On-Orbit Performance of the Helioseismic and Magnetic Imager Instrument onboard the Solar Dynamics Observatory

Kavli Affiliate: Philip H. Scherrer | First 5 Authors: J. Todd Hoeksema, Charles S. Baldner, Rock I. Bush, Jesper Schou, Philip H. Scherrer | Summary: The Helioseismic and Magnetic Imager (HMI) instrument is a major component of NASA’s Solar Dynamics Observatory (SDO) spacecraft. Since beginning normal science operations on 1 May 2010, HMI has operated […]


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Compressive Light Field Reconstructions using Deep Learning

Kavli Affiliate: Alyosha Molnar | First 5 Authors: Mayank Gupta, Arjun Jauhari, Kuldeep Kulkarni, Suren Jayasuriya, Alyosha Molnar | Summary: Light field imaging is limited in its computational processing demands of high sampling for both spatial and angular dimensions. Single-shot light field cameras sacrifice spatial resolution to sample angular viewpoints, typically by multiplexing incoming rays […]


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Computation of a Theoretical Membrane Phase Diagram, and the Role of Phase in Lipid Raft-Mediated Protein Organization

Kavli Affiliate: Barbara Baird | First 5 Authors: Eshan D. Mitra, Samuel C. Whitehead, David Holowka, Barbara Baird, James P. Sethna | Summary: Lipid phase heterogeneity in the plasma membrane is thought to be crucial for many aspects of cell signaling, but the physical basis of participating membrane domains such as "lipid rafts" remains controversial. […]


Continue.. Computation of a Theoretical Membrane Phase Diagram, and the Role of Phase in Lipid Raft-Mediated Protein Organization

Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

Kavli Affiliate: Chris B. Schaffer | First 5 Authors: Mohammad Haft-Javaherian, Linjing Fang, Victorine Muse, Chris B. Schaffer, Nozomi Nishimura | Summary: The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels […]


Continue.. Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models

Acceleration Profiles and Processing Methods for Parabolic Flight

Kavli Affiliate: Maria T. Zuber | First 5 Authors: Christopher E. Carr, Noelle C. Bryan, Kendall N. Saboda, Srinivasa A. Bhattaru, Gary Ruvkun | Summary: Parabolic flights provide cost-effective, time-limited access to "weightless" or reduced gravity conditions experienced in space or on planetary surfaces, e.g. the Moon or Mars. These flights facilitate fundamental research – […]


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Soft self-assembly of Weyl materials for light and sound

Kavli Affiliate: Ulrich Wiesner | First 5 Authors: Michel Fruchart, Seung-Yeol Jeon, Kahyun Hur, Vadim Cheianov, Ulrich Wiesner | Summary: Soft materials can self-assemble into highly structured phases which replicate at the mesoscopic scale the symmetry of atomic crystals. As such, they offer an unparalleled platform to design mesostructured materials for light and sound. Here, […]


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High-speed X-ray imaging spectroscopy system with Zynq SoC for solar observations

Kavli Affiliate: Tadashi Orita | First 5 Authors: Shin-nosuke Ishikawa, Tadayuki Takahashi, Shin Watanabe, Noriyuki Narukage, Satoshi Miyazaki | Summary: We have developed a system combining a back-illuminated Complementary-Metal-Oxide-Semiconductor (CMOS) imaging sensor and Xilinx Zynq System-on-Chip (SoC) device for a soft X-ray (0.5-10 keV) imaging spectroscopy observation of the Sun to investigate the dynamics of […]


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Regularized lattice Boltzmann Multicomponent models for low Capillary and Reynolds microfluidics flows

Kavli Affiliate: David Weitz | First 5 Authors: Andrea Montessori, Marco Lauricella, Michele La Rocca, Sauro Succi, Elad Stolovicki | Summary: We present a regularized version of the color gradient lattice Boltzmann (LB) scheme for the simulation of droplet formation in microfluidic devices of experimental relevance. The regularized version is shown to provide computationally efficient […]


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