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

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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Imbibition triggered by capillary condensation in nanopores

Kavli Affiliate: Abraham Stroock | First 5 Authors: Olivier Vincent, Bastien Marguet, Abraham Stroock, , | Summary: We study the spatio-temporal dynamics of water uptake by capillary condensation from unsaturated vapor in mesoporous silicon layers (pore radius $r_mathrm{p} simeq 2$ nm), taking advantage of the local changes in optical reflectance as a function of water […]


Continue.. Imbibition triggered by capillary condensation in nanopores

Markov Chains and Unambiguous Automata

Kavli Affiliate: David Muller | First 5 Authors: Christel Baier, Stefan Kiefer, Joachim Klein, David Müller, James Worrell | Summary: Unambiguous automata are nondeterministic automata in which every word has at most one accepting run. In this paper we give a polynomial-time algorithm for model checking discrete-time Markov chains against omega-regular specifications represented as unambiguous […]


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Study of superfluid $^3$He under nanoscale confinement. A new approach to the investigation of superfluid $^3$He films

Kavli Affiliate: Jeevak Parpia | First 5 Authors: Lev Levitin, Robert Bennett, Andrew Casey, Brian Cowan, John Saunders | Summary: We review recent experiments in which superfluid $^3$He has been studied under highly controlled confinement in nanofluidic sample chambers. We discuss the experimental challenges and their resolution. These methods open the way to a systematic […]


Continue.. Study of superfluid $^3$He under nanoscale confinement. A new approach to the investigation of superfluid $^3$He films

Atomic-resolution spectroscopic imaging of ensembles of nanocatalyst particles across the life of a fuel cell

Kavli Affiliate: Lena Fitting Kourkoutis | First 5 Authors: Huolin L. Xin, Julia A. Mundy, Zhongyi Liu, Randi Cabezas, Robert Hovden | Summary: The thousandfold increase in data-collection speed enabled by aberration-corrected optics allows us to overcome an electron microscopy paradox – how to obtain atomic-resolution chemical structure in individual nanoparticles, yet record a statistically […]


Continue.. Atomic-resolution spectroscopic imaging of ensembles of nanocatalyst particles across the life of a fuel cell

Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting

Kavli Affiliate: Barbara Baird | First 5 Authors: Sarah Veatch, Benjamin Machta, Sarah Shelby, Ethan Chiang, David Holowka | Summary: We present an analytical method to quantify clustering in super-resolution localization images of static surfaces in two dimensions. The method also describes how over-counting of labeled molecules contributes to apparent self-clustering and how the effective […]


Continue.. Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting

Finite Phase-separation FRET II: Determination of domain size from simulated data

Kavli Affiliate: Gerald W. Feigenson | First 5 Authors: Frederick A. Heberle, Gerald W. Feigenson, , , | Summary: We have developed a new model to describe FRET efficiency (E FRET) between freely-diffusing membrane probes in phase-separated bilayers (Finite Phase-separation FRET, or FP-FRET), that in principle applies to any system where phase domain dimensions are […]


Continue.. Finite Phase-separation FRET II: Determination of domain size from simulated data

Finite Phase-separation FRET I: A quantitative model valid for bilayer nanodomains

Kavli Affiliate: Gerald W. Feigenson | First 5 Authors: Frederick A. Heberle, Gerald W. Feigenson, , , | Summary: Multicomponent lipid mixtures exhibit complex phase behavior, including coexistence of nanoscopic fluid phases in ternary mixtures mimicking the composition of the outer leaflet of mammalian plasma membrane. The physical mechanisms responsible for the small size of […]


Continue.. Finite Phase-separation FRET I: A quantitative model valid for bilayer nanodomains

Limited Perturbation of a DPPC Bilayer by Fluorescent Lipid Probes: A Molecular Dynamics Study

Kavli Affiliate: Gerald W. Feigenson | First 5 Authors: Frederick A. Heberle, David G. Ackerman, Gerald W. Feigenson, , | Summary: The presence and the properties of lipid bilayer nanometer-scale domains might be important for understanding the membranes of living cells. We used molecular dynamics (MD) simulations to investigate perturbations of a small patch of […]


Continue.. Limited Perturbation of a DPPC Bilayer by Fluorescent Lipid Probes: A Molecular Dynamics Study