4.3 Article

3dSpAn: An interactive software for 3D segmentation and analysis of dendritic spines

Journal

NEUROINFORMATICS
Volume 20, Issue 3, Pages 679-698

Publisher

HUMANA PRESS INC
DOI: 10.1007/s12021-021-09549-0

Keywords

Dendritic spines; Three-dimensional segmentation; Synaptic plasticity; Interactive software; Quantitative analysis

Funding

  1. Department of Biotechnology, India [BT/PR16356/BID/7/596/2016]
  2. Polish National Science Centre [2019/35/O/ST6/02484, 2020/37/B/NZ2/03757, 2017/26/E/NZ4/00637]
  3. CSIR SRF Fellowship, India [09|096(0921)2K18 EMR-I]
  4. Polish National Science Centre grant [UMO-2017/27/N/NZ3/02417]
  5. Foundation for Polish Science grant [POIR.04.04.00-00-43BC/17-00]
  6. Foundation for Polish Science - European Union under the European Regional Development Fund
  7. Warsaw University of Technology within the Excellence Initiative: Research University (IDUB) programme

Ask authors/readers for more resources

Segmentation and analysis of dendritic spine morphology face challenges in individual spine segmentation and quantitative assessment of spine morphology. We developed 3dSpAn software based on the 3D multi-scale opening algorithm, with four modules for preprocessing, segmentation, and feature extraction. Results show usability across different observation methods, reproducibility, and accuracy, with the software freely available for non-commercial use.
Three-dimensional segmentation and analysis of dendritic spine morphology involve two