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Rubyred mica sheets

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RubyRed Mica Sheets are a type of natural mineral substrate material. They are composed of thin, flexible sheets of mica with a reddish-brown color. The sheets are available in various sizes and thicknesses to suit different applications.

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2 protocols using rubyred mica sheets

1

Atomic Force Microscopy of α-Synuclein Fibrils

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Atomic force microscopy (AFM) imaging of α‐syn fibrils was performed as previously described (Plotegher, Greggio, Bisaglia, & Bubacco, 2014) in a “PeakForce tapping” mode with Scanasyst‐Air probes (Bruker, Mannheim, Germany) on a Nanoscope V system equipped with a Multimode head and a type‐E piezoelectric scanner (Bruker, Mannheim, Germany). Ten microliters of sample were deposited on freshly cleaved mica (RubyRed Mica Sheets, Electron Microscopy Sciences, Fort Washington, USA) and left to adsorb for 5 min at room temperature (∼20°C). The mica surface was then rinsed with ∼500 μl of MilliQ H2O (Millipore Simplicity) at the same temperature and dried with dry nitrogen.
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2

Morphological Characterization of Tellurium Nanoparticles

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To characterize the morphology of TeNPs, 5 µl aliquots of purified suspensions were diluted (10x) with 45 µl of ultrapure water and left to equilibrate at room temperature for 10 min. 10 µl of the diluted sample were then deposited on freshly cleaved mica (RubyRed Mica Sheets, Electron Microscopy Sciences, Fort Wash-ington, USA) and left to adsorb for 5 min. The sample was then rinsed with 400 µl of ultrapure water and dried with a gentle nitrogen flow. AFM imaging was performed on a Multimode 8 microscope equipped with a Nanoscope V controller and a type J piezoelectric scanner (Bruker, USA). Samples were scanned in air using Peak Force Tapping mode with Scanasyst-Air probes (Bruker, USA). We took special care to obtain images in which the met-alloid nanoparticles appeared well spread and isolated on the surface rather than overlapped and tangled. Raw images were first processed to remove background nonlinearity ( flattening) using Gwyddion v2.40 (http://gwyddion.net/). A threshold mask was then used to exclude the flat, empty areas of the images, singling out the aggregates for successive morphometric analysis. TeNPs lengths were evaluated by simply measuring the distance between the two furthest points in the original mask.
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