Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
Optofluidics S01: On-Chip Imaging I
Monday, 24/Jun/2019:
8:30 - 9:30

Session Chair: Andreas E. Vasdekis, University of Idaho, United States of America
Location: Room 22a (ICM, 2nd Floor)

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8:30 - 9:00
ID: 132 / Optofluidics S01: 1

Ultra-High-Throughput Multi-Parametric Imaging Flow Cytometry

Andrew James deMello, Anand Rane, Gregor Holzner, Stavros Stavrakis

ETH Zürich, Switzerland

I will present a microfluidic imaging flow cytometer incorporating stroboscopic illumination, for blur-free cellular analysis at throughputs exceeding 100,000 cells per second. By combining passive (inertial or viscoelastic) focusing of cells in parallel microchannels with stroboscopic illumination, such chip-based cytometers are able to extract multi-colour fluorescence and bright-field images of single cells moving at high linear velocities. This in turn allows accurate sizing of individual cells, intracellular localization and analysis of heterogeneous cell suspensions. The method is showcased through the rapid enumeration of apoptotic cells, high-throughput discrimination cell cycle phases and localization of p-bodies.

9:00 - 9:15
ID: 108 / Optofluidics S01: 2

Learning The Fluid/Flow Properties Using Microfluidics

Pooria Hadikhani, Navid Borhani, S. Mohammad H. Hashemi, Demetri Psaltis

EPFL, Switzerland

Deep neural networks (DNN) are employed to measure the flow rate and the concentration of the liquid using the images of the droplets in a microfluidic device. The trained networks are able to measure flow rates and concentrations with good accuracy.

9:15 - 9:30
ID: 113 / Optofluidics S01: 3

Microfluidic Engineering for Continuous in-flow cyto-tomography

Pasquale Memmolo1, Massimiliano M. Villone2, Francesco Merola1, Lisa Miccio1, Martina Mugnano1, Pier Luca Maffettone2, Pietro Ferraro1

1CNR Institute of Applied Sciences and Intelligent Systems “E. Caianiello”, Italy.; 2Dipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, University of Naples “Federico II”, Piazzale Tecchio 80, 80125 Napoli, Italy.

The possibility to investigate cells in microfluidic flow by using a full 3D morphometry analysis is highly demanded to achieve information about their healthiness. Recently, the tomographic flow cytometry by digital holography has been demonstrated to monitor red blood cells in microfluidics environment by simply applying flux pressure to induce random self-rotation of flowing cells. Here, we provide a microfluidic solution to engineer the flow with the aim to ensure the full 360 degree of angle rotation of all cells in the field of view. We test the proposed methods for circulating tumour cells.

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