An adaptive non-raster scanning method in atomic force microscopy for simple sample shapes

It is a significant challenge to reduce the scanning time in atomic force microscopy while retaining imaging quality. In this paper, a novel non-raster scanning method for high-speed imaging is presented. The method proposed here is developed for a specimen with the simple shape of a cell. The image is obtained by scanning the boundary of the specimen at successively increasing heights, creating a set of contours. The scanning speed is increased by employing a combined prediction algorithm, using a weighted prediction from the contours scanned earlier, and from the currently scanned contour. In addition, an adaptive change in the height step after each contour scan is suggested. A rigorous simulation test bed recreates the x-y specimen stage dynamics and the cantilever height control dynamics, so that a detailed parametric comparison of the scanning algorithms is possible. The data from different scanning algorithms are compared after the application of an image interpolation algorithm (the Delaunay interpolation algorithm), which can also run on-line.We would like to acknowledge the support of the Engineering and Physical Sciences Research Council (EPSRC) (grant nos. EP/I034882/1 & EP/I034831/1)

Custom optimization algorithms for efficient hardware implementation

The focus is on real-time optimal decision making with application in advanced control systems. These computationally intensive schemes, which involve the repeated solution of (convex) optimization problems within a sampling interval, require more efficient computational methods than currently available for extending their application to highly dynamical systems and setups with resource-constrained embedded computing platforms. A range of techniques are proposed to exploit synergies between digital hardware, numerical analysis and algorithm design. These techniques build on top of parameterisable hardware code generation tools that generate VHDL code describing custom computing architectures for interior-point methods and a range of first-order constrained optimization methods. Since memory limitations are often important in embedded implementations we develop a custom storage scheme for KKT matrices arising in interior-point methods for control, which reduces memory requirements significantly and prevents I/O bandwidth limitations from affecting the performance in our implementations. To take advantage of the trend towards parallel computing architectures and to exploit the special characteristics of our custom architectures we propose several high-level parallel optimal control schemes that can reduce computation time. A novel optimization formulation was devised for reducing the computational effort in solving certain problems independent of the computing platform used. In order to be able to solve optimization problems in fixed-point arithmetic, which is significantly more resource-efficient than floating-point, tailored linear algebra algorithms were developed for solving the linear systems that form the computational bottleneck in many optimization methods. These methods come with guarantees for reliable operation. We also provide finite-precision error analysis for fixed-point implementations of first-order methods that can be used to minimize the use of resources while meeting accuracy specifications. The suggested techniques are demonstrated on several practical examples, including a hardware-in-the-loop setup for optimization-based control of a large airliner.Open Acces

Membrane Tension Orchestrates Rear Retraction in Matrix-Directed Cell Migration

In development, wound healing, and cancer metastasis, vertebrate cells move through 3D interstitial matrix, responding to chemical and physical guidance cues. Protrusion at the cell front has been extensively studied, but the retraction phase of the migration cycle is not well understood. Here, we show that fast-moving cells guided by matrix cues establish positive feedback control of rear retraction by sensing membrane tension. We reveal a mechanism of rear retraction in 3D matrix and durotaxis controlled by caveolae, which form in response to low membrane tension at the cell rear. Caveolae activate RhoA-ROCK1/PKN2 signaling via the RhoA guanidine nucleotide exchange factor (GEF) Ect2 to control local F-actin organization and contractility in this subcellular region and promote translocation of the cell rear. A positive feedback loop between cytoskeletal signaling and membrane tension leads to rapid retraction to complete the migration cycle in fast-moving cells, providing directional memory to drive persistent cell migration in complex matrices. © 2019 The AuthorsCell migration through 3D matrix is critical to developmental and disease processes, but the mechanisms that control rear retraction are poorly understood. Hetmanski et al. show that differential membrane tension allows caveolae to form at the rear of migrating cells and activate the contractile actin cytoskeleton to promote rapid retraction. © 2019 The Author

Membrane Tension Orchestrates Rear Retraction in Matrix-Directed Cell Migration.

