Label-free Imaging of Biomolecules in Murine Brain Sections Using the 3D OrbiSIMS
A step-by-step protocol for label-free imaging of biomolecules, including lipids and neurotransmitters, in murine brain sections using the 3D OrbiSIMS is provided. The protocol describes requirements for mounting of murine brain sections, the calibration of the Orbitrap™ mass spectrometer, the set-up of the imaging acquisition, and the analysis of the hyperspectral imaging dataset to generate biomolecule distribution maps. Following the protocol, the distribution of biomolecules with molecular weights in the range from 80 to 1200 Da can be imaged at the microscale with spatial resolution < 2 μm (< 1.5 μm can be achieved) , high mass resolving power (m/Δm) > 200,000 at m/z 200 and mass accuracy < 2 ppm. The protocol may be completed within 5 hours. This protocol accompanies Passarelli et al (Nature Methods, 10.1038/nmeth.4504, published online 13 November 2017).
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Table 1 Table 1: Positive and negative secondary ions used for Orbitrap MS calibration.
Table 2 Minimum time taken to acquire an image in minutes depending on mass resolving power and image resolution.
Posted 04 Dec, 2017
Label-free Imaging of Biomolecules in Murine Brain Sections Using the 3D OrbiSIMS
Posted 04 Dec, 2017
A step-by-step protocol for label-free imaging of biomolecules, including lipids and neurotransmitters, in murine brain sections using the 3D OrbiSIMS is provided. The protocol describes requirements for mounting of murine brain sections, the calibration of the Orbitrap™ mass spectrometer, the set-up of the imaging acquisition, and the analysis of the hyperspectral imaging dataset to generate biomolecule distribution maps. Following the protocol, the distribution of biomolecules with molecular weights in the range from 80 to 1200 Da can be imaged at the microscale with spatial resolution < 2 μm (< 1.5 μm can be achieved) , high mass resolving power (m/Δm) > 200,000 at m/z 200 and mass accuracy < 2 ppm. The protocol may be completed within 5 hours. This protocol accompanies Passarelli et al (Nature Methods, 10.1038/nmeth.4504, published online 13 November 2017).