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Real-time deformability cytometry (RT-DC) enables high-throughput, contact-free mechanical characterization of soft microscopic objects. Here we apply this technique to giant unilamellar vesicles (GUVs). To interpret vesicle deformation in…

Biological Physics · Physics 2025-11-14 Maximilian Kloppe , Stefan J. Maurer , Tobias Abele , Kerstin Göpfrich , Sebastian Aland

As described in the work of Mietke et al. (1) the deformation (defined as 1 - circularity [see (2)]) of a purely elastic, spherical object deformed in a real-time deformability cytometry (RT-DC) experiment can be mapped to its apparent…

Soft Condensed Matter · Physics 2017-04-04 Christoph Herold

Look-up table(LUT)-based methods have shown the great efficacy in single image super-resolution (SR) task. However, previous methods ignore the essential reason of restricted receptive field (RF) size in LUT, which is caused by the…

Image and Video Processing · Electrical Eng. & Systems 2023-07-18 Guandu Liu , Yukang Ding , Mading Li , Ming Sun , Xing Wen , Bin Wang

Accurate assessment of stiffness distribution is essential due to the critical role of single cell mechanobiology in the regulation of many vital cellular processes such as proliferation, adhesion, migration, and motility. Cell stiffness is…

Mechanical properties of the cell are important biomarkers for probing its architectural changes caused by cellular processes and/or pathologies. The development of microfluidic technologies have enabled measuring cell mechanics at…

Soft Condensed Matter · Physics 2021-05-19 Moslem Moradi , Ehssan Nazockdast

This study examines the mechanical behavior of a novel class of mechanical metamaterials alternating pentamode lattices and stiffening plates. The unit cell of such lattices consists of a sub-lattice of the face cubic-centered unit cell…

Applied Physics · Physics 2020-02-04 F. Fraternali , A. Amendola

Describing the deviation of a real structure from a hypothetical higher-symmetry ideal can be a powerful tool to understand and interpret phase transitions. Here we introduce a simple yet effective metric that quantifies the degree of unit…

Materials Science · Physics 2025-08-05 Shannon Bernier , Gregory Bassen , Matthew Brem , Davor Tolj , Quentin Simmons , Tyrel M. McQueen

The multi-scale nature of architectured materials raises the need for advanced experimental methods suitable for the identification of their effective properties, especially when their size is finite and they undergo extreme deformations.…

Applied Physics · Physics 2024-03-04 Filippo Agnelli , Pierre Margerit , Paolo Celli , Chiara Daraio , Andrei Constantinescu

We provide a C/C++ software for the shape analysis of deflated elastic capsules in a pendant capsule geometry, which is based on an elastic description of the capsule material as a quasi two-dimensional elastic membrane using shell theory.…

A molecular-dynamics type simulation method, which is suitable for investigating the dewetting dynamics of thin and viscous liquid layers, is discussed. The efficiency of the method is exemplified by studying a two-parameter depinning-like…

Soft Condensed Matter · Physics 2015-06-22 Botond Tyukodi , Yves Brechet , Zoltan Neda

Distant spreading of primary lesions is modulated by the vascular dynamics of circulating tumor cells (CTCs) and their ability to establish metastatic niches. While the mechanisms regulating CTC homing in specific tissues are yet to be…

Soft Condensed Matter · Physics 2019-07-23 Pieto Lenarda , Alessandro Coclite , Paolo Decuzzi

Modeling of the red blood cell (RBC) shape is an integral part of the experimental and computer simulation investigations of light scattering by these cells for fundamental studies as well as diagnostic applications in techniques like…

Biological Physics · Physics 2024-06-18 Gaurav D. Bhabhor , Chetna Patel , Nishant Chhillar , Arun Anand , Kirit N. Lad

Cell deformability is an essential determinant for tissue-scale mechanical nature, such as fluidity and rigidity, and is thus crucial for understanding tissue homeostasis and stable developmental processes. However, numerical simulations…

Tissues and Organs · Quantitative Biology 2023-03-08 Nen Saito , Shuji Ishihara

Accurate lung nodule detection for computed tomography (CT) scan imagery is challenging in real-world settings due to the sparse occurrence of nodules and similarity to other anatomical structures. In a typical positive case, nodules may…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Hooman Ramezani , Dionne Aleman , Daniel Létourneau

We study large deformations of hyperelastic membranes using a purely two-dimensional formulation derived from basic balance principles within a modern geometric setting, ensuring a framework that is independent of an underlying…

Soft Condensed Matter · Physics 2025-09-22 Claudia Grabs , Werner Wirges

X-ray computed tomography (XCT) has become a reliable metrology tool for measuring internal flaws and other microstructural features in engineering materials. However, tracking of material points to measure three-dimensional (3D)…

Materials Science · Physics 2023-04-13 Zifan Wang , Akshay Joshi , Angkur Jyoti Dipanka Shaikeea , Vikram Susdhir Deshpande

The gene expression profile of a tissue averages the expression profiles of all cells in this tissue. Digital tissue deconvolution (DTD) addresses the following inverse problem: Given the expression profile $y$ of a tissue, what is the…

Quantitative Methods · Quantitative Biology 2018-06-13 Franziska Görtler , Stefan Solbrig , Tilo Wettig , Peter J. Oefner , Rainer Spang , Michael Altenbuchinger

Time- and angle-resolved photoemission spectroscopy is a powerful technique for investigating the dynamics of excited carriers in quantum materials. Typically, data analysis proceeds via the inspection of time distribution curves (TDCs),…

We both review and augment the lightcone conformal truncation (LCT) method. LCT is a Hamiltonian truncation method for calculating dynamical quantities in QFT in infinite volume. This document is a self-contained, pedagogical introduction…

High Energy Physics - Theory · Physics 2020-09-11 Nikhil Anand , A. Liam Fitzpatrick , Emanuel Katz , Zuhair U. Khandker , Matthew T. Walters , Yuan Xin

We develop a numerical methodology for the calculation of mode-I R-curves of brittle and elastoplastic lattice materials, and unveil the impact of lattice topology, relative density and constituent material behavior on the toughening…

Materials Science · Physics 2020-03-18 Meng-Ting Hsieh , Vikram S. Deshpande , Lorenzo Valdevit
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