Capturing complex 3D tissue physiology in vitro

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Volume electron microscopy is the method of choice for the in situ interrogation of cellular ultrastructure at the nanometer scale, and with the increase in large raw image datasets generated, improving computational strategies for image segmentation and s ...

The optical domain presents potential avenues for enhancing both computing and communication due to its inherent properties of bandwidth, parallelism, and energy efficiency. This research focuses on harnessing 3-Dimensional (3D) diffractive optics for nove ...

In recent years, there has been a significant revolution in the field of deep learning, which has demonstrated its effectiveness in automatically capturing intricate patterns from large datasets. However, the majority of these successes in Computer Vision ...

Volumetric 3D printing is a novel technique that offers promising new perspectives in tissue engineering. In volumetric 3D printing, photosensitive gels or liquids are solidified by projecting light patterns via reverse tomography. Recent results show that ...

The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

Current post-earthquake damage assessment methodologies are not only time-consuming but also subjective in nature and difficult to document. Recent advancements in artificial intelligence and technological devices make it possible to accomplish this task a ...

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In this thesis, we advocate that Computer-Aided Engineering could benefit from a Geometric Deep Learning revolution, similarly to the way that Deep Learning revolutionized Computer Vision. To do so, we consider a variety of Computer-Aided Engineering pr ...

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Our aim is to develop a 3D model unit of cardiac muscle: an in-vitro analog of the trabeculae carneae found in vivo. As a base hydrogel matrix for cardiomyocyte culture in 3D, we develop a blend of decellularized extracellular matrix (dECM) and fibrin. Thi ...

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Inspired from additive manufacturing's success, the structuring of biocompatible materials through bioprinting has become a growing field of research in the past fifteen years. It opened the door to a plethora of applications ranging from the fabrication o ...

The form and structure of biological tissues define their function. The emergence of tissue morphology during development is one of the wonders of nature. Cells mechanically probe and manipulate their surroundings while constructing structures from the ext ...

Organoids form through self-organization processes in which initially homogeneous populations of stem cells spontaneously break symmetry and undergo in-vivo-like pattern formation and morphogenesis, though the processes controlling this are poorly characte ...

One of the long-standing goals in the field of tissue engineering is the fabrication of de novo tissues or even organs to provide better tissue models for basic research and drug discovery, and to alleviate a shortage of donor organs in the future. Researc ...

Combining halide perovskites with tailored dimensionality into two/three-dimensional (2D/3D) systems has revealed a powerful strategy to boost the performances of perovskite photovoltaics (PVs). Despite recent advances, a clear understanding of the intimat ...

Progress in optics technology has enriched our daily lives in many ways. Various types of single-photon detector technologies have emerged in the last century. Among these, single-photon avalanche diode (SPAD) technology outperforms other detectors for its ...

Capturing complex 3D tissue physiology in vitro

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Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

3D diffractive optics for linear interconnects and nonlinear processing

Deep Learning for 3D Surface Modelling and Reconstruction

Volumetric additive manufacturing in a scattering resin

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

Studies on EU-DEMO 3D coils requirements and conceptual design for error field correction and plasma control

Fast 3D Modeling of Prosthetic Robotic Hands Based on a Multi-Layer Deformable Design

Synthesis and Analysis of 3D shapes with Geometric Deep Learning in Computer-Aided Engineering

Image-based geometric digital twinning for stone masonry elements

Bragg edge tomography characterization of additively manufactured 316L steel

Towards an in vitro cardiac model: 3D environment, co-culture, alignment, and mechanical stimulation impact on cell behavior

Bioprinting of Cartilaginous Auricular Constructs Utilizing an Enzymatically Crosslinkable Bioink

Implementation of Functional Microfluidic Dispensing Tools Enabling Enhanced Control in Extrusion Bioprinting

Mechanical principles of engineering fibrous tissues with programmable shape

Engineering Stem Cell Self-organization to Build Better Organoids

Engineering next generation organoids through guided stem cell self-organisation

Crystal Orientation Drives the Interface Physics at Two/Three-Dimensional Hybrid Perovskites

Megapixel SPAD cameras for time-resolved applications