Microfluidic-assisted chromogenic in situ hybridization (MA-CISH) for fast and accurate breast cancer diagnosis

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Related publications (32)

Metabolic dependencies of metastasis-initiating cells in female breast cancer

Jörg Hülsken, Albert Santamaria Martinez, Pierre Vincent Dessen, Laurent Nam Ky Beziaud, Candice Megan T Young, Angela Madurga Alonso

Understanding the mechanisms that enable cancer cells to metastasize is essential in preventing cancer progression. Here we examine the metabolic adaptations of metastasis-initiating cells (MICs) in female breast cancer and how those shape their metastatic ...

Nature Portfolio2023

Electronic readout of DNA amplification in nanoliter chambers. Strategies towards highly parallel semiconductor-based nucleic acid amplification testing

Saurabh Tomar

Polymerase chain reaction (PCR) has been the most significant driver in the field of nucleic acid testing (NAT) since its invention. Popularized as an abbreviation by the Covid-19 pandemic, PCR-based methods are the gold standard in the field of diagnostic ...

EPFL2023

Combination of dielectrophoretic and hydrodynamic traps for the controlled contact between cells or beads and application to adhesion assays

Clémentine Sophie Sarah Lipp

Multicellular organisms require very well organized and finely balanced cell-cell communication, adhesion and coordination to ensure the organisms homeostasis. These functions rely on specialized receptors placed at the cells membrane whose binding to thei ...

EPFL2023

Microfluidic devices

Matthias Lütolf, Jisoo Park

The present disclosure relates to a microfluidic device comprising: a substrate; a culture chamber (130); a loading channel (170) in fluid communication with the culture chamber; at least one auxiliar channel (170-1, 5 170-2) extending from and in fluid co ...

2023

Acoustofluidic large-scale mixing for enhanced microfluidic immunostaining for tissue diagnostics

Martinus Gijs, Diego Gabriel Dupouy, Muaz Salama Abdelmonem Draz

The usage of microfluidics for automated and fast immunoassays has gained a lot of interest in the last decades. This integration comes with certain challenges, like the reconciliation of laminar flow patterns of micro-scale systems with diffusion-limited ...

ROYAL SOC CHEMISTRY2023

Microfluidic devices for automated analysis of ingested bacteria in the Caenorhabditis elegans intestine

Farzad Rezaeianaran

In this thesis, we explored on-chip high-resolution imaging of the fate of intestinal bacteria and bacterial products in Caenorhabditis elegans (C. elegans). In the first part, we carried out high-resolution z-stack fluorescent imaging of Red Fluorescent P ...

EPFL2023

High-resolution imaging and analysis of the intestinal bacterial load of Caenorhabditis elegans during early adulthood

Martinus Gijs, Farzad Rezaeianaran

We study the presence within the worm Caenorhabditis elegans (C. elegans) of a fluorescent strain of the worm's bacterial food (Escherichia coli (E. coli) OP50) during early adulthood. Use of a microfluidic chip based on a thin glass coverslip substrate al ...

ROYAL SOC CHEMISTRY2023

Microfluidic device combining hydrodynamic and dielectrophoretic trapping for the controlled contact between single micro-sized objects and application to adhesion assays

Philippe Renaud, Arnaud Bertsch, Clémentine Sophie Sarah Lipp

The understanding of cell-cell and cell-matrix interactions via receptor and ligand binding relies on our ability to study the very first events of their contact. Of particular interest is the interaction between a T cell receptor and its cognate peptide-m ...

ROYAL SOC CHEMISTRY2023

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL

Felix Schürmann, Pramod Shivaji Kumbhar, Snehal Pramod Kumbhar, Omar Awile, Ioannis Magkanaris

Advances in computational capabilities and large volumes of experimental data have established computer simulations of brain tissue models as an important pillar in modern neuroscience. Alongside, a variety of domain specific languages (DSLs) have been dev ...

ACM2023

Stable Nonconvex-Nonconcave Training via Linear Interpolation

Volkan Cevher, Thomas Michaelsen Pethick, Wanyun Xie

This paper presents a theoretical analysis of linear interpolation as a principled method for stabilizing (large-scale) neural network training. We argue that instabilities in the optimization process are often caused by the nonmonotonicity of the loss lan ...

2023

Portable impedance-sensing device for microorganism characterization in the field

Sandro Carrara, Karim Bouzid

A variety of biosensors have been proposed to quickly detect and measure the properties of individual microorganisms among heterogeneous populations, but challenges related to cost, portability, stability, sensitivity, and power consumption limit their app ...

Nature Portfolio2023

iSort enables automated complex microfluidic droplet sorting in an effort to democratize technology

Christoph Merten, Jatin Panwar

Fluorescence-activated droplet sorting (FADS) is a widely used microfluidic technique for high-throughput screening. However, it requires highly trained specialists to determine optimal sorting parameters, and this results in a large combinatorial space th ...

CELL PRESS2023

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