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Mosaic microtomography of a full mouse brain with sub-micron pixel size

文献类型： 会议论文

第一作者： Griffin Rodgers

作者： Griffin Rodgers 1 ; Christine Tanner 1 ; Georg Schulz 2 ; Timm Weitkamp 3 ; Mario Scheel 3 ; Marta Girona Alarcon 4 ; Vartan Kurtcuoglu 5 ; Bert Mueller 1 ;

作者机构： 1.Biomaterials Science Center, Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland, Biomaterials Science Center, Department of Clinical Research, University Hospital Basel, 4031 Basel, Switzerland

2.Biomaterials Science Center, Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland, Biomaterials Science Center, Department of Clinical Research, University Hospital Basel, 4031 Basel, Switzerland, Core Facility Micro- and Nanotomography, Department of Biomedical Engineering, University of Basel, 14, 4123 Allschwil, Switzerland

3.Synchrotron SOLEIL, 91190 Saint-Aubin, France

4.The Interface Group, Institute of Physiology, University of Zurich, 8057 Zurich, Switzerland

5.The Interface Group, Institute of Physiology, University of Zurich, 8057 Zurich, Switzerland, National Centre of Competence in Research, Kidney.CH, 8057 Zurich, Switzerland

关键词： X-ray virtual histology;field-of-view;hierarchical imaging;mosaic;mouse brain;synchrotron radiation;brain atlas;neuroimaging

会议名称： Conference on developments in X-ray tomography

主办单位：

页码： 122421L.1-122421L.13

摘要： Mammalian brains are extremely complex: a mouse brain contains one hundred million neurons. Mapping an entire brain's three-dimensional cytoarchitecture from the nano- to centimeter-scale is a monumental challenge. For standard microtomography with sub-μm pixel size, reconstructed volume is limited to about a few mm~3. For full brain mapping, even for the mouse brain with volume of 450 mm~3, the field-of-view must be significantly increased in all three dimensions. We demonstrate mosaic tiling to extend imaged volume by 400× and a dedicated pipeline to process these tera-voxel sized datasets. Here, an entire mouse brain was imaged with 0.65 μm-wide voxels. The datasets, which are 6 TB in size at 16-bit depth, contain a wealth of microanatomical information but present challenges for registration and segmentation.

分类号： r312

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