Literature DB >> 19199345

Spectral measurements of large particles by flow cytometry.

Dakota A Watson1, Daniel F Gaskill, Leif O Brown, Stephen K Doorn, John P Nolan.   

Abstract

Flow cytometers designed to analyze large particles are enabling new applications in biology and chemistry. Similarly, flow spectroscopy approaches are extending the capabilities of the flow cytometry platform. Here, we report on the adaptation of a commercial large particle analyzer to measure fluorescence and Raman spectra of individual particles at high speeds. We modified a Union Biometrica COPAS Plus instrument to allow red excitation and optical fiber-based light collection and spectral analysis using a spectrograph and CCD array detector. These modifications did not compromise the ability of the instrument to resolve different sized particles based on their extinction and time of flight signals. The modified instrument has the sensitivity and spectral resolution to measure the fluorescence and Raman signals from individual particles with signal integration times of 10 usec. The high speed spectral analysis of individual particles in flow will enable new applications in biological and chemical analyses. (c) 2009 International Society for Advancement of Cytometry.

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Year:  2009        PMID: 19199345      PMCID: PMC2674113          DOI: 10.1002/cyto.a.20706

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  15 in total

1.  Validation of large particle flow cytometry for the analysis and sorting of intact pancreatic islets.

Authors:  Luis A Fernandez; Eric W Hatch; Barbara Armann; Jon S Odorico; Debra A Hullett; Hans W Sollinger; Matthew S Hanson
Journal:  Transplantation       Date:  2005-09-27       Impact factor: 4.939

2.  Single particle high resolution spectral analysis flow cytometry.

Authors:  Gregory Goddard; John C Martin; Mark Naivar; Peter M Goodwin; Steven W Graves; Robb Habbersett; John P Nolan; James H Jett
Journal:  Cytometry A       Date:  2006-08-01       Impact factor: 4.355

3.  Automated assays to study longevity in C. elegans.

Authors:  Maren Hertweck; Ralf Baumeister
Journal:  Mech Ageing Dev       Date:  2005-01       Impact factor: 5.432

4.  Classification of spectroscopically encoded resins by Raman mapping and infrared hyperspectral imaging.

Authors:  Hicham Fenniri; Owen Terreau; Sangki Chun; Sung Joon Oh; William F Finney; Michael D Morris
Journal:  J Comb Chem       Date:  2006 Mar-Apr

5.  Factors governing the flow cytometric analysis and sorting of large biological particles.

Authors:  K R Harkins; D W Galbraith
Journal:  Cytometry       Date:  1987-01

6.  Viable sorting of intact multicellular spheroids by flow cytometry.

Authors:  J P Freyer; M E Wilder; J H Jett
Journal:  Cytometry       Date:  1987-07

7.  Aminodeoxychorismate synthase inhibitors from one-bead one-compound combinatorial libraries: "staged" inhibitor design.

Authors:  Seth Dixon; Kristin T Ziebart; Ze He; Melissa Jeddeloh; Choong Leol Yoo; Xiaobing Wang; Alan Lehman; Kit S Lam; Michael D Toney; Mark J Kurth
Journal:  J Med Chem       Date:  2006-12-14       Impact factor: 7.446

8.  Droplet sorting of large particles.

Authors:  J H Jett; R G Alexander
Journal:  Cytometry       Date:  1985-09

9.  Acute antibody-mediated complement activation mediates lysis of pancreatic islets cells and may cause tissue loss in clinical islet transplantation.

Authors:  Jenny Tjernberg; Kristina N Ekdahl; John D Lambris; Olle Korsgren; Bo Nilsson
Journal:  Transplantation       Date:  2008-04-27       Impact factor: 4.939

10.  TLR-independent control of innate immunity in Caenorhabditis elegans by the TIR domain adaptor protein TIR-1, an ortholog of human SARM.

Authors:  Carole Couillault; Nathalie Pujol; Jérôme Reboul; Laurence Sabatier; Jean-François Guichou; Yuji Kohara; Jonathan J Ewbank
Journal:  Nat Immunol       Date:  2004-03-28       Impact factor: 25.606

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  15 in total

1.  Functional assessment of automatically sorted pancreatic islets using large particle flow cytometry.

Authors:  Anja Steffen; Barbara Ludwig; Christian Krautz; Stefan Bornstein; Michele Solimena
Journal:  Islets       Date:  2011-09-01       Impact factor: 2.694

2.  Time-Delayed Integration-Spectral Flow Cytometer (TDI-SFC) for Low-Abundance-Cell Immunophenotyping.

Authors:  Wenting Hu; Steven A Soper; J Matt Jackson
Journal:  Anal Chem       Date:  2019-03-13       Impact factor: 6.986

3.  Advantages of full spectrum flow cytometry.

Authors:  Claire K Sanders; Judith R Mourant
Journal:  J Biomed Opt       Date:  2013-03       Impact factor: 3.170

4.  Surface-enhanced Raman scattering (SERS) cytometry.

Authors:  John P Nolan; David S Sebba
Journal:  Methods Cell Biol       Date:  2011       Impact factor: 1.441

Review 5.  Computational analysis of high-throughput flow cytometry data.

Authors:  J Paul Robinson; Bartek Rajwa; Valery Patsekin; Vincent Jo Davisson
Journal:  Expert Opin Drug Discov       Date:  2012-06-18       Impact factor: 6.098

6.  High-resolution spectral analysis of individual SERS-active nanoparticles in flow.

Authors:  Gregory Goddard; Leif O Brown; Robb Habbersett; Christina I Brady; John C Martin; Steven W Graves; James P Freyer; Stephen K Doorn
Journal:  J Am Chem Soc       Date:  2010-05-05       Impact factor: 15.419

Review 7.  In vivo flow cytometry: a horizon of opportunities.

Authors:  Valery V Tuchin; Attila Tárnok; Vladimir P Zharov
Journal:  Cytometry A       Date:  2011-09-13       Impact factor: 4.355

Review 8.  Spectral flow cytometry.

Authors:  John P Nolan; Danilo Condello
Journal:  Curr Protoc Cytom       Date:  2013-01

9.  Visible and near infrared fluorescence spectral flow cytometry.

Authors:  John P Nolan; Danilo Condello; Erika Duggan; Mark Naivar; David Novo
Journal:  Cytometry A       Date:  2012-12-06       Impact factor: 4.355

10.  Human immunophenotyping via low-variance, low-bias, interpretive regression modeling of small, wide data sets: Application to aging and immune response to influenza vaccination.

Authors:  Tyson H Holmes; Xiao-Song He
Journal:  J Immunol Methods       Date:  2016-05-16       Impact factor: 2.303

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