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.
Keywords
- Spectral Unmixing
- Spectral Data Analysis
- Flow Cytometry System
- Fluorescence Emission Signal
- Unmixing Model
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes
- 1.
Presented at the International Congress of Analytical Cytology, May 23–28, 2004, Montpellier, France.
- 2.
Motohiro Furuki, Shingo Imanishi, Masaya Kakuta, Masanobu Yamamoto, Yohei Morita,Yuji Yamazaki, Yumiko Ishii, Hiromitsu Nakauchi, “Hyper-Spectral Flow Cytometer with a Microfluidic Chip.” Presented at CYTO2010, XXV Congress of International Society for Advancement of Cytometry, May 9–12, 2010, Seattle, WA, USA.
- 3.
Masashi Sekino, Yasunobu Kato, Tatsumi Ito, “Probabilistic Spectrum Compensation for Flow Cytometry.” Presented at CYTO2012, XXVII Congress of International Society for Advancement of Cytometry, 23–27 June, 2012, Leipzig, Germany,.
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Grégori, G. et al. (2013). Hyperspectral Cytometry. In: Fienberg, H., Nolan, G. (eds) High-Dimensional Single Cell Analysis. Current Topics in Microbiology and Immunology, vol 377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/82_2013_359
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