Literature DB >> 16715054

In vivo imaging of the diseased nervous system.

Thomas Misgeld1, Martin Kerschensteiner.   

Abstract

In vivo microscopy is an exciting tool for neurological research because it can reveal how single cells respond to damage of the nervous system. This helps us to understand how diseases unfold and how therapies work. Here, we review the optical imaging techniques used to visualize the different parts of the nervous system, and how they have provided fresh insights into the aetiology and therapeutics of neurological diseases. We focus our discussion on five areas of neuropathology (trauma, degeneration, ischaemia, inflammation and seizures) in which in vivo microscopy has had the greatest impact. We discuss the challenging issues in the field, and argue that the convergence of new optical and non-optical methods will be necessary to overcome these challenges.

Entities:  

Mesh:

Year:  2006        PMID: 16715054     DOI: 10.1038/nrn1905

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  63 in total

Review 1.  Two-photon microscopy as a tool to study blood flow and neurovascular coupling in the rodent brain.

Authors:  Andy Y Shih; Jonathan D Driscoll; Patrick J Drew; Nozomi Nishimura; Chris B Schaffer; David Kleinfeld
Journal:  J Cereb Blood Flow Metab       Date:  2012-02-01       Impact factor: 6.200

2.  Label-free and highly sensitive optical imaging of detailed microcirculation within meninges and cortex in mice with the cranium left intact.

Authors:  Yali Jia; Lin An; Ruikang K Wang
Journal:  J Biomed Opt       Date:  2010 May-Jun       Impact factor: 3.170

3.  Long-term in vivo imaging of normal and pathological mouse spinal cord with subcellular resolution using implanted glass windows.

Authors:  Keith K Fenrich; Pascal Weber; Mélanie Hocine; Maxime Zalc; Geneviève Rougon; Franck Debarbieux
Journal:  J Physiol       Date:  2012-05-28       Impact factor: 5.182

4.  In vivo coherent anti-Stokes Raman scattering imaging of sciatic nerve tissue.

Authors:  T B Huff; J-X Cheng
Journal:  J Microsc       Date:  2007-02       Impact factor: 1.758

5.  Automated measurement of nerve fiber density using line intensity scan analysis.

Authors:  Aaron Sathyanesan; Tatsuya Ogura; Weihong Lin
Journal:  J Neurosci Methods       Date:  2012-02-28       Impact factor: 2.390

6.  Development of input connections in neural cultures.

Authors:  Jordi Soriano; María Rodríguez Martínez; Tsvi Tlusty; Elisha Moses
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-04       Impact factor: 11.205

7.  Multimodal Nonlinear Optical Microscopy and Applications to Central Nervous System Imaging.

Authors:  Terry B Huff; Yunzhou Shi; Yan Fu; Haifeng Wang; Ji-Xin Cheng
Journal:  IEEE J Sel Top Quantum Electron       Date:  2008-01-01       Impact factor: 4.544

Review 8.  In vivo fluorescence microscopy: lessons from observing cell behavior in their native environment.

Authors:  Myunghwan Choi; Sheldon J J Kwok; Seok Hyun Yun
Journal:  Physiology (Bethesda)       Date:  2015-01

9.  Complex differential variance algorithm for optical coherence tomography angiography.

Authors:  Ahhyun S Nam; Isabel Chico-Calero; Benjamin J Vakoc
Journal:  Biomed Opt Express       Date:  2014-10-07       Impact factor: 3.732

10.  Longitudinal in vivo two-photon fluorescence imaging.

Authors:  Sarah E Crowe; Graham C R Ellis-Davies
Journal:  J Comp Neurol       Date:  2014-06-01       Impact factor: 3.215

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