Measurement of multispectral scattering properties in mouse brain tissue.

We present the scattering properties of mouse brain using multispectral diffraction phase microscopy. Typical diffraction phase microscopy was incorporated with the broadband light source which offers the measurement of the scattering coefficient and anisotropy in the spectral range of 550-900 nm. The regional analysis was performed for both the myeloarchitecture and cytoarchitecture of the brain tissue. Our results clearly evaluate the multispectral scattering properties in the olfactory bulb and corpus callosum. The scattering coefficient measured in the corpus callosum is about four times higher than in the olfactory bulb. It also indicates that it is feasible to realize the quantitative phase microscope in near infrared region for thick brain tissue imaging.

[1]  Gabriel Popescu,et al.  Label-free, multi-scale imaging of ex-vivo mouse brain using spatial light interference microscopy , 2016, Scientific Reports.

[2]  Shuo Diao,et al.  Through-skull fluorescence imaging of the brain in a new near-infrared window , 2014, Nature Photonics.

[3]  K. Amunts,et al.  Towards multimodal atlases of the human brain , 2006, Nature Reviews Neuroscience.

[4]  S. Jacques.  Optical properties of biological tissues: a review , 2013, Physics in medicine and biology.

[5]  Hiroyuki Yokoyama,et al.  Visualizing hippocampal neurons with in vivo two-photon microscopy using a 1030 nm picosecond pulse laser , 2013, Scientific Reports.

[6]  Zhuo Wang,et al.  Tissue refractive index as marker of disease. , 2011, Journal of biomedical optics.

[7]  J. Rogers,et al.  Spatial light interference microscopy (SLIM) , 2010, IEEE Photonic Society 24th Annual Meeting.

[8]  Alan C. Evans,et al.  BigBrain: An Ultrahigh-Resolution 3D Human Brain Model , 2013, Science.

[9]  Taner Akkin,et al.  Spectral-domain optical coherence phase microscopy for quantitative phase-contrast imaging. , 2005, Optics letters.

[10]  E. Cuche,et al.  Digital holographic microscopy: a noninvasive contrast imaging technique allowing quantitative visualization of living cells with subwavelength axial accuracy. , 2005, Optics letters.

[11]  Zhuo Wang,et al.  Measuring the scattering parameters of tissues from quantitative phase imaging of thin slices. , 2011, Optics letters.

[12]  Huafeng Ding,et al.  Optical properties of tissues quantified by Fourier-transform light scattering. , 2009, Optics letters.

[13]  Zhuo Wang,et al.  Fourier transform light scattering of inhomogeneous and dynamic structures. , 2008, Physical review letters.

[14]  Wei Li,et al.  Imaging whole-brain cytoarchitecture of mouse with MRI-based quantitative susceptibility mapping , 2016, NeuroImage.

[15]  P. Marquet,et al.  Marker-free phase nanoscopy , 2013, Nature Photonics.

[16]  K. Zilles,et al.  Brain atlases - a new research tool , 1994, Trends in Neurosciences.

[17]  YongKeun Park,et al.  Label-free optical quantification of structural alterations in Alzheimer’s disease , 2016, Scientific reports.

[18]  Tan H. Nguyen,et al.  Diffraction phase microscopy: principles and applications in materials and life sciences , 2014 .

[19]  H. Seung,et al.  Serial two-photon tomography: an automated method for ex-vivo mouse brain imaging , 2011, Nature Methods.

[20]  Olaf Sporns,et al.  The Human Connectome: A Structural Description of the Human Brain , 2005, PLoS Comput. Biol..

[21]  R. Dasari,et al.  Diffraction phase microscopy for quantifying cell structure and dynamics. , 2006, Optics letters.

[22]  Frank W. Wise,et al.  In vivo three-photon microscopy of subcortical structures within an intact mouse brain , 2012, CLEO 2012.

[23]  Zhuo Wang,et al.  Scattering-phase theorem. , 2011, Optics letters.

[24]  Gabriel Popescu,et al.  Imaging red blood cell dynamics by quantitative phase microscopy. , 2008, Blood cells, molecules & diseases.

[25]  Heidi Phillips,et al.  3D micro-CT imaging of the postmortem brain , 2008, Journal of Neuroscience Methods.