Scattering Compensation for Deep Brain Microscopy: The Long Road to Get Proper Images
Multiphoton microscopy is the most widespread method for preclinical brain imaging when sub-micrometer resolution is required. Nonetheless, even in the case of optimal experimental conditions, only a few hundred micrometers under the brain surface can be imaged by multiphoton microscopy. The main li...
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doaj-6f6d587b237f49338ddf465c82377ab52020-11-25T03:08:36ZengFrontiers Media S.A.Frontiers in Physics2296-424X2020-02-01810.3389/fphy.2020.00026504687Scattering Compensation for Deep Brain Microscopy: The Long Road to Get Proper ImagesPaolo Pozzi0Daniela Gandolfi1Daniela Gandolfi2Carlo Adolfo Porro3Albertino Bigiani4Jonathan Mapelli5Dipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Centro di Neuroscienze e Neurotecnologie, Università di Modena e Reggio Emilia, Modena, ItalyDipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Centro di Neuroscienze e Neurotecnologie, Università di Modena e Reggio Emilia, Modena, ItalyDipartimento di Scienze del Comportamento e del Sistema Nervoso, Università di Pavia, Pavia, ItalyDipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Centro di Neuroscienze e Neurotecnologie, Università di Modena e Reggio Emilia, Modena, ItalyDipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Centro di Neuroscienze e Neurotecnologie, Università di Modena e Reggio Emilia, Modena, ItalyDipartimento di Scienze Biomediche, Metaboliche e Neuroscienze, Centro di Neuroscienze e Neurotecnologie, Università di Modena e Reggio Emilia, Modena, ItalyMultiphoton microscopy is the most widespread method for preclinical brain imaging when sub-micrometer resolution is required. Nonetheless, even in the case of optimal experimental conditions, only a few hundred micrometers under the brain surface can be imaged by multiphoton microscopy. The main limitation preventing the acquisition of images from deep brain structures is the random light scattering which, until recently, was considered an unsurmountable obstacle. When in 2007 a breakthrough work by Vellekoop and Mosk [1] proved it is indeed possible to compensate for random scattering by using high resolution phase modulators, the neuro-photonics community started chasing the dream of a multiphoton microscopy capable of reaching arbitrary depths within the brain. Unfortunately, more than 10 years later, despite a massive improvement of technologies for scattering compensation in terms of speed, performances and reliability, clear images from deep layers of biological tissues are still lacking. In this work, we review recent technological and methodological advances in the field of multiphoton microscopy analyzing the big issue of scattering compensation. We will highlight the limits hampering image acquisition, and we will try to analyze the road scientists must tackle to target one of the most challenging issue in the field of biomedical imaging.https://www.frontiersin.org/article/10.3389/fphy.2020.00026/fulltwo photon microscopyscattering compensationin vivo brain imagingadaptive optics in biomedical imagingsubcellular and synaptic imagingneurophotonics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Paolo Pozzi Daniela Gandolfi Daniela Gandolfi Carlo Adolfo Porro Albertino Bigiani Jonathan Mapelli |
spellingShingle |
Paolo Pozzi Daniela Gandolfi Daniela Gandolfi Carlo Adolfo Porro Albertino Bigiani Jonathan Mapelli Scattering Compensation for Deep Brain Microscopy: The Long Road to Get Proper Images Frontiers in Physics two photon microscopy scattering compensation in vivo brain imaging adaptive optics in biomedical imaging subcellular and synaptic imaging neurophotonics |
author_facet |
Paolo Pozzi Daniela Gandolfi Daniela Gandolfi Carlo Adolfo Porro Albertino Bigiani Jonathan Mapelli |
author_sort |
Paolo Pozzi |
title |
Scattering Compensation for Deep Brain Microscopy: The Long Road to Get Proper Images |
title_short |
Scattering Compensation for Deep Brain Microscopy: The Long Road to Get Proper Images |
title_full |
Scattering Compensation for Deep Brain Microscopy: The Long Road to Get Proper Images |
title_fullStr |
Scattering Compensation for Deep Brain Microscopy: The Long Road to Get Proper Images |
title_full_unstemmed |
Scattering Compensation for Deep Brain Microscopy: The Long Road to Get Proper Images |
title_sort |
scattering compensation for deep brain microscopy: the long road to get proper images |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Physics |
issn |
2296-424X |
publishDate |
2020-02-01 |
description |
Multiphoton microscopy is the most widespread method for preclinical brain imaging when sub-micrometer resolution is required. Nonetheless, even in the case of optimal experimental conditions, only a few hundred micrometers under the brain surface can be imaged by multiphoton microscopy. The main limitation preventing the acquisition of images from deep brain structures is the random light scattering which, until recently, was considered an unsurmountable obstacle. When in 2007 a breakthrough work by Vellekoop and Mosk [1] proved it is indeed possible to compensate for random scattering by using high resolution phase modulators, the neuro-photonics community started chasing the dream of a multiphoton microscopy capable of reaching arbitrary depths within the brain. Unfortunately, more than 10 years later, despite a massive improvement of technologies for scattering compensation in terms of speed, performances and reliability, clear images from deep layers of biological tissues are still lacking. In this work, we review recent technological and methodological advances in the field of multiphoton microscopy analyzing the big issue of scattering compensation. We will highlight the limits hampering image acquisition, and we will try to analyze the road scientists must tackle to target one of the most challenging issue in the field of biomedical imaging. |
topic |
two photon microscopy scattering compensation in vivo brain imaging adaptive optics in biomedical imaging subcellular and synaptic imaging neurophotonics |
url |
https://www.frontiersin.org/article/10.3389/fphy.2020.00026/full |
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