RESPAN: A Deep Learning Pipeline for Accurate and Automated Restoration, Segmentation, and Quantification of Dendritic Spines

Kavli Affiliate: Franck Polleux | Authors: Sergio B. Garcia, Alexa P. Schlotter, Daniela Pereira, Aleksandra J Recupero, Franck Polleux and Luke A Hammond | Summary: Quantification of dendritic spines is essential for studying synaptic connectivity, yet most current approaches require manual adjustments or the combination of multiple software tools for optimal results. Here, we present […]


Continue.. RESPAN: A Deep Learning Pipeline for Accurate and Automated Restoration, Segmentation, and Quantification of Dendritic Spines

The X-ray Integral Field Unit at the end of the Athena reformulation phase

Kavli Affiliate: Kent Irwin | First 5 Authors: Philippe Peille, Didier Barret, Edoardo Cucchetti, Vincent Albouys, Luigi Piro | Summary: The Athena mission entered a redefinition phase in July 2022, driven by the imperative to reduce the mission cost at completion for the European Space Agency below an acceptable target, while maintaining the flagship nature […]


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Enabling High-Bandwidth Coherent Modulation Through Scalable Lithium Niobate Resonant Devices

Kavli Affiliate: John E. Bowers | First 5 Authors: Sadra Rahimi Kari, Paolo Pintus, John E. Bowers, Matt Robbins, Nathan Youngblood | Summary: We present a compact, resonant-based coherent modulator on a thin-film lithium niobate (TFLN) platform, addressing the growing demand for high-speed, energy-efficient modulators in modern telecommunications. The design incorporates Mach-Zehnder Interferometers (MZIs) with […]


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FuncGenFoil: Airfoil Generation and Editing Model in Function Space

Kavli Affiliate: Jing Wang | First 5 Authors: Jinouwen Zhang, Junjie Ren, Aobo Yang, Yan Lu, Lu Chen | Summary: Aircraft manufacturing is the jewel in the crown of industry, among which generating high-fidelity airfoil geometries with controllable and editable representations remains a fundamental challenge. While existing deep-learning-based methods rely on predefined parametric function families, […]


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FEASTS Combined with Interferometry. III. The Low-column-density HI Around M51 and Possibility of Turbulent-mixing Gas Accretion

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xuchen Lin, Jing Wang, Lister Staveley-Smith, Suoqing Ji, Dong Yang | Summary: With a new joint-deconvolution pipeline, we combine the single-dish and interferometric atomic hydrogen (HI) data of M51 observed by the FAST (FEASTS program) and VLA (THINGS). The product data cube has a typical line […]


Continue.. FEASTS Combined with Interferometry. III. The Low-column-density HI Around M51 and Possibility of Turbulent-mixing Gas Accretion