HAL Portal IOGS (nstitut d'Optique Graduate School)
Not a member yet
12589 research outputs found
Sort by
Intracellular α-synuclein assemblies are sufficient to alter nanoscale diffusion in the striatal extracellular space
No full textInternational audienceα-synucleinopathies progression involves the spread of α-synuclein aggregates through the extracellular space (ECS). Single-particle tracking studies showed that α-synuclein-induced neurodegeneration increases ECS molecular diffusivity. To disentangle the consequences of neuronal loss versus α-synuclein-positive intracellular assemblies formation, we performed near-infrared single-particle tracking to characterise ECS rheology in the striatum of mouse models of α-synucleinopathies. We showed that intracellular α-synuclein assemblies, without neurodegeneration, suffice to alter nanoscale diffusion in the striatal ECS
Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network
No full textInternational audienceAbstract Topic modeling aims to discover latent themes in collections of text documents. It has various applications across fields such as sociology, opinion analysis, and media studies. In such areas, it is essential to have easily interpretable, diverse, and coherent topics. An efficient topic modeling technique should accurately identify flat and hierarchical topics, especially useful in disciplines where topics can be logically arranged into a tree format. In this paper, we propose Community Topic, a novel algorithm that exploits word co-occurrence networks to mine communities and produces topics. We also evaluate the proposed approach using several metrics and compare it with usual baselines, confirming its good performances. Community Topic enables quick identification of flat topics and topic hierarchy, facilitating the on-demand exploration of sub- and super-topics. It also obtains good results on datasets in different languages
Heat transfer modelling in the crossover regime between conduction and radiation
No full textInternational audienc
GTC adaptive optics integration in telescope and first commissioning results
No full textInternational audienc
High flux strontium atom source
No full textInternational audienceWe present a novel cold strontium atom source designed for quantum sensors. We optimized the deceleration process to capture a large velocity class of atoms emitted from an oven and achieved a compact and low-power setup capable of generating a high atomic flux. Our approach involves velocity-dependent transverse capture of atoms using a two-dimensional magneto-optical trap. To enhance the atomic flux, we employ tailored magnetic fields that minimize radial beam expansion and incorporate a cascaded Zeeman-slowing configuration utilizing two optical frequencies. The performance is comparable to that of conventional Zeeman slower sources, and the scheme is applicable to other atomic species. Our results represent a significant advancement towards the deployment of portable and, possibly, space-based cold atom sensors
Clearing spheroids for 3D fluorescent microscopy: combining safe and soft chemicals with deep convolutional neural network
No full textIn life sciences, there are increasing interest in 3D culture models to better reproduce the 3D environment encountered in-vivo. Imaging of such 3D culture models is instrumental for drug discovery, but face several issues before its use becomes widespread. Extensive microscopic investigation of these 3D cell models faces the challenge of light penetration in depth in opaque biological tissues. To overcome this limit, diverse clearing techniques have emerged over the past decades. However, it is not straightforward to choose the best clearing protocols, and assess quantitatively their clearing efficiency. Focusing on spheroids, we propose a combination of fast and cost-effective clearing procedure for such medium-sized samples. A generic method with local contrast metrics and deep convolutional neural network-based segmentation of nuclei is proposed to quantify the efficiency of clearing. We challenged this method by testing the possibility to transfer segmentation knowledge from a clearing protocol to another. The later results support the pertinence of training deep learning algorithms on cleared samples to further use the segmentation pipeline on non-cleared ones. This second step of the protocol gives access to digital clearing possibilities applicable to live and high-throughput optical imaging
Correction: Understanding mono- and bi-metallic Au and Ni nanoparticle responses to fast heating
No full textInternational audienceCorrection for ‘Understanding mono- and bi-metallic Au and Ni nanoparticle responses to fast heating’ by Tatiana E. Itina et al., Nanoscale Adv., 2024, https://doi.org/10.1039/d4na00634h
Adaptive optics telemetry standard. Design and specification of a novel data exchange format
No full textInternational audienceContext. The amount of adaptive optics (AO) telemetry generated by visible/near-infrared ground-based observatories is ever greater, leading to a growing need for a standardised data exchange format to support performance analysis, AO research, and development activities that involve large-scale telemetry mining, processing, and curation. Aims: This paper introduces the Adaptive Optics Telemetry (AOT) data exchange format as a standard for sharing AO telemetry from visible/infrared ground-based observatories. AOT is based on the flexible image transport system (FITS) and aims to provide unambiguous and consistent data access across various systems and configurations, including natural and single- or multiple-laser guide-star AO systems. Methods: We designed AOT with a focus on two key use cases: atmospheric turbulence parameter estimation and point-spread function reconstruction. We prototyped and tested the design using existing AO telemetry datasets from multiple systems: single conjugate with natural and laser guide stars, tomographic systems with multi-channel wavefront sensors, and single- and multi-wavefront correctors in systems featuring either a Shack-Hartmann or Pyramid as the main wavefront sensor. Results: The AOT file structure has been thoroughly defined, with specified data fields, descriptions, data types, units, and expected dimensions. To support this format, we have developed a Python package that enables the data conversion, reading, writing, and exploration of AOT files; it has been made publicly available and is compatible with a general-purpose Python package manager. We have demonstrated the flexibility of the AOT format by packaging data from five different instruments, installed on different telescopes
