Literature DB >> 31105899

Advances in Nanomaterials for Brain Microscopy.

Jackson Travis Del Bonis-O'Donnell1, Linda Chio1, Gabriel F Dorlhiac1, Ian R McFarlane1, Markita P Landry1,2,3,4.   

Abstract

Microscopic imaging of the brain continues to reveal details of its structure, connectivity, and function. To further improve our understanding of the emergent properties and functions of neural circuits, new methods are necessary to directly visualize the relationship between brain structure, neuron activity, and neurochemistry. Advances in engineering the chemical and optical properties of nanomaterials concurrent with developments in deep-tissue microscopy hold tremendous promise for overcoming the current challenges associated with in vivo brain imaging, particularly for imaging the brain through optically-dense brain tissue, skull, and scalp. To this end, developments in nanomaterials offer much promise toward implementing tunable chemical functionality for neurochemical targeting and sensing, and fluorescence stability for long-term imaging. In this review, we summarize current brain microscopy methods and describe the diverse classes of nanomaterials recently leveraged as contrast agents and functional probes for microscopic optical imaging of the brain.

Entities:  

Year:  2018        PMID: 31105899      PMCID: PMC6516768          DOI: 10.1007/s12274-018-2145-2

Source DB:  PubMed          Journal:  Nano Res        ISSN: 1998-0000            Impact factor:   8.897


  4 in total

Review 1.  Near-Infrared-II Molecular Dyes for Cancer Imaging and Surgery.

Authors:  Shoujun Zhu; Rui Tian; Alexander L Antaris; Xiaoyuan Chen; Hongjie Dai
Journal:  Adv Mater       Date:  2019-04-26       Impact factor: 30.849

2.  Histopathological study of the maternal exposure to the biologically produced silver nanoparticles on different organs of the offspring.

Authors:  Parastoo Pourali; Mahnaz Nouri; Faezeh Ameri; Tana Heidari; Niloufar Kheirkhahan; Sepideh Arabzadeh; Behrooz Yahyaei
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2020-01-03       Impact factor: 3.000

3.  Supervised learning model predicts protein adsorption to carbon nanotubes.

Authors:  Nicholas Ouassil; Rebecca L Pinals; Jackson Travis Del Bonis-O'Donnell; Jeffrey W Wang; Markita P Landry
Journal:  Sci Adv       Date:  2022-01-07       Impact factor: 14.136

4.  Fluorescent sp3 Defect-Tailored Carbon Nanotubes Enable NIR-II Single Particle Imaging in Live Brain Slices at Ultra-Low Excitation Doses.

Authors:  Amit Kumar Mandal; Xiaojian Wu; Joana S Ferreira; Mijin Kim; Lyndsey R Powell; Hyejin Kwon; Laurent Groc; YuHuang Wang; Laurent Cognet
Journal:  Sci Rep       Date:  2020-03-24       Impact factor: 4.379

  4 in total

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