaches to Kinetic Parameter Inference in Metabolic Networks via Latent Space Exploration" by S. Choudhury et al. (under review, a preprint available at https://www.biorxiv.org/con ...

Quantum ghost imaging can be an important tool in making optical measurements. One of the most useful aspects of ghost imaging is the unique ability to correlate two sets of independently collected information. We aim to use the principles of ghost imaging ...

Three-dimensional organoid culture technologies have revolutionized cancer research by allowing for more realistic and scalable reproductions of both tumour and microenvironmental structures 1-3 . This has enabled better modelling of low-complexity cancer ...

Investigating the dynamic activities of protein expression and signaling in living organisms is a crucial focus of intense research aimed at elucidating the processes that underlie disease progression and improving treatments and drug development. Resolvin ...

We report a new approach to controllable thermal stimulation of a single living cell and its compartments. The technique is based on the use of a single polycrystalline diamond particle containing silicon-vacancy (SiV) color centers. Due to the presence of ...

Membrane fusion is essential for the basal functionality of eukaryotic cells. In physiological conditions, fusion events are regulated by a wide range of specialized proteins, operating with finely tuned local lipid composition and ionic environment. Fusog ...

Pancreatic cancer cells with limited access to free amino acids can grow by scavenging extracellular protein. In a murine model of pancreatic cancer, we performed a genome-wide CRISPR screen for genes required for scavenging-dependent growth. The screen id ...

The sharp increase in obesity prevalence worldwide is mainly attributable to changes in physical activity and eating behavior but the metabolic and clinical impacts of these obesogenic conditions vary between sexes and genetic backgrounds. This warrants pe ...

The metabolic activity of living organisms results in cellular motion on a nanometric scale that can be efficiently detected by micro- and nano- fabricated sensors. Quartz crystal microbalance and atomic force microscopy (AFM) inspired techniques have rece ...

In this work, we demonstrate theoretically and experimentally the ability to classify and reconstruct subwavelength acoustic images from far field measurements using a machine learning approach, combined with a locally resonant metamaterial lens placed in ...

Tissue organization is often characterized by specific patterns of cell morphology. How such patterns emerge in developing tissues is a fundamental open question. Here, we investigate the emergence of tissue-scale patterns of cell shape and mechanical tiss ...

The cell types affected by biological perturbations in complex tissues are uncovered by single-cell analysis. ...

Multimodal Nanoplasmonic and Fluorescence Imaging for Simultaneous Monitoring of Single-Cell Secretory and Intracellular Dynamics

Chattez avec Graph Search

Dataset - Generative Approaches to Kinetic Parameter Inference in Metabolic Networks via Latent Space Exploration

Ghost imaging using two SPAD array detectors: a parameter study towards the realization of a 3D quantum microscope

Spatiotemporally resolved colorectal oncogenesis in mini-colons ex vivo

Label-free plasmonic microarray for multiplexed analysis of cells and tumor organoids

Nanoscale thermal control of a single living cell enabled by diamond heater-thermometer

Cholesterol-Containing Liposomes Decorated With Au Nanoparticles as Minimal Tunable Fusion Machinery

GCN2 adapts protein synthesis to scavenging-dependent growth

Genetic background and sex control the outcome of high-fat diet feeding in mice

Nanomechanical bio-sensing for fast and reliable detection of viability and susceptibility of microorganisms

Subwavelength Acoustic Imaging in Far Field by Combining Metamaterials and Deep Learning

Self-organized patterning of cell morphology via mechanosensitive feedback

Cell type prioritization in single-cell data