Coherent Anti-Stokes Raman Spectroscopy (CARS) Application for Imaging Myelination in Brain Slices.
Coherent Anti-Stokes Raman Spectroscopy (CARS) Application for Imaging Myelination in Brain Slices.
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相干抗斯托克斯拉曼光谱(CARS)在脑切片髓鞘形成成像中的应用。
DOI:
10.3791/64013
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发表时间:
2022-07-22
影响因子:
1.2
通讯作者:
Klug, Achim
中科院分区:
文献类型:
--
作者:
McCullagh, Elizabeth A.;Poleg, Shani;Stich, Dominik;Moldovan, Radu;Klug, Achim
Coherent anti-Stokes Raman spectroscopy (CARS) is a technique classically employed by chemists and physicists to produce a coherent signal of signature vibrations of molecules. However, these vibrational signatures are also characteristic of molecules within anatomical tissue such as the brain, making it increasingly useful and applicable for Neuroscience applications. For example, CARS can measure lipids by specifically exciting chemical bonds within these molecules, allowing for quantification of different aspects of tissue, such as myelin involved in neurotransmission. In addition, compared to other techniques typically used to quantify myelin, CARS can also be set up to be compatible with immunofluorescent techniques, allowing for co-labeling with other markers such as sodium channels or other components of synaptic transmission. Myelination changes as an inherently important mechanism in demyelinating diseases such as multiple sclerosis or other neurological conditions such as Fragile X Syndrome or autism spectrum disorders is an emerging area of research. In conclusion, CARS can be utilized in innovative ways to answer pressing questions in Neuroscience and provide evidence for underlying mechanisms related to many different neurological conditions. Visualizing myelination is an important goal for many researchers studying the nervous system. CARS is a technique that is compatible with immunofluorescence that can natively image lipids within tissue such as the brain illuminating specialized structures such as myelin.
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影响因子:
25
作者:
Barak, Boaz;Zhang, Zicong;Feng, Guoping
通讯作者:
Feng, Guoping
DOI:
10.3791/3564
发表时间:
2012-07-30
期刊:
Journal of visualized experiments : JoVE
影响因子:
--
作者:
Gage, Gregory J;Kipke, Daryl R;Shain, William
通讯作者:
Shain, William
影响因子:
3.5
作者:
Pacey, Laura K. K.;Xuan, Ingrid C. Y.;Hampson, David R.
通讯作者:
Hampson, David R.
影响因子:
4.3
作者:
Lucas A;Poleg S;Klug A;McCullagh EA
通讯作者:
McCullagh EA
影响因子:
6.2
作者:
Bu, J;Banki, A;Nishiyama, A
通讯作者:
Nishiyama, A