Sparse reconstruction of neurons and glial cells of layer VI somatosensory cortex of a juvenile rat
KAUST DepartmentBiological and Environmental Sciences and Engineering (BESE) Division
Visual Computing Center (VCC)
Computer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/667969
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AbstractUnderstanding the mammalian brain’s computational efficiency represent, to date, an ambitious challenge. Growing evidence suggests that the key to unveil such mystery relies in its complex energy management system. Recently, astrocytic, glycogen-derived lactate, in particular, has been shown to be pivotal for brain plasticity, learning and memory. In order to unveil how astrocytic lactate is sustaining the brain machinery, we decided to investigate the complex morphological pattern through which astrocytes are tightly connected to neurons and vasculature(the so called neuro–glia–vasculature unit, or NGV), by means of 3D reconstructions from electron microscopy. Serial block-face imaging of biological tissue at high resolution offers the chance to segment and reconstruct micro- and nano-scopical structures, to then reveal spatial features previously inaccessible or hardly imaginable with simple, single section, two dimensional images. Here, we imaged a 750,000 cubic microns volume of the somatosensory from a juvenile P14. We recognized a total of 186 cells, whose nuclei were classified as neuronal or glial, based on the appearance of the soma and the processes of the cells they belonged to. We then performed quantitative analysis on sparse reconstructions of 4 neurons, 4 astrocytes, 4 microglia and 4 pericytes to reveal morphological parameters of interest, with a particular emphasis on the neuroenergetic coupling between astrocytes and neurons.
CitationCalì, C., Kare, K., Boges, D., Agus, M., Hadwiger, M., & Magistretti, P. (2019). Sparse reconstruction of neurons and glial cells of layer VI somatosensory cortex of a juvenile rat. IBRO Reports, 6, S383–S384. doi:10.1016/j.ibror.2019.07.1217
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