In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry

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The transition from planar to three-dimensional (3D) magnetic nanostructures represents a significant advancement in both fundamental research and practical applications, offering vast potential for next-generation technologies like ultrahigh-density stora ...

Fluorescent probes are an indispensable tool in the realm of bioimaging technologies, providing valuable insights into the assessment of biomaterial integrity and structural properties. However, incorporating fluorophores into scaffolds made from melt elec ...

Significance: Fluorescence guidance is used clinically by surgeons to visualize anatomical and/or physiological phenomena in the surgical field that are difficult or impossible to detect by the naked eye. Such phenomena include tissue perfusion or molecula ...

Data augmentation is vital in deep learning for enhancing model robustness by artificially expanding training datasets. However, advanced methods like CutMix blend images and assign labels based on pixel ratios, often introducing label noise by neglecting ...

Energy dispersive x-ray (EDX) spectrum imaging yields compositional information with a spatial resolution down to the atomic level. However, experimental limitations often produce extremely sparse and noisy EDX spectra. Under such conditions, every detecte ...

The optical domain presents potential avenues for enhancing both computing and communication due to its inherent properties of bandwidth, parallelism, and energy efficiency. This research focuses on harnessing 3-Dimensional (3D) diffractive optics for nove ...

The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. The prevailing challenge in live-cell fluorescence microscopy is capturing intra-cellular dynamics while preservi ...

Recent progress in computer vision has been driven by a simple yet transformative observation: the potential of 30-year-old neural networks can be unlocked by massively scaling their parameters and the amount of human-labeled training data. This breakthrou ...

Purpose: Although clinical 7T MRI offers various advantages compared to lower field strengths, achieving spatially uniform flip angle distributions remains a challenge. Sampling Perfection with Application optimized Contrast using different flip angle Evol ...

Fundamental properties of light unavoidably impose features on images collected using fluorescence microscopes. Accounting for these features is often critical in quantitatively interpreting microscopy images, especially those gathering information at scal ...

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

Low-light photography produces images with low signal-to-noise ratios due to limited photons. In such conditions, common approximations like the Gaussian noise model fall short, and many denoising techniques fail to remove noise effectively. Although deep- ...

Electrically connected and plasmonically enhanced molecular junctions combine the optical functionalities of high field confinement and enhancement (cavity function), and of high radiative efficiency (antenna function) with the electrical functionalities o ...

The visualization and manipulation of proteins in live cells are critical for studying complex biological processes. Self-labeling proteins do so by enabling the specific and covalent attachment of synthetic probes, offering unprecedented flexibility in th ...

The Poisson cluster rainfall generation model has been underutilized in urban hydrological simulations due to challenges in reproducing fine-scale extreme precipitation. This study addresses this issue by comprehensively validating four variants of Poisson ...

As the fundamental machinery orchestrating cellular functions, proteins influence the state of every cell profoundly. As cells exhibit significant variations from one to another, analyzing the proteome on a single-cell level is imperative to unravel their ...

Genome-wide chromatin conformation capture assays provide formidable insights into the spatial organization of genomes. However, due to the complexity of the data structure, their integration in multi-omics workflows remains challenging. We present data st ...

The diversity of experimentally observed nonlinear coherent and partially coherent optical structures, including breathing, zero-dispersion, and switching wave states in driven optical microresonators, is mainly provided by cavity dispersion engineering. R ...

The stiffness of cells and of their nuclei is a biomarker of several pathological conditions. Current measurement methods rely on invasive physical probes that yield one or two stiffness values for the whole cell. However, the internal distribution of cell ...

The invention relates to a fluorometer system for analyzing fluid samples comprising a plurality of particles capable of being labeled with at least two fluorescent labels, in particular two distinct fluorophores. The invention also relates to a fluorescen ...

In Silico Brain Imaging Physically-plausible Methods for Visualizing Neocortical Microcircuitry

Chattez avec Graph Search

2025 roadmap on 3D nanomagnetism

[n]Cycloparaphenylenes as Compatible Fluorophores for Melt Electrowriting

Subsurface fluorescence time-of-flight imaging using a large-format single-photon avalanche diode sensor for tumor depth assessment

SaliencyMix plus : Noise-Minimized Image Mixing Method With Saliency Map in Data Augmentation

A Multiscale Bayesian Approach to Quantification and Denoising of Energy-dispersive X-ray Data

3D diffractive optics for linear interconnects and nonlinear processing

Live-cell imaging powered by computation

Exploiting Representation Similarities in Self-Supervised Learning for Vision Tasks

Individually optimized dynamic parallel transmit pulses for 3D high‐resolution SPACE imaging at 7T

Fluorescence microscopy: A statistics-optics perspective

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Dark Noise Diffusion: Noise Synthesis for Low-Light Image Denoising

Light Emission and Conductance Fluctuations in Electrically Driven and Plasmonically Enhanced Molecular Junctions

Exploiting Covalent Chemical Labeling with Self-Labeling Proteins

Context-Specific Selection of Poisson cluster rainfall models for accurate urban hydrological simulations

Development of tools and methods for protein identification: From single molecules to in vivo applications

Orchestrating chromosome conformation capture analysis with Bioconductor

Coherent Dissipative Structures in Arbitrary Dispersion-Engineered Gallium Phosphide Fabry-Perot Resonators

Estimation of Stiffness Maps in Deforming Cells Through Optical Flow With Bounded Curvature

Fluorometer system, fluorescene analysis method, and use thereof