Two-photon excitation fluorescence microscopy is widely used to study the activity of neuronal circuits. However, the fast imaging is typically constrained to a single lateral plane for a standard microscope design. Given that cortical neuronal networks in a mouse brain are complex three-dimensional structures organised in six histologically defined layers which extend over many hundreds of micrometres, there is a strong demand for microscope systems that can record neuronal signalling in volumes. Henceforth, we developed a quasi-simultaneous multiplane imaging technique combining acousto-optic deflector and static remote focusing to provide fast imaging of neurons from different axial positions inside the cortical layers without the need f...
To capture the emergent properties of neural circuits, high-speed volumetric imaging of neural activ...
In vivo two-photon calcium imaging would benefit from the use of multiple excitation beams to increa...
The understanding of brain computations requires methods that read out neural activity on different...
Two-photon excitation fluorescence microscopy is widely used to study the activity of neuronal circu...
Two-photon excitation fluorescence microscopy is widely used to study the activity of neuronal circu...
Networks of neurons are inherently three-dimensional in nature, whereas conventional imaging methods...
Networks of neurons are inherently three-dimensional in nature, whereas conventional imaging methods...
Networks of neurons are inherently three-dimensional in nature, whereas conventional imaging methods...
Recording the activity of large populations of neurons is an important step toward understanding the...
Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neuron...
Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neuron...
Brain is composed of complex neural networks that work in concert to underlie the animal’s cognition...
Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neuron...
Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neuron...
Summary: To capture the emergent properties of neural circuits, high-speed volumetric imaging of neu...
To capture the emergent properties of neural circuits, high-speed volumetric imaging of neural activ...
In vivo two-photon calcium imaging would benefit from the use of multiple excitation beams to increa...
The understanding of brain computations requires methods that read out neural activity on different...
Two-photon excitation fluorescence microscopy is widely used to study the activity of neuronal circu...
Two-photon excitation fluorescence microscopy is widely used to study the activity of neuronal circu...
Networks of neurons are inherently three-dimensional in nature, whereas conventional imaging methods...
Networks of neurons are inherently three-dimensional in nature, whereas conventional imaging methods...
Networks of neurons are inherently three-dimensional in nature, whereas conventional imaging methods...
Recording the activity of large populations of neurons is an important step toward understanding the...
Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neuron...
Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neuron...
Brain is composed of complex neural networks that work in concert to underlie the animal’s cognition...
Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neuron...
Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neuron...
Summary: To capture the emergent properties of neural circuits, high-speed volumetric imaging of neu...
To capture the emergent properties of neural circuits, high-speed volumetric imaging of neural activ...
In vivo two-photon calcium imaging would benefit from the use of multiple excitation beams to increa...
The understanding of brain computations requires methods that read out neural activity on different...