Literature DB >> 24271566

Hyperspectral cytometry.

Gérald Grégori1, Bartek Rajwa, Valery Patsekin, James Jones, Motohiro Furuki, Masanobu Yamamoto, J Paul Robinson.   

Abstract

Hyperspectral cytometry is an emerging technology for single-cell analysis that combines ultrafast optical spectroscopy and flow cytometry. Spectral cytometry systems utilize diffraction gratings or prism-based monochromators to disperse fluorescence signals from multiple labels (organic dyes, nanoparticles, or fluorescent proteins) present in each analyzed bioparticle onto linear detector arrays such as multianode photomultipliers or charge-coupled device sensors. The resultant data, consisting of a series of characterizing every analyzed cell, are not compensated by employing the traditional cytometry approach, but rather are spectrally unmixed utilizing algorithms such as constrained Poisson regression or non-negative matrix factorization. Although implementations of spectral cytometry were envisioned as early as the 1980s, only recently has the development of highly sensitive photomultiplier tube arrays led to design and construction of functional prototypes and subsequently to introduction of commercially available systems. This chapter summarizes the historical efforts and work in the field of spectral cytometry performed at Purdue University Cytometry Laboratories and describes the technology developed by Sony Corporation that resulted in release of the first commercial spectral cytometry system-the Sony SP6800. A brief introduction to spectral data analysis is also provided, with emphasis on the differences between traditional polychromatic and spectral cytometry approaches.

Mesh:

Year:  2014        PMID: 24271566     DOI: 10.1007/82_2013_359

Source DB:  PubMed          Journal:  Curr Top Microbiol Immunol        ISSN: 0070-217X            Impact factor:   4.291


  5 in total

1.  Sample Preparation for Mass Cytometry Analysis.

Authors:  Ryan L McCarthy; Aundrietta D Duncan; Michelle C Barton
Journal:  J Vis Exp       Date:  2017-04-29       Impact factor: 1.355

2.  Unlocking autofluorescence in the era of full spectrum analysis: Implications for immunophenotype discovery projects.

Authors:  Vanta J Jameson; Tina Luke; Yuting Yan; Angela Hind; Maximilien Evrard; Kevin Man; Laura K Mackay; Axel Kallies; Jose A Villadangos; Hamish E G McWilliam; Alexis Perez-Gonzalez
Journal:  Cytometry A       Date:  2022-03-29       Impact factor: 4.714

3.  SPADEVizR: an R package for visualization, analysis and integration of SPADE results.

Authors:  Guillaume Gautreau; David Pejoski; Roger Le Grand; Antonio Cosma; Anne-Sophie Beignon; Nicolas Tchitchek
Journal:  Bioinformatics       Date:  2017-03-01       Impact factor: 6.937

Review 4.  Guardians of the Gut - Murine Intestinal Macrophages and Dendritic Cells.

Authors:  Mor Gross; Tomer-Meir Salame; Steffen Jung
Journal:  Front Immunol       Date:  2015-06-02       Impact factor: 7.561

5.  Novel full-spectral flow cytometry with multiple spectrally-adjacent fluorescent proteins and fluorochromes and visualization of in vivo cellular movement.

Authors:  Koji Futamura; Masashi Sekino; Akihiro Hata; Ryoyo Ikebuchi; Yasutaka Nakanishi; Gyohei Egawa; Kenji Kabashima; Takeshi Watanabe; Motohiro Furuki; Michio Tomura
Journal:  Cytometry A       Date:  2015-07-28       Impact factor: 4.355

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.