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Issue 12, 2018
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Discrimination analysis of excitatory and inhibitory neurons using Raman spectroscopy

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Abstract

We have succeeded in discriminating between intact excitatory and inhibitory neuronal cells with Raman analysis. Excitatory and inhibitory neurons have several differences in their electric activities, but it can be difficult to determine their types based only on visual appearances. As Raman spectroscopy does not require any staining or labeling, its use in live neuronal cells is possible. In the present study, we used primary neurons obtained from rat cerebral cortexes, which we cultured on a glial feeder layered culturing dish for 15 days. The Raman spectra of the intact neurons on the dish were obtained; the neurons were then immunostained and their types determined. Partial least squares regression-discriminant analysis (PLSR-DA) was employed for classification of the excitatory and inhibitory neurons. The results demonstrated a high feasibility for use of Raman spectroscopy for discrimination analysis of inhibitory and excitatory neurons in a nondestructive manner.

Graphical abstract: Discrimination analysis of excitatory and inhibitory neurons using Raman spectroscopy

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Publication details

The article was received on 10 Jan 2018, accepted on 13 May 2018 and first published on 24 May 2018


Article type: Paper
DOI: 10.1039/C8AN00051D
Citation: Analyst, 2018,143, 2889-2894
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    Discrimination analysis of excitatory and inhibitory neurons using Raman spectroscopy

    K. Hashimoto, B. B. Andriana, H. Matsuyoshi and H. Sato, Analyst, 2018, 143, 2889
    DOI: 10.1039/C8AN00051D

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