Publications associées à Understanding Soft-Tissue Behavior for Application to Microlaparoscopic Surface Scan

An interior penalty coupling strategy for isogeometric non-conformal Kirchhoff-Love shell patches

Annalisa Buffa, Pablo Antolin Sanchez, Giuliano Guarino

This work focuses on the coupling of trimmed shell patches using Isogeometric Analysis, based on higher continuity splines that seamlessly meet the

C^1

requirement of Kirchhoff-Love-based discretizations. Weak enforcement of coupling conditions is achiev ...

Springer2024

Controlling crystal cleavage in focused ion beam shaped specimens for surface spectroscopy

Philip Johannes Walter Moll, Matthias Carsten Putzke, Andrew Scott Hunter

Our understanding of quantum materials is commonly based on precise determinations of their electronic spectrum by spectroscopic means, most notably angle-resolved photoemission spectroscopy (ARPES) and scanning tunneling microscopy. Both require atomicall ...

Aip Publishing2024

Fluorescent fatty acid conjugates for live cell imaging of peroxisomes

Luc Reymond, Fabien Kuttler, Milena Maria Schuhmacher, Manon Sandra Bardyn, Daria Korotkova, Triana Amen

Peroxisomes are eukaryotic organelles that are essential for multiple metabolic pathways, including fatty acid oxidation, degradation of amino acids, and biosynthesis of ether lipids. Consequently, peroxisome dysfunction leads to pediatric-onset neurodegen ...

Nature Research2024

Accessible and highly observable gastrointestinal organoid model systems for studying host-pathogen interactions

Moritz Hofer

Traditional cell cultures have long been fundamental to biological research, offering an alternative to animal models burdened by ethical constraints and procedural intricacies, often lacking relevance to human physiology and disease. Moreover, their inabi ...

EPFL2024

Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution

Maria Brbic, Sandy Lee

Aging is characterized by a decline in tissue function, but the underlying changes at cellular resolution across the organism remain unclear. Here, we present the Aging Fly Cell Atlas, a single-nucleus transcriptomic map of the whole aging Drosophila. We c ...

American Association for the Advancement of Science2023

3D printed fiber-optic nanomechanical bioprobe

Sandor Kasas, Jiangtao Zhou, Yiping Wang, Yuguang Chen

Ultrasensitive nanomechanical instruments, e.g. atomic force microscopy (AFM), can be used to perform delicate biomechanical measurements and reveal the complex mechanical environment of biological processes. However, these instruments are limited because ...

IOP Publishing Ltd2023

Neuronal migration prevents spatial competition in retinal morphogenesis

Martin Weigert

The concomitant occurrence of tissue growth and organization is a hallmark of organismal development(1-3). This often means that proliferating and differentiating cells are found at the same time in a continuously changing tissue environment. How cells ada ...

NATURE PORTFOLIO2023

Mimicking Loading-Induced Cartilage Self-Heating in Vitro Promotes Matrix Formation in Chondrocyte-Laden Constructs with Different Mechanical Properties

Dominique Pioletti, Peyman Karami, Naser Nasrollahzadeh Mamaghani, Theofanis Stampoultzis, Yanheng Guo

Articular cartilage presents a mechanically sensitive tissue. Chondrocytes, the sole cell type residing in the tissue, perceive and react to physical cues as signals that significantly modulate their behavior. Hyaline cartilage is a connective tissue with ...

2023

Revealing the complexity of ultra-soft hydrogel re-swelling inside the brain

Stéphanie Lacour, Outman Akouissi, John Martin Kolinski, Michael Shur, Olivier Didier Christian Rizzo

The brain is an ultra-soft viscoelastic matrix. Sub-kPa hydrogels match the brain's mechanical properties but are challenging to manipulate in an implantable format. We propose a simple fabrication and processing sequence, consisting of de-hydration, patte ...

2023

DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications

Pascal Frossard, Ádám Dániel Ivánkay

Along with the successful deployment of deep neural networks in several application domains, the need to unravel the black-box nature of these networks has seen a significant increase recently. Several methods have been introduced to provide insight into t ...

Assoc Computational Linguistics-Acl2023