Microfluidics for single-cell analysis /

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Bibliographic Details
Imprint:Singapore : Springer, 2019.
Description:1 online resource (263 pages)
Language:English
Series:Integrated Analytical Systems Ser.
Integrated analytical systems.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12630745
Hidden Bibliographic Details
Other authors / contributors:Lin, Jin-Ming.
ISBN:9789813297296
9813297298
981329728X
9789813297289
9789813297302
9813297301
9789813297319
981329731X
9789813297289
Digital file characteristics:text file PDF
Notes:Print version record.
Summary:This book summarizes the various microfluidic-based approaches for single-cell capture, isolation, manipulation, culture and observation, lysis, and analysis. Single-cell analysis reveals the heterogeneities in morphology, functions, composition, and genetic performance of seemingly identical cells, and advances in single-cell analysis can overcome the difficulties arising due to cell heterogeneity in the diagnostics for a targeted model of disease. This book provides a detailed review of the state-of-the-art techniques presenting the pros and cons of each of these methods. It also offers lessons learned and tips from front-line investigators to help researchers overcome bottlenecks in their own studies. Highlighting a number of techniques, such as microfluidic droplet techniques, combined microfluidics-mass-spectrometry systems, and nanochannel sampling, it describes in detail a new microfluidic chip-based live single-cell extractor (LSCE) developed in the editor's laboratory, which opens up new avenues to use open microfluidics in single-cell extraction, single-cell mass spectrometric analysis, single-cell adhesion analysis and subcellular operations. Serving as both an elementary introduction and advanced guidebook, this book interests and inspires scholars and students who are currently studying or wish to study microfluidics-based cell analysis methods.
Other form:Print version: Lin, Jin-Ming. Microfluidics for Single-Cell Analysis. Singapore : Springer, ©2019 9789813297289
Standard no.:10.1007/978-981-32-9729-6