Ultrahigh-Throughput, Real-Time Flow Cytometry for Rare Cell Quantification from Whole Blood
We present an ultrahigh-throughput, real-time fluorescence cytometer comprising a viscoelastic microfluidic system and a complementary metal–oxide-semiconductor (CMOS) linear image sensor-based detection system. The flow cytometer allows for real-time quantification of a variety of fluorescence spec...
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Published in | ACS sensors Vol. 9; no. 1; pp. 474 - 482 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Chemical Society
26.01.2024
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Abstract | We present an ultrahigh-throughput, real-time fluorescence cytometer comprising a viscoelastic microfluidic system and a complementary metal–oxide-semiconductor (CMOS) linear image sensor-based detection system. The flow cytometer allows for real-time quantification of a variety of fluorescence species, including micrometer-sized particles and cells, at analytical throughputs in excess of 400,000 species per second. The platform integrates a custom C++ control program and graphical user interface (GUI) to allow for the processing of raw signals, adjustment of processing parameters, and display of fluorescence intensity histograms in real time. To demonstrate the efficacy of the platform for rare event detection and its utility as a basic clinical tool, we measure and quantify patient-derived circulating tumor cells (CTCs) in peripheral blood, realizing that detection has a sensitivity of 6 CTCs per million blood cells (0.000006%) with a volumetric throughput of over 3 mL/min. |
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AbstractList | We present an ultrahigh-throughput, real-time fluorescence cytometer comprising a viscoelastic microfluidic system and a complementary metal-oxide-semiconductor (CMOS) linear image sensor-based detection system. The flow cytometer allows for real-time quantification of a variety of fluorescence species, including micrometer-sized particles and cells, at analytical throughputs in excess of 400,000 species per second. The platform integrates a custom C++ control program and graphical user interface (GUI) to allow for the processing of raw signals, adjustment of processing parameters, and display of fluorescence intensity histograms in real time. To demonstrate the efficacy of the platform for rare event detection and its utility as a basic clinical tool, we measure and quantify patient-derived circulating tumor cells (CTCs) in peripheral blood, realizing that detection has a sensitivity of 6 CTCs per million blood cells (0.000006%) with a volumetric throughput of over 3 mL/min. |
Author | Zhang, Yanan Weiss, Tobias Meng, Yingchao Aslan, Mahmut Kamil Stavrakis, Stavros deMello, Andrew J. |
AuthorAffiliation | Clinical Neuroscience Center Department of Neurology Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences |
AuthorAffiliation_xml | – name: Department of Neurology – name: Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences – name: Clinical Neuroscience Center |
Author_xml | – sequence: 1 givenname: Mahmut Kamil surname: Aslan fullname: Aslan, Mahmut Kamil organization: Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences – sequence: 2 givenname: Yingchao orcidid: 0000-0001-9097-0868 surname: Meng fullname: Meng, Yingchao organization: Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences – sequence: 3 givenname: Yanan surname: Zhang fullname: Zhang, Yanan organization: Clinical Neuroscience Center – sequence: 4 givenname: Tobias surname: Weiss fullname: Weiss, Tobias organization: Clinical Neuroscience Center – sequence: 5 givenname: Stavros orcidid: 0000-0002-0888-5953 surname: Stavrakis fullname: Stavrakis, Stavros email: stavros.stavrakis@chem.ethz.ch organization: Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences – sequence: 6 givenname: Andrew J. orcidid: 0000-0003-1943-1356 surname: deMello fullname: deMello, Andrew J. email: andrew.demello@chem.ethz.ch organization: Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences |
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SubjectTerms | Flow Cytometry - methods Humans Microfluidics Neoplastic Cells, Circulating |
Title | Ultrahigh-Throughput, Real-Time Flow Cytometry for Rare Cell Quantification from Whole Blood |
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