Kalchenko, V.; Sdobnov, A.; Meglinski, I.; Kuznetsov, Y.; Molodij, G.; Harmelin, A. A Robust Method for Adjustment of Laser Speckle Contrast Imaging during Transcranial Mouse Brain Visualization. Photonics 2019, 6, 80. https://doi.org/10.3390/photonics6030080
A robust method for adjustment of laser speckle contrast imaging during transcranial mouse brain visualization
|Author:||Kalchenko, Vyacheslav1; Sdobnov, Anton2; Meglinski, Igor2,3,4,5,6;|
1Department of Veterinary Resources,Weizmann Institute of Science, 76100 Rehovot, Israel
2Optoelectronics and Measurement Techniques Laboratory, University of Oulu, 90570 Oulu, Finland
3Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, 634050 Tomsk, Russia
4Institute of Engineering Physics for Biomedicine (PhysBio), National Research Nuclear University (MEPhI), 115409 Moscow, Russia
5Aston Institute of Materials Research, School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
6School of Life and Health Sciences, Aston University, Birmingham B4 7ET, UK
|Online Access:||PDF Full Text (PDF, 1.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019081624405
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2019-08-16
Laser speckle imaging (LSI) is a well-known and useful approach for the non-invasive visualization of flows and microcirculation localized in turbid scattering media, including biological tissues (such as brain vasculature, skin capillaries etc.). Despite an extensive use of LSI for brain imaging, the LSI technique has several critical limitations. One of them is associated with inability to resolve a functionality of vessels. This limitation also leads to the systematic error in the quantitative interpretation of values of speckle contrast obtained for different vessel types, such as sagittal sinus, arteries, and veins. Here, utilizing a combined use of LSI and fluorescent intravital microscopy (FIM), we present a simple and robust method to overcome the limitations mentioned above for the LSI approach. The proposed technique provides more relevant, abundant, and valuable information regarding perfusion rate ration between different types of vessels that makes this method highly useful for in vivo brain surgical operations.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
114 Physical sciences
The research of Vyacheslav Kalchenko was supported by The Henry Chanoch Krenter Institute for
Biomedical Imaging and Genomics (StaffScientists grant program). Igor Meglinski also acknowledges partial support from the Academy of Finland (project 326204), NATO (project SPS G5147), MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005), and the National Research Tomsk State University Academic D.I. Mendeleev Fund Program. Anton Sdobnov was supported by the Finnish Cultural Foundation (00180998) grant.
|Academy of Finland Grant Number:||
326204 (Academy of Finland Funding decision)
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).