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Paolo Orsini

Researcher at University of Pisa

Publications -  28
Citations -  437

Paolo Orsini is an academic researcher from University of Pisa. The author has contributed to research in topics: Scanning ion-conductance microscopy & Pipette. The author has an hindex of 12, co-authored 26 publications receiving 398 citations.

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Two-photon polymerization of sub-micrometric patterned surfaces: investigation of cell-substrate interactions and improved differentiation of neuron-like cells.

TL;DR: This work designed, prepared, and characterized substrates based on aligned ridges for the promotion of axonal outgrowth and guidance, and showed as submicrometric structures fabricated by DLW can be used as a useful tool for the study of the axon mechanobiology.
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Dysfunction of the magnocellular stream in Alzheimer's disease evaluated by pattern electroretinograms and visual evoked potentials.

TL;DR: The hypothesis that the impairment of the PERGs and VEPs arising from the magnocellular streams of visual processing may indicate a primary dysfunction of the M-pathways in AD is supported.
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Weak hydrostatic forces in far-scanning ion conductance microscopy used to guide neuronal growth cones.

TL;DR: The mechanical interaction occurring between the pipette tip and the sample during SICM operation is investigated and it is indicated that, operating in far-scanning mode with current decrease values below 2%, no force can be detected, provided that the level of the electrolyte filling the pipettes is equal to that determined by the capillary tension.
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Can imagery become reality

TL;DR: Both Highs and Lows having their face forward and reporting high vividness of imagery experienced anaesthesia and reduced their VS reflex amplitude in the frontal plane, while only Highs changed the plane of body sway according to the imagined head rotation that is from the frontal to the sagittal one.
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Use of scanning ion conductance microscopy to guide and redirect neuronal growth cones.

TL;DR: Scanning ion conductance microscopy is a promising way to develop networks of identified neurons as well as link them with artificial structures and demonstrates effective growth cone remodelling using a 5% criterion (near-scanning).