In development, wound healing, and cancer metastasis, vertebrate cells move through 3D interstitial matrix, responding to chemical and physical guidance cues. Protrusion at the cell front has been extensively studied, but the retraction phase of the migration cycle is not well understood. Here, we show that fast-moving cells guided by matrix cues establish positive feedback control of rear retraction by sensing membrane tension. We reveal a mechanism of rear retraction in 3D matrix and durotaxis controlled by caveolae, which form in response to low membrane tension at the cell rear. Caveolae activate RhoA-ROCK1/PKN2 signaling via the RhoA guanidine nucleotide exchange factor (GEF) Ect2 to control local F-actin organization and contractility in this subcellular region and promote translocation of the cell rear. A positive feedback loop between cytoskeletal signaling and membrane tension leads to rapid retraction to complete the migration cycle in fast-moving cells, providing directional memory to drive persistent cell migration in complex matrices

Accelerating development of suspension pressurized metered dose inhaler formulations: innovative techniques to evaluate particle stability

This thesis presents several innovative techniques to rapidly evaluate particle stability in suspension-based pressurized metered dose inhalers (pMDIs). Chapter 1 reviews techniques available to evaluate particle stability in pMDIs, discussing categories such as particle properties, suspension quality, polymorphism, and long term stability. Emerging techniques such as Liquid Colloidal Probe Microscopy (CPM), Nano X-ray Computer Tomography (NanoXCT), and Pressurized Isothermal Microcalorimetry possess the potential for accelerating pMDI formulation and are developed through the work embodied within this thesis. Chapters 2, 3, and 4 discuss the improvement and application of liquid CPM to evaluate nano-scale interactions between particles of various porosities in a model propellant. Particle porosity/morphology was found to have a significant effect on these interactions; however, direct measurement of internal particle architecture can be challenging. Thus, in chapter 5, a novel technique using NanoXCT was developed to visualize and quantify the internal porosity of inhalable sized particles with a resolution of 50 nm. It is necessary to control morphology through various manufacturing processes such as freeze and spray drying, since these processes can affect particle physical stability in propellant; thus, in chapter 6 an innovative technique using isothermal microcalorimetry was developed to directly evaluate particle stability in actual pMDI formulations. The versatility of the technique is further demonstrated in Chapter 7, through the evaluation of various other pMDI particle parameters such as amorphicity, excipient compatibility, and moisture ingress

Accelerating development of suspension pressurized metered dose inhaler formulations: innovative techniques to evaluate particle stability

This thesis presents several innovative techniques to rapidly evaluate particle stability in suspension-based pressurized metered dose inhalers (pMDIs). Chapter 1 reviews techniques available to evaluate particle stability in pMDIs, discussing categories such as particle properties, suspension quality, polymorphism, and long term stability. Emerging techniques such as Liquid Colloidal Probe Microscopy (CPM), Nano X-ray Computer Tomography (NanoXCT), and Pressurized Isothermal Microcalorimetry possess the potential for accelerating pMDI formulation and are developed through the work embodied within this thesis. Chapters 2, 3, and 4 discuss the improvement and application of liquid CPM to evaluate nano-scale interactions between particles of various porosities in a model propellant. Particle porosity/morphology was found to have a significant effect on these interactions; however, direct measurement of internal particle architecture can be challenging. Thus, in chapter 5, a novel technique using NanoXCT was developed to visualize and quantify the internal porosity of inhalable sized particles with a resolution of 50 nm. It is necessary to control morphology through various manufacturing processes such as freeze and spray drying, since these processes can affect particle physical stability in propellant; thus, in chapter 6 an innovative technique using isothermal microcalorimetry was developed to directly evaluate particle stability in actual pMDI formulations. The versatility of the technique is further demonstrated in Chapter 7, through the evaluation of various other pMDI particle parameters such as amorphicity, excipient compatibility, and moisture ingress

Modeling friction: From nanoscale to mesoscale

The physics of sliding friction is gaining impulse from nanoscale and mesoscale experiments, simulations, and theoretical modeling. This Colloquium reviews some recent developments in modeling and in atomistic simulation of friction, covering open-ended directions, unconventional nanofrictional systems, and unsolved problems.Comment: 26 pages, 14 figures, Rev. Mod. Phys. Colloquiu

Modeling and simulation in tribology across scales: An overview

This review summarizes recent advances in the area of tribology based on the outcome of a Lorentz Center workshop surveying various physical, chemical and mechanical phenomena across scales. Among the main themes discussed were those of rough surface representations, the breakdown of continuum theories at the nano- and micro-scales, as well as multiscale and multiphysics aspects for analytical and computational models relevant to applications spanning a variety of sectors, from automotive to biotribology and nanotechnology. Significant effort is still required to account for complementary nonlinear effects of plasticity, adhesion, friction, wear, lubrication and surface chemistry in tribological models. For each topic, we propose some research directions