Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Cell ; 162(3): 648-61, 2015 Jul 30.
Artigo em Inglês | MEDLINE | ID: mdl-26232230

RESUMO

We describe automated technologies to probe the structure of neural tissue at nanometer resolution and use them to generate a saturated reconstruction of a sub-volume of mouse neocortex in which all cellular objects (axons, dendrites, and glia) and many sub-cellular components (synapses, synaptic vesicles, spines, spine apparati, postsynaptic densities, and mitochondria) are rendered and itemized in a database. We explore these data to study physical properties of brain tissue. For example, by tracing the trajectories of all excitatory axons and noting their juxtapositions, both synaptic and non-synaptic, with every dendritic spine we refute the idea that physical proximity is sufficient to predict synaptic connectivity (the so-called Peters' rule). This online minable database provides general access to the intrinsic complexity of the neocortex and enables further data-driven inquiries.


Assuntos
Microscopia Eletrônica de Varredura/métodos , Microtomia/métodos , Neocórtex/ultraestrutura , Neurônios/ultraestrutura , Animais , Automação , Axônios/ultraestrutura , Dendritos/ultraestrutura , Camundongos , Neocórtex/citologia , Sinapses/ultraestrutura , Vesículas Sinápticas/ultraestrutura
2.
Nature ; 545(7654): 345-349, 2017 05 18.
Artigo em Inglês | MEDLINE | ID: mdl-28489821

RESUMO

High-resolution serial-section electron microscopy (ssEM) makes it possible to investigate the dense meshwork of axons, dendrites, and synapses that form neuronal circuits. However, the imaging scale required to comprehensively reconstruct these structures is more than ten orders of magnitude smaller than the spatial extents occupied by networks of interconnected neurons, some of which span nearly the entire brain. Difficulties in generating and handling data for large volumes at nanoscale resolution have thus restricted vertebrate studies to fragments of circuits. These efforts were recently transformed by advances in computing, sample handling, and imaging techniques, but high-resolution examination of entire brains remains a challenge. Here, we present ssEM data for the complete brain of a larval zebrafish (Danio rerio) at 5.5 days post-fertilization. Our approach utilizes multiple rounds of targeted imaging at different scales to reduce acquisition time and data management requirements. The resulting dataset can be analysed to reconstruct neuronal processes, permitting us to survey all myelinated axons (the projectome). These reconstructions enable precise investigations of neuronal morphology, which reveal remarkable bilateral symmetry in myelinated reticulospinal and lateral line afferent axons. We further set the stage for whole-brain structure-function comparisons by co-registering functional reference atlases and in vivo two-photon fluorescence microscopy data from the same specimen. All obtained images and reconstructions are provided as an open-access resource.


Assuntos
Encéfalo/ultraestrutura , Microscopia Eletrônica , Peixe-Zebra , Anatomia Artística , Animais , Atlas como Assunto , Axônios/metabolismo , Axônios/ultraestrutura , Encéfalo/anatomia & histologia , Encéfalo/citologia , Conjuntos de Dados como Assunto , Larva/anatomia & histologia , Larva/citologia , Larva/ultraestrutura , Microscopia de Fluorescência por Excitação Multifotônica , Publicação de Acesso Aberto , Peixe-Zebra/anatomia & histologia , Peixe-Zebra/crescimento & desenvolvimento
SELEÇÃO DE REFERÊNCIAS
Detalhe da pesquisa