3D BrainCV: Simultaneous visualization and analysis of cells and capillaries in a whole mouse brain with one-micron voxel resolution

Systematic cellular and vascular configurations are essential for understanding fundamental brain anatomy and metabolism. We demonstrated a 3D brainwide cellular and vascular (called 3D BrainCV) visualization and quantitative protocol for a whole mouse brain. We developed a modified Nissl staining method that quickly labeled the cells and blood vessels simultaneously in an entire mouse brain. Terabytes 3D datasets of the whole mouse brains, with unprecedented details of both individual cells and blood vessels, including capillaries, were simultaneously imaged at 1-μm voxel resolution using micro-optical sectioning tomography (MOST). For quantitative analysis, we proposed an automatic image-processing pipeline to perform brainwide vectorization and analysis of cells and blood vessels. Six representative brain regions from the cortex to the deep, including FrA, M1, PMBSF, V1, striatum, and amygdala, and six parameters, including cell number density, vascular length density, fractional vascular volume, distance from the cells to the nearest microvessel, microvascular length density, and fractional microvascular volume, had been quantitatively analyzed. The results showed that the proximity of cells to blood vessels was linearly correlated with vascular length density, rather than the cell number density. The 3D BrainCV made overall snapshots of the detailed picture of the whole brain architecture, which could be beneficial for the state comparison of the developing and diseased brain.

[1]  Mark J. West,et al.  Stereological methods for estimating the total number of neurons and synapses: issues of precision and bias , 1999, Trends in Neurosciences.

[2]  Arvind P Pathak,et al.  Vascular Phenotyping of Brain Tumors using Magnetic Resonance Microscopy (μMRI) , 2011 .

[3]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[4]  Ioannis Grivas,et al.  Areal and laminar variations in the vascularity of the visual, auditory, and entorhinal cortices of the developing rat brain. , 2005, Brain research. Developmental brain research.

[5]  Yousef Al-Kofahi,et al.  Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images , 2010, IEEE Transactions on Biomedical Engineering.

[6]  D. Attwell,et al.  Glial and neuronal control of brain blood flow , 2022 .

[7]  Qingming Luo,et al.  High resolution in vivo micro-CT with flat panel detector based on amorphous silicon. , 2010, Journal of X-ray science and technology.

[8]  W Ding,et al.  Automatic macroscopic density artefact removal in a Nissl‐stained microscopic atlas of whole mouse brain , 2013, Journal of microscopy.

[9]  E. Hamel,et al.  The neurovascular unit in brain function and disease , 2011, Acta physiologica.

[10]  Francis K. H. Quek,et al.  A review of vessel extraction techniques and algorithms , 2004, CSUR.

[11]  John G. Sled,et al.  Measurement of cerebral blood volume in mouse brain regions using micro-computed tomography , 2009, NeuroImage.

[12]  Steffen Prohaska,et al.  Large-Scale Automated Histology in the Pursuit of Connectomes , 2011, The Journal of Neuroscience.

[13]  Raddy L. Ramos,et al.  Demonstrating Cerebral Vascular Networks: A Comparison of Methods for the Teaching Laboratory , 2008, Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience.

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

[15]  D. Kleinfeld,et al.  The cortical angiome: an interconnected vascular network with noncolumnar patterns of blood flow , 2013, Nature Neuroscience.

[16]  Eugene W. Myers,et al.  Proof-editing is the Bottleneck Of 3D Neuron Reconstruction: The Problem and Solutions , 2011, Neuroinformatics.

[17]  C. Iadecola,et al.  Neurovascular coupling in the normal brain and in hypertension, stroke, and Alzheimer disease. , 2006, Journal of applied physiology.

[18]  R. C Cannon,et al.  An on-line archive of reconstructed hippocampal neurons , 1998, Journal of Neuroscience Methods.

[19]  Johannes Reichold,et al.  The microvascular system of the striate and extrastriate visual cortex of the macaque. , 2008, Cerebral cortex.

[20]  Hanchuan Peng,et al.  Automatic reconstruction of 3D neuron structures using a graph-augmented deformable model , 2010, Bioinform..

[21]  Yoonsuck Choe,et al.  Specimen Preparation, Imaging, and Analysis Protocols for Knife-edge Scanning Microscopy , 2011, Journal of visualized experiments : JoVE.

[22]  C. Iadecola Neurovascular regulation in the normal brain and in Alzheimer's disease , 2004, Nature Reviews Neuroscience.

[23]  K. Masamoto,et al.  Successive depth variations in microvascular distribution of rat somatosensory cortex , 2004, Brain Research.

[24]  W. Denk,et al.  The Big and the Small: Challenges of Imaging the Brain’s Circuits , 2011, Science.

