Autonomous illumination control for localization microscopy

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Correlative light and electron microscopy (CLEM) combines light microscopy, for identifying a target via genetic labels, dyes, antibodies and morphological features, with electron microscopy, for analyzing high-resolution subcellular ultrastructures. Here, ...

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This paper introduces a novel method for data-driven robust control of nonlinear systems based on the Koopman operator, utilizing Integral Quadratic Constraints (IQCs). The Koopman operator theory facilitates the linear representation of nonlinear system d ...

This paper proposes a data-driven control design method for nonlinear systems that builds upon the Koopman operator framework. In particular, the Koopman operator is used to lift the nonlinear dynamics to a higher-dimensional space where the so-called obse ...

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We propose a model order reduction technique to accurately approximate the behavior of multi-component systems without any a-priori knowledge of the coupled model. In the offline phase, we construct independent surrogate models by solving the local problem ...

Technology supporting meditation is a multimillion-dollar market that continues to grow. There is also strong academic interest to understand and improve the impact technology can have for the user experience of practitioners. However, little work investig ...

Polo-like kinase (Plk4) is a serine/threonine-proteinkinase thatis essential for biogenesis of the centriole organelle and is enrichedat centrioles. Herein, we introduce Cen-TCO, a chemical probe basedon the Plk4 inhibitor centrinone, to image Plk4 and cen ...

The progress towards intelligent systems and digitalization relies heavily on the use of automation technology. However, the growing diversity of control objects presents significant challenges for traditional control approaches, as they are highly depende ...

We present a robust model predictive control (MPC) framework for linear systems facing bounded parametric uncertainty and bounded disturbances. Our approach deviates from standard MPC formulations by integrating multi-step predictors, which provide reduced ...

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This work presents a new computational optimization framework for the robust control of parks of Wave Energy Converters (WEC) in irregular waves. The power of WEC parks is maximized with respect to the individual control damping and stiffness coefficients ...

The overall sensitivity of frontside-illuminated, silicon single-photon avalanche diode (SPAD) arrays has often suffered from fill factor limitations. The fill factor loss can however be recovered by employing microlenses, whereby the challenges specific t ...

In engineering, oscillatory instabilities and resonances are often considered undesirable flow features and measures are taken to avoid them. This may include avoiding certain parametric regions or implementing control and mitigation strategies. However, t ...

This analysis compares the performance of seven algorithms for cluster analysis of single-molecule localization microscopy data. The results provide a framework for comparing these types of methods and point users to the best tools. ...

Increasing adoption of smart meters and phasor measurement units (PMUs) in power distribution networks are enabling the adoption of data-driven/model-less control schemes to mitigate grid issues such as over/under voltages and power-flow congestions. Howev ...

Autonomous illumination control for localization microscopy

Chattez avec Graph Search

Correlative light and electron microscopy for human brain and other biological models

Live-cell imaging powered by computation

Koopman-based Data-driven Robust Control of Nonlinear Systems Using Integral Quadratic Constraints

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

The Current State of the OBI DICT Project: A Bilingual e-Dictionary of Oracle-Bone Inscriptions with AI Image Recognition

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Localized model order reduction and domain decomposition methods for coupled heterogeneous systems

Adapting Haptic Feedback for Guided Meditation

Chemical Probe for Imaging of Polo-like Kinase 4 and Centrioles

Data-driven Methods for Control: from Linear to Lifting

Homothetic Tube Model Predictive Control With Multi-Step Predictors

Latency Interfaces for Systems Code

Encoding and Decoding Narratives: Datafication and Alternative Access Models for Audiovisual Archives

Prompting Large Language Models to Power Educational Chatbots

Robust optimization of control parameters for WEC arrays using stochastic methods

Challenges and prospects for multi-chip microlens imprints on front-side illuminated SPAD imagers

Self-sustained dynamics and forced resonant oscillations in flows: cross-junction jets and sloshing liquids

A framework for evaluating the performance of SMLM cluster analysis algorithms

Experimental Validation of Model-less Robust Voltage Control using Measurement-based Estimated Voltage Sensitivity Coefficients