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・ Neuronal memory allocation
・ Neuronal migration disorder
・ Neuronal noise
・ Neuronal process
・ Neuronal recycling hypothesis
・ Neuronal self-avoidance
・ Neuronal tiling
・ Neuronal tracing
・ Neuronal tuning
・ NeuroNames
・ Neuronavigation
・ Neuronetics
・ Neuronia
・ Neuronium
・ Neurons to Nirvana
NeuronStudio
・ Neuronus IBRO & IRUN Neuroscience Forum
・ Neuroofen
・ Neurooncology
・ Neurootological and Equilibriometric Society
・ Neuropathia mucinosa cutanea
・ Neuropathic arthropathy
・ Neuropathic pain
・ Neuropathology
・ Neuropathology and Applied Neurobiology
・ Neuropathy (disambiguation)
・ Neuropathy target esterase
・ Neuropathy, ataxia, and retinitis pigmentosa
・ Neuropeptide
・ Neuropeptide B


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NeuronStudio : ウィキペディア英語版
NeuronStudio

NeuronStudio is a non-commercial program created at Icahn School of Medicine at Mount Sinai by the Computational Neurobiology and Imaging Center. This program performs automatic tracing and reconstruction of neuron structures from confocal image stacks. The resulting model can then be exported to a file using standard formats for further processing, modeling, or for statistical analyses.
The system handles morphologic details on scales spanning local spine geometry through complex tree topology to the gross spatial arrangement of multi-neuron networks. NeuronStudio's capability for automated digitization avoids the subjective errors that arise during manual tracing.
== Deconvolution ==
Deconvolution of imaged data is essential for accurate 3D reconstructions. Deconvolution is an image restoration approach where 'a priori' knowledge of the optical system in the form of a point spread function (PSF) is used to obtain a better estimate of the object. A point spread function can be either calculated from the actual microscope parameters, measured with beads, or estimated and iteratively refined ((Deconvolution )). PSFs can be adjusted locally to account for variations in refractive characteristics of the tissue with depth and sample characteristics. For automated use with large, tiled tissue blocks, this is faster and more accurate than using an experimentally determined PSF.

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