CoSyn: Efficient single-cell analysis using a hybrid microfluidic platform

Mohamed Ibrahim, Krishnendu Chakrabarty, Ulf Schlichtmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

Abstract

Single-cell genomics is used to advance our understanding of diseases such as cancer. Microfluidic solutions have recently been developed to classify cell types or perform single-cell biochemical analysis on pre-isolated types of cells. However, new techniques are needed to efficiently classify cells and conduct biochemical experiments on multiple cell types concurrently. System integration and design automation are major challenges in this context. To overcome these challenges, we present a hybrid microfluidic platform that enables complete single-cell analysis on a heterogeneous pool of cells. We combine this architecture with an associated design-automation and optimization framework, referred to as Co-Synthesis (CoSyn). The proposed framework employs real-time resource allocation to coordinate the progression of concurrent cell analysis. Simulation results show that CoSyn efficiently utilizes platform resources and outperforms baseline techniques.

Original languageEnglish
Title of host publicationProceedings of the 2017 Design, Automation and Test in Europe, DATE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1673-1678
Number of pages6
ISBN (Electronic)9783981537093
DOIs
StatePublished - 11 May 2017
Event20th Design, Automation and Test in Europe, DATE 2017 - Swisstech, Lausanne, Switzerland
Duration: 27 Mar 201731 Mar 2017

Publication series

NameProceedings of the 2017 Design, Automation and Test in Europe, DATE 2017

Conference

Conference20th Design, Automation and Test in Europe, DATE 2017
Country/TerritorySwitzerland
CitySwisstech, Lausanne
Period27/03/1731/03/17

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