[25]  H. Dodt,et al.  3D-reconstruction of blood vessels by ultramicroscopy , 2009, Organogenesis.

[26]  R. Williams,et al.  Mapping genes that modulate mouse brain development: a quantitative genetic approach. , 2000, Results and problems in cell differentiation.

[27]  Kevin L. Briggman,et al.  Structural neurobiology: missing link to a mechanistic understanding of neural computation , 2012, Nature Reviews Neuroscience.

[28]  J. Sanes,et al.  Ome sweet ome: what can the genome tell us about the connectome? , 2008, Current Opinion in Neurobiology.

[29]  Hanchuan Peng,et al.  V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets , 2010, Nature Biotechnology.

[30]  Johannes E. Schindelin,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.

[31]  Frank Bradke,et al.  Three-dimensional imaging of solvent-cleared organs using 3DISCO , 2012, Nature Protocols.

[32]  David Kleinfeld,et al.  The smallest stroke: occlusion of one penetrating vessel leads to infarction and a cognitive deficit , 2012, Nature Neuroscience.

[33]  John G. Sled,et al.  Three-dimensional cerebral vasculature of the CBA mouse brain: A magnetic resonance imaging and micro computed tomography study , 2007, NeuroImage.

[34]  Arvind P. Pathak,et al.  Three-Dimensional Imaging of the Mouse Neurovasculature with Magnetic Resonance Microscopy , 2011, PloS one.

[35]  Daniel Razansky,et al.  Anatomical and microstructural imaging of angiogenesis , 2010, European Journal of Nuclear Medicine and Molecular Imaging.

[36]  K. Amunts,et al.  Centenary of Brodmann's Map — Conception and Fate , 2022 .

[37]  D. Kleinfeld,et al.  Correlations of Neuronal and Microvascular Densities in Murine Cortex Revealed by Direct Counting and Colocalization of Nuclei and Vessels , 2009, The Journal of Neuroscience.

[38]  C. Iadecola,et al.  Glial regulation of the cerebral microvasculature , 2007, Nature Neuroscience.

[39]  S. Laughlin,et al.  An Energy Budget for Signaling in the Grey Matter of the Brain , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[40]  Douglas B. Ehlenberger,et al.  New techniques for imaging, digitization and analysis of three-dimensional neural morphology on multiple scales , 2005, Neuroscience.

[41]  George Paxinos,et al.  The Mouse Brain in Stereotaxic Coordinates , 2001 .

[42]  Andre Obenaus,et al.  The vascular neural network—a new paradigm in stroke pathophysiology , 2012, Nature Reviews Neurology.

[43]  Charles Watson,et al.  The Mouse Nervous System. , 2012 .

[44]  Qingming Luo,et al.  Modified Golgi-Cox method for micrometer scale sectioning of the whole mouse brain , 2011, Journal of Neuroscience Methods.

[45]  T A Woolsey,et al.  Increased brain capillaries in chronic hypoxia. , 1999, Journal of applied physiology.

[46]  T. Powell,et al.  The basic uniformity in structure of the neocortex. , 1980, Brain : a journal of neurology.

[47]  John Keyser,et al.  Visualization of Cellular and Microvascular Relationships , 2008, IEEE Transactions on Visualization and Computer Graphics.

[48]  Håkan Johansson,et al.  Modern Techniques in Neuroscience Research , 1999, Springer Berlin Heidelberg.

[49]  H. Duvernoy,et al.  Cortical blood vessels of the human brain , 1981, Brain Research Bulletin.

[50]  N. Kasthuri,et al.  Long-term dendritic spine stability in the adult cortex , 2002, Nature.

[51]  T A Woolsey,et al.  Neuronal units linked to microvascular modules in cerebral cortex: response elements for imaging the brain. , 1996, Cerebral cortex.

[52]  B. Weber,et al.  Topology and hemodynamics of the cortical cerebrovascular system , 2012, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[53]  Vivien Marx,et al.  High-throughput anatomy: Charting the brain's networks , 2012, Nature.

[54]  Alfredo Rodriguez,et al.  Three-dimensional neuron tracing by voxel scooping , 2009, Journal of Neuroscience Methods.

[55]  Philipp Schneider,et al.  Hierarchical microimaging for multiscale analysis of large vascular networks , 2006, NeuroImage.

[56]  Shaoqun Zeng,et al.  Continuously tracing brain-wide long-distance axonal projections in mice at a one-micron voxel resolution , 2013, NeuroImage.

[57]  B. S. Manjunath,et al.  Biological imaging software tools , 2012, Nature Methods.

[58]  S. Herculano‐Houzel,et al.  Cellular scaling rules for rodent brains , 2006, Proceedings of the National Academy of Sciences.