Abstract:
:One of the challenges in transcranial low-level laser therapy (LLLT) is to optimally choose illumination parameters, such as wavelength. However, there is sparse study on the wavelengths comparison especially on human transcranial LLLT. Here, we employed Monte Carlo modeling and visible human phantom to compute the penetrated photon fluence distribution within cerebral cortex. By comparing the fluence distribution, penetration depth and the intensity of laser-tissue-interaction within brain among all candidate wavelengths, we found that 660, 810 nm performed much better than 980, 1064 nm with much stronger, deeper and wider photon penetration into cerebral tissue; 660 nm was shown to be the best and slightly better than 810 nm. Our computational finding was in a surprising accordance with previous LLLT-neurobehavioral studies on mice. This study not only offered quantitative comparison among wavelengths in the effect of LLLT light penetration effectiveness but also anticipated a delightful possibility of online, precise and visible optimization of LLLT illumination parameters.
journal_name
J Biophotonicsjournal_title
Journal of biophotonicsauthors
Wang P,Li Tdoi
10.1002/jbio.201800173subject
Has Abstractpub_date
2019-02-01 00:00:00pages
e201800173issue
2eissn
1864-063Xissn
1864-0648journal_volume
12pub_type
杂志文章abstract::In this work we aim to show how it is possible to exploit the second harmonic generation (SHG) signal for producing multimodal microscopic images of biological tissues. SHG microscopy constitutes an important tool for high-resolution, high-contrast, three-dimensional studies of live cell and tissue architectures. The ...
journal_title:Journal of biophotonics
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journal_title:Journal of biophotonics
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abstract::The above article from the Journal of Biophotonics, published online on 9 January 2018 in Wiley Online Library as Early View (https://onlinelibrary.wiley.com/doi/abs/10.1002/jbio.201700354), and in Volume 11, e201700354, has been retracted by agreement between the authors (Hong Zhong, Lin Lu, Yuanhao Wang, Hongxing Ya...
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journal_title:Journal of biophotonics
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journal_title:Journal of biophotonics
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journal_title:Journal of biophotonics
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journal_title:Journal of biophotonics
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journal_title:Journal of biophotonics
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