Single Neuron Resolution
Single Neuron Resolution - Related Videos
09:30
Super-resolution Imaging of Neuronal Dense-core Vesicles
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Cited by 3 •
2014
We describe how to implement photoactivated localization microscopy (PALM)-based studies of vesicles in fixed, cultured neurons. Key components of our protocol include labeling vesicles with photoconvertible chimeras, collecting sparsely sampled raw images with a super-resolution microscopy system, and processing the raw images to produce a super-resolution image.
08:48
Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution
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Cited by 1 •
2012
Understanding the function of the vertebrate central nervous system requires recordings from many neurons because cortical function arises on the level of populations of neurons. Here we describe an optical method to record suprathreshold neural activity with single-cell and single-spike resolution, dithered random-access scanning. This method records somatic fluorescence calcium signals from up to 100 neurons with high temporal resolution. A maximum-likelihood algorithm deconvolves the...
16:29
Neuronal Cell Cultures from Aplysia for High-Resolution Imaging of Growth Cones
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Cited by 18 •
2008
Aplysia californica neurons develop large growth cones in culture that are excellent for high-resolution imaging of growth cone motility and guidance. Here, we present a protocol for dissection and plating of Aplysia bag cell neurons as well as for setting up a chamber for live cell imaging.
06:18
In Vivo Visualization of Spontaneous Activity in Neonatal Mouse Sensory Cortex at a Single-Neuron Resolution
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2023
Primary sensory areas in the neocortex exhibit unique spontaneous activities during development. This article describes how to visualize individual neuron activities and primary sensory areas to analyze area-specific synchronous activities in neonatal mice in vivo.
09:06
Preparation of Neuronal Co-cultures with Single Cell Precision
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Cited by 6 •
2014
Protocols for single neuron microfluidic arraying and water masking for the in-chip plasma patterning of biomaterial coatings are described. Highly interconnected co-cultures can be prepared using minimal cell inputs.
FAQs
The key advantage comes from fine spatial sampling, which separates signals associated with individual cells instead of combining activity across many neurons. This separation allows researchers to examine how a specific neuron responds to a stimulus, encodes information, or participates in circuit activity. Such measurements can reveal cellular contributions that population averages may conceal.
Temporal precision determines how closely a measurement follows changes in neural activity. Some single-neuron approaches can record on a millisecond scale, allowing researchers to relate cellular responses to rapidly changing stimuli or circuit events. This timing information complements spatial precision, helping distinguish not only which neuron responds, but also when its activity changes.
These methods emphasize different types of cellular information. Intracellular or extracellular electrophysiology measures neural activity, calcium imaging provides an imaging-based way to follow activity, and targeted microscopy can examine neuronal structure or connectivity. Selecting among them depends on whether the study focuses primarily on activity, cellular form, or connections between neurons.
Researchers first select a method suited to the feature they need to examine, such as activity, structure, or connectivity. They then apply fine spatial sampling to isolate signals from individual cells and use the available temporal precision when tracking activity. The resulting measurements can be related to stimuli, circuit dynamics, or behavior.
This level of measurement is useful when researchers need to connect cellular events with larger-scale neural function. Applications supported by the approach include studying neural computation, development, circuit dynamics, and neurological disease. It is particularly informative when the role of a specific neuron, rather than an averaged population response, is central to the research question.
Researchers can compare the activity, structure, or connectivity of identified neurons with stimulus responses, circuit dynamics, and observed behavior. This creates a link between cellular mechanisms and network-level outcomes. In turn, the comparison helps clarify how particular neurons contribute to information processing and how altered cellular properties may relate to neurological disease.