Open Access
| Issue |
BIO Web Conf.
Volume 59, 2023
2023 5th International Conference on Biotechnology and Biomedicine (ICBB 2023)
|
|
|---|---|---|
| Article Number | 03017 | |
| Number of page(s) | 6 | |
| Section | Clinical Trials and Medical Device Monitoring | |
| DOI | https://doi.org/10.1051/bioconf/20235903017 | |
| Published online | 08 May 2023 | |
- Luo, L., Principles of neurobiology. 2015, New York: Garland Science. [Google Scholar]
- Ascoli, G.A., B.X. Huo, and P.P. Mitra, Sizing up whole-brain neuronal tracing. Science Bulletin, 2022. 67(9): p. 883–884. [CrossRef] [PubMed] [Google Scholar]
- Deco, G., et al., Rare long-range cortical connections enhance human information processing. Current Biology, 2021. 31(20): p. 4436-+. [CrossRef] [PubMed] [Google Scholar]
- Mueller, S., et al., Individual Variability in Functional Connectivity Architecture of the Human Brain. Neuron, 2013. 77(3): p. 586–595. [CrossRef] [PubMed] [Google Scholar]
- Benabdallah, F.Z., et al., An autism spectrum disorder adaptive identification based on the Elimination of brain connections: a proof of long- range underconnectivity. Soft Computing, 2022. 26(10): p. 4701–4711. [CrossRef] [Google Scholar]
- Brodal, P., The central nervous system: structure and function. 2004, New York: oxford university Press. [Google Scholar]
- Gong, H., et al., Continuously tracing brain-wide long-distance axonal projections in mice at a one- micron voxel resolution. Neuroimage, 2013. 74: p. 87–98. [CrossRef] [PubMed] [Google Scholar]
- Peng, H.C., et al., Morphological diversity of single neurons in molecularly defined cell types. Nature, 2021. 598(7879): p. 174-+. [CrossRef] [PubMed] [Google Scholar]
- Gao, L., et al., Single-neuron projectome of mouse prefrontal cortex. Nature Neuroscience, 2022. 25(4): p. 515-+. [CrossRef] [PubMed] [Google Scholar]
- Belle, M., et al., A Simple Method for 3D Analysis of Immunolabeled Axonal Tracts in a Transparent Nervous System. Cell Reports, 2014. 9(4): p. 1191–1201. [CrossRef] [PubMed] [Google Scholar]
- Zhang, Z.Z., et al., Multi-Scale Light-Sheet Fluorescence Microscopy for Fast Whole Brain Imaging. Frontiers in Neuroanatomy, 2021. 15. [Google Scholar]
- Zhou, C., et al., Continuous subcellular resolution three-dimensional imaging on intact macaque brain. Science Bulletin, 2022. 67(1): p. 85–96. [CrossRef] [PubMed] [Google Scholar]
- Tanaka, T., et al., Large-scale electron microscopic volume imaging of interfascicular oligodendrocytes in the mouse corpus callosum. Glia, 2021. 69(10): p. 2488–2502. [CrossRef] [PubMed] [Google Scholar]
- Hayashi, S., et al., Correlative light and volume electron microscopy to study brain development. Microscopy, 2023. [PubMed] [Google Scholar]
- Faitg, J., et al., 3D neuronal mitochondrial morphology in axons, dendrites, and somata of the aging mouse hippocampus. Cell Reports, 2021. 36(6). [Google Scholar]
- Steyer, A.M., et al., Pathology of myelinated axons in the PLP-deficient mouse model of spastic paraplegia type 2 revealed by volume imaging using focused ion beam-scanning electron microscopy. Journal of Structural Biology, 2020. 210(2). [Google Scholar]
- Parlanti, P., et al., Axonal debris accumulates in corneal epithelial cells after intraepithelial corneal nerves are damaged: A focused Ion Beam Scanning Electron Microscopy (FIB-SEM) study. Experimental Eye Research, 2020. 194. [Google Scholar]
- Steyer, A.M., et al., Focused ion beam-scanning electron microscopy links pathological myelin outfoldings to axonal changes in mice lacking Plp1 or Mag. Glia, 2023. [PubMed] [Google Scholar]
- Kuan, A.T., et al., Dense neuronal reconstruction through X-ray holographic nano-tomography. Nature Neuroscience, 2020. 23(12): p. 1637–U243. [CrossRef] [PubMed] [Google Scholar]
- Busse, M., et al., Multi-Scale Investigation of Human Renal Tissue in Three Dimensions. Ieee Transactions on Medical Imaging, 2022. 41(12): p. 3489–3497. [CrossRef] [PubMed] [Google Scholar]
- Funke, J., et al., Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction. Ieee Transactions on Pattern Analysis and Machine Intelligence, 2019. 41(7): p. 1669–1680. [CrossRef] [PubMed] [Google Scholar]
- Ronneberger, O., P. Fischer, and T. Brox. U-Net: Convolutional Networks for Biomedical Image Segmentation. in 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2015. Munich, GERMANY. [Google Scholar]
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