Advanced fluorescence microscopy for in vivo imaging of neuronal activity
Year: 2019
Authors: Sancataldo G., Silvestri L., Allegra Mascaro LA., Sacconi L., Pavone FS.
Autors Affiliation: European Lab Nonlinear Spect, Via Nello Carrara 1, I-50019 Sesto Fiorentino Fi, Italy; Univ Florence, Dept Phys & Astron, Via Giovanni Sansone 1, I-50019 Sesto Fiorentino Fi, Italy; CNR, Ist Nazl Ott, Largo Enrico Fermi 6, I-50125 Firenze Fi, Italy; CNR, Ist Neurosci, Via Giuseppe Moruzzi 1, I-56124 Pisa Pi, Italy
Abstract: Brain function emerges from the coordinated activity, over time, of large neuronal populations placed in different brain regions. Understanding the relationships of these specific areas and disentangling the contributions of individual neurons to overall function remain central goals for neuroscience. In this scenario, fluorescence microscopy has been proved as the tool of choice for in vivo recording of brain activity. Optical advances combined with genetically encoded indicators allow a large flexibility in terms of spatiotemporal resolution and field of view while keeping invasiveness in living animals to a minimum. Here we describe the latest advancements in the field of linear and nonlinear optical microscopy with special attention to the exploration of brain functionality of model animals. The present review aims to guide the reader through the main optical systems in the field toward future directions for in vivo microscopy applications. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Journal/Review: OPTICA
Volume: 6 (6) Pages from: 758 to: 765
KeyWords: LIGHT-SHEET MICROSCOPY; FIELD-OF-VIEW; CELLULAR-RESOLUTION; ADAPTIVE OPTICS; MULTIPHOTON MICROSCOPY; GRID CELLS; HIGH-SPEED; LONG-TERM; 2-PHOTON; DEEPDOI: 10.1364/OPTICA.6.000758Citations: 16data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2021-11-28References taken from IsiWeb of Knowledge: (subscribers only)Connecting to view paper tab on IsiWeb: Click hereConnecting to view citations from IsiWeb: Click here
