AI Article Synopsis

  • The text introduces a protocol for using Neuronalyzer software to automatically reconstruct branched neuronal structures from noisy microscopy images.
  • It outlines steps including loading images, denoising, segmenting, tracing, and extracting features like branch curvature and junction angles.
  • The software is capable of batch processing and allows for statistical comparisons, making it versatile and effective in handling variations across different datasets.

Article Abstract

Studying neuronal morphology requires imaging and accurate extraction of tree-like shapes from noisy microscopy data. Here, we present a protocol for automatic reconstruction of branched structures from microscopy images using Neuronalyzer software. We describe the steps for loading neuron images, denoising, segmentation, and tracing. We then detail feature extraction (e.g., branch curvature and junction angles), data analysis, and plotting. The software allows batch processing and statistical comparisons across datasets. Neuronalyzer is scale-free and handles noise and variation across images. For complete details on the use and execution of this protocol, please refer to Yuval et al..

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11101970PMC
http://dx.doi.org/10.1016/j.xpro.2024.103063DOI Listing

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