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We develop a mother machine-like microfluidic device specifically designed to track the proliferation of T-cells via live-cell microscopy. Although numerous microfluidic setups have been developed to study cell proliferation at the…

Cell Behavior · Quantitative Biology 2025-09-09 Simone Scalise , Giovanna Peruzzi , Davide Caprini , Giorgio Gosti , Giancarlo Ruocco , Mattia Miotto

The locomotion of microorganisms and spermatozoa in complex viscoelastic fluids is of critical importance in many biological processes such as fertilization, infection, and biofilm formation. Depending on their propulsion mechanisms,…

Soft Condensed Matter · Physics 2021-09-14 Gaojin Li , Eric Lauga , Arezoo M. Ardekani

We develop a framework for constructing mixed multiscale finite volume methods for elliptic equations with multiple scales arising from flows in porous media. Some of the methods developed using the framework are already known…

Numerical Analysis · Mathematics 2012-08-20 Lijian Jiang , Ilya D. Mishev

Sampling useful three-dimensional molecular structures along with their most favorable conformations is a key challenge in drug discovery. Current state-of-the-art 3D de-novo design flow matching or diffusion-based models are limited to…

Machine Learning · Computer Science 2025-11-24 Riccardo Tedoldi , Ola Engkvist , Patrick Bryant , Hossein Azizpour , Jon Paul Janet , Alessandro Tibo

The relationship between blood flow and neuronal activity is widely recognized, with blood flow frequently serving as a surrogate for neuronal activity in fMRI studies. At the microscopic level, neuronal activity has been shown to influence…

Neurons and Cognition · Quantitative Biology 2023-06-29 Yoni Choukroun , Lior Golgher , Pablo Blinder , Lior Wolf

Implantable medical devices and biosensors are pivotal in revolutionizing the field of medical technology by opening new dimensions in the field of disease detection and cure. These devices need to harness a biocompatible and…

Fluid Dynamics · Physics 2019-08-06 Rahul Roy , Siddhartha Mukherjee , Rajaram Lakkaraju , Suman Chakraborty

Physiological signals are often corrupted by motion artifacts, baseline drift, and other low-SNR disturbances, which pose significant challenges for analysis. Additionally, these signals exhibit strong non-stationarity, with sharp peaks and…

Machine Learning · Computer Science 2025-10-21 Yanlong Chen , Mattia Orlandi , Pierangelo Maria Rapa , Simone Benatti , Luca Benini , Yawei Li

Motivated by problems arising in the pneumatic actuation of controllers for micro-electromechanical systems (MEMS), labs-on-a-chip or biomimetic soft robots, and the study of microrheology of both gases and soft solids, we analyze the…

Fluid Dynamics · Physics 2022-07-26 Vishal Anand , Ivan C. Christov

Biological tissues exhibit diverse mechanical and rheological behaviors during morphogenesis. While much is known about tissue phase transitions controlled by structural order and cell mechanics, key questions regarding how tissue-scale…

Soft Condensed Matter · Physics 2026-04-29 Pengyu Yu , Fridtjof Brauns , M. Cristina Marchetti

Active processes drive and guide biological dynamics across scales -- from subcellular cytoskeletal remodelling, through tissue development in embryogenesis, to population-level bacterial colonies expansion. In each of these, biological…

Wettability plays a significant role in controlling multiphase flow in porous media for many industrial applications, including geologic carbon dioxide sequestration, enhanced oil recovery, and fuel cells. Microfluidics is a powerful tool…

Soft Condensed Matter · Physics 2022-10-07 Mahtab Masouminia , Kari Dalnoki-Veress , Benzhong Zhao

The one-to-one mapping of control inputs to actuator outputs results in elaborate routing architectures that limit how complex fluidic soft robot behaviours can currently become. Embodied intelligence can be used as a tool to counteract…

Robotics · Computer Science 2024-04-02 Maks Gepner , Jonah Mack , Francesco Giorgio-Serchi , Adam A. Stokes

We report on experiments that consist in deforming a collection of monodisperse droplets produced by a microfluidic chip through a flow-focusing device. We show that a proper numerical modelling of the flow is necessary to access the stress…

Soft Condensed Matter · Physics 2018-05-23 Corentin Trégouët , Thomas Salez , Cécile Monteux , Mathilde Reyssat

Predicting the effects of perturbations in-silico on cell state can identify drivers of cell behavior at scale and accelerate drug discovery. However, modeling challenges remain due to the inherent heterogeneity of single cell gene…

In this paper, we propose a randomized generalized multiscale finite element method (Randomized GMsFEM) for flow problems with parameterized inputs and high-contrast heterogeneous media. The method employs a data-driven predictor to…

Numerical Analysis · Mathematics 2025-08-05 Wing Tat Leung , Qiuqi Li , Songwei Liu

Ultrasound-guided drug and gene delivery (usdg) enables controlled and spatially precise delivery of drugs and macromolecules, encapsulated in microbubbles (embs) and submicron gas vesicles (gvs), to target areas such as cancer tumors. It…

Soft Condensed Matter · Physics 2025-04-29 Nikolaos Ntarakas , Maša Lah , Daniel Svenšek , Tilen Potisk , Matej Praprotnik

Microfluidic biochips are replacing the conventional biochemical analysers integrating the necessary functions on-chip. We are interested in Flow-Based Microfluidic Biochips (FBMB), where a continuous flow of liquid is manipulated using…

Emerging Technologies · Computer Science 2025-05-07 Alexander Schneider , Jan Madsen , Paul Pop

Equilibrated fluid-solid-growth (FSGe) is a fast, open source, three-dimensional (3D) computational platform for simulating interactions between instantaneous hemodynamics and long-term vessel wall adaptation through mechanobiologically…

Computational Engineering, Finance, and Science · Computer Science 2024-08-12 Martin R. Pfaller , Marcos Latorre , Erica L. Schwarz , Fannie M. Gerosa , Jason M. Szafron , Jay D. Humphrey , Alison L. Marsden

In this work we present a multilayer shallow model to approximate the Navier-Stokes equations with hydrostatic pressure and the $\mu(I)$-rheology. The main advantages of this approximation are (i) the low cost associated with the numerical…

Mathematical Physics · Physics 2016-06-29 Enrique D. Fernández-Nieto , José Garres-Díaz , Anne Mangeney , Gladys Narbona-Reina

During embryonic development tissue morphogenesis and signaling are tightly coupled. It is therefore important to simulate both tissue morphogenesis and signaling simultaneously in in silico models of developmental processes. The resolution…

Tissues and Organs · Quantitative Biology 2013-05-28 Dagmar Iber , Simon Tanaka , Patrick Fried , Philipp Germann , Denis Menshykau
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