Synaptic connectivity and molecular composition provide a blueprint for information processing in neural circuits. Detailed structural analysis of neural circuits requires nanometer resolution, which can be obtained with serial-section electron microscopy. However, this technique remains challenging for reconstructing molecularly defined synapses. We used a genetically encoded synaptic marker for electron microscopy (GESEM) based on intra-vesicular generation of electron-dense labeling in axonal boutons. This approach allowed the identification of synapses from Cre recombinase-expressing or GAL4-expressing neurons in the mouse and fly with excellent preservation of ultrastructure. We applied this tool to visualize long-range connectivity of...
Mammalian central nervous systems consist of highly diverse types of neurons, which are the function...
Large dimension, high-resolution imaging is important for neural circuit visualisation as neurons ha...
The labeling and identification of long-range axonal inputs from multiple sources within densely rec...
Synaptic connectivity and molecular composition provide a blueprint for information processing in ne...
WOS: 000345484000033PubMed ID: 25362474Synaptic connectivity and molecular composition provide a blu...
Resolving patterns of synaptic connectivity in neural circuits currently requires serial section ele...
Resolving patterns of synaptic connectivity in neural circuits currently requires serial section ele...
Determining direct synaptic connections of specific neurons in the central nervous system (CNS) is a...
Determining direct synaptic connections of specific neurons in the central nervous system (CNS) is a...
Determining direct synaptic connections of specific neurons in the central nervous system (CNS) is a...
Teravoxel volume electron microscopy data sets from neural tissue can now be acquired in weeks, but ...
Teravoxel volume electron microscopy data sets from neural tissue can now be acquired in weeks, but ...
A challenging aspect of neuroscience revolves around mapping the synaptic connections within neural ...
Parallels between invertebrates and vertebrates in nervous system development, organisation and circ...
Development of new imaging technologies in recent years has transformed neuroscience in profound way...
Mammalian central nervous systems consist of highly diverse types of neurons, which are the function...
Large dimension, high-resolution imaging is important for neural circuit visualisation as neurons ha...
The labeling and identification of long-range axonal inputs from multiple sources within densely rec...
Synaptic connectivity and molecular composition provide a blueprint for information processing in ne...
WOS: 000345484000033PubMed ID: 25362474Synaptic connectivity and molecular composition provide a blu...
Resolving patterns of synaptic connectivity in neural circuits currently requires serial section ele...
Resolving patterns of synaptic connectivity in neural circuits currently requires serial section ele...
Determining direct synaptic connections of specific neurons in the central nervous system (CNS) is a...
Determining direct synaptic connections of specific neurons in the central nervous system (CNS) is a...
Determining direct synaptic connections of specific neurons in the central nervous system (CNS) is a...
Teravoxel volume electron microscopy data sets from neural tissue can now be acquired in weeks, but ...
Teravoxel volume electron microscopy data sets from neural tissue can now be acquired in weeks, but ...
A challenging aspect of neuroscience revolves around mapping the synaptic connections within neural ...
Parallels between invertebrates and vertebrates in nervous system development, organisation and circ...
Development of new imaging technologies in recent years has transformed neuroscience in profound way...
Mammalian central nervous systems consist of highly diverse types of neurons, which are the function...
Large dimension, high-resolution imaging is important for neural circuit visualisation as neurons ha...
The labeling and identification of long-range axonal inputs from multiple sources within densely rec...