Imaging with second-harmonic radiation probes in living tissue

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Fluorescence imaging is an indispensable tool to understand how biological networks operate in the complex environment of the living cell. Small-molecule fluorescent dyes offer many advantages including their high modularity, favorable photophysical proper ...

Ultrasound (US) imaging is currently living a revolution. On the one hand, ultrafast US imaging, a novel way of acquiring and producing US images, has paved the way to several advanced imaging modes, e.g. shear-wave elastography, ultrafast Doppler imaging ...

We introduce an optimization framework for ray and wave optical tomographic volumetric additive manufacturing (TVAM). In TVAM, tomographic patterns are projected with a light modulator onto a photocurable resin from different angular directions. Once an en ...

Magnetic resonance elastography (MRE) is a powerful technique to assess the mechanical properties of living tissue. However, it suffers from reduced sensitivity in regions with short T-2 and T-2* such as in tissue with high concentrations of paramagnetic i ...

We demonstrate the ability to guide high-frequency photoacoustic waves through thick tissue with a water-filled silica-capillary (150 mu m inner diameter and 30 mm long). An optical-resolution photoacoustic image of a 30 mu m diameter absorbing nylon threa ...

Fluorescence microscopy techniques are well established research tools and have proven their use in a large variety of biomedical applications. Microscopic molecular contrast is achieved by imaging fluorescent dyes that bind specifically to a molecule of i ...

Multiparty homomorphic encryption (MHE) enables a group of parties to encrypt data in a way that (i) enables the evaluation of functions directly over its ciphertexts and (ii) enforces a joint cryptographic access-control over the underlying data. By exten ...

Autofluorescence (AF) from bronchial tissue is increasingly used for the endoscopic detection of early bronchial neoplasia. Several imaging systems are commercially available, all detecting the absolute or relative AF intensity and/or spectral contrasts be ...

Robustness and stability of image-reconstruction algorithms have recently come under scrutiny. Their importance to medical imaging cannot be overstated. We review the known results for the topical variational regularization strategies ( ℓ2 and ℓ1 regulariz ...

Glycans play an essential role in numerous physiological and pathological processes of living organisms. Despite their significant biological relevance, glycobiology remains one of the least explored fields of biochemistry. The intrinsic isomeric complexit ...

When exposed to ionising radiation, living tissue can potentially suffer somatic and genetic damage - effects depending mainly on the radiation dose or energy absorbed, the type of radiation, and the type and mass of cells affected. It is well known that l ...

Background A variety of imaging methods are available to obtain kinematic data at an interface, with a widely varying range of spatial and temporal resolution. These methods require a trade-off between imaging rate and resolution. Objective A deep learning ...

Among the medical imaging modalities, ultrasound (US) imaging is one of the safest, most widespread, and least expensive method used in medical diagnosis. In the past decades, several technological advances enabled the advent of ultrafast US imaging, an ac ...

The form and structure of biological tissues define their function. The emergence of tissue morphology during development is one of the wonders of nature. Cells mechanically probe and manipulate their surroundings while constructing structures from the ext ...

In this paper, we demonstrate that the information encoded in one single (sufficiently large) N-body simulation can be used to reproduce arbitrary numbers of halo catalogues, using approximated realizations of dark matter density fields with different init ...

Sub-cellular trace element quantifications of nano-heterogeneities in brain tissues offer unprecedented ways to explore at elemental level the interplay between cellular compartments in neurodegenerative pathologies. We designed a quasi-correlative method ...

Purpose To compare motion tracking by 2 modern methods (fat navigators [FatNavs] and Moir' phase tracking [MPT]) as well as their performance for retrospective correction of very high resolution acquisitions. Methods A direct comparison of FatNavs and MPT ...

Ultrasound contrast agents (UCAs) have opened up immense diagnostic possibilities by combined use of indicator dilution principles and dynamic contrast-enhanced ultrasound (DCE-US) imaging. UCAs are microbubbles encapsulated in a biocompatible shell. With ...

Imaging with second-harmonic radiation probes in living tissue

Chattez avec Graph Search

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SwissVAMyKnife.jl: an open-source package for tomographic volumetric additive manufacturing

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Optical-resolution photoacoustic imaging through thick tissue with a thin capillary as a dual optical-in acoustic-out waveguide

Functional and Structural Imaging with Optical Coherence Microscopy : Principles & Applications

Multiparty Homomorphic Encryption: from Theory to Practice

Autofluorescence bronchoscopy: quantification of inter-patient variations of fluorescence intensity

Stability of Image-Reconstruction Algorithms

Combining ion mobility spectrometry and cryogenic ion spectroscopy with enzymatic digestion/synthesis for the study of N-linked glycans

Development and validation of data sets and Monte Carlo methods for electron/positron transport at low and medium energies

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Mechanical principles of engineering fibrous tissues with programmable shape

One simulation to have them all: performance of the Bias Assignment Method against N-body simulations

Nano-imaging trace elements at organelle levels in substantia nigra overexpressing alpha-synuclein to model Parkinson's disease

Fat navigators and Moire phase tracking comparison for motion estimation and retrospective correction

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling To Machine Learning