Publication

Study of Spatio-Temporal Immunofluorescence on Bead Patterns in a Microfluidic Channel

Related publications (31)

Learning from droplet flows in microfluidic channels using deep neural networks

Demetri Psaltis, Seyyed Mohammad Hosseini Hashemi, Pooria Hadikhani

A non-intrusive method is presented for measuring different fluidic properties in a microfluidic chip by optically monitoring the flow of droplets. A neural network is used to extract the desired information from the images of the droplets. We demonstrate ...

Nature Research2019

Simulation of the microfluidic mixing and the droplet generation for 3D printing of nuclear fuels

Manuel Alexandre Pouchon

This paper presents the computational fluid dynamics modeling of an additive manufacturing process that is candidate for the production of Gen IV nuclear reactor fuels. The modeled process combines the internal gelation to produce metal hydrous oxides with ...

ELSEVIER SCIENCE BV2019

Combining fluorescence-based image segmentation and automated microfluidics for ultrafast cell-by-cell assessment of biomarkers for HER2-type breast carcinoma

Martinus Gijs, Daniel Migliozzi, Huu Tuan Nguyen

Immunohistochemistry (IHC) is one of the main clinical techniques for biomarker assessment on tissue biopsies. It consists in chromogenic labeling with specific antibodies, followed by optical imaging, and it is used for diagnosis and therapeutic targeting ...

SPIE Society of Photo-optical Instrumentation Engineers2019

Controlling transport dynamics of confined asymmetric fibers

François Gallaire, Mathias Simon Daniel Bechert, Jean Cappello

Transport properties of particles in confining geometries show very specific characteristics as lateral drift, oscillatory movement between lateral walls or the deformation of flexible fibers. These dynamics result from viscous friction with transversal an ...

IOP Publishing - EPL Association2019

Label-free plasmonic biosensors for real-time live cell analysis

Xiaokang Li

For decades, the understanding of life has been focused on its most fundamental building blocks: molecules. Deciphering the dynamic activities of protein molecules in human cells is of vital significance for fundamental and clinical studies. The minuscule ...

EPFL2019

Transport of flexible fibers in confined microchannels

François Gallaire, Mathias Simon Daniel Bechert, Jean Cappello

When transported in confined geometries rigid fibers show interesting transport dynamics induced by friction with the top and bottom walls. Fiber flexibility causes an additional coupling between fiber deformation and transport and is expected to lead to m ...

2019

Pattern formation in thin liquid films: from coating-flow instabilities to microfluidic droplets

Gioele Mariano Nicolò Balestra

Nature and technical applications abound with thin viscous flows, ranging from the lava flow on volcanoes to the lubricating layer around confined bubbles in the microchannels of Lab-on-a-Chip devices. Countless are the examples where coating flows arise i ...

EPFL2018

Capsules with submicron shells: production, stability, and leakage behavior

Antoine Claude Jean Vian

Capsules are often employed to prolong the shelf-life of active ingredients such as many drugs, food additives, or cosmetic substances because they delay their oxidation or prevent interactions with molecules contained in the surrounding. If designed prope ...

EPFL2018

Scalable production of double emulsion drops with thin shells

Esther Amstad, Antoine Claude Jean Vian

Double emulsions are often used as containers to perform high throughput screening assays and as templates for capsules. These applications require double emulsions to be mechanically stable such that they do not coalesce during processing and storage. A p ...

2018

Deformation of Microchannels Embedded in an Elastic Medium

Vivek Ramachandran

The deformation of microfluidic channels in a soft elastic medium has a central role in the operation of lab-on-a-chip devices, fluidic soft robots, liquid metal (LM) electronics, and other emerging soft-matter technologies. Understanding the influence of ...

ASME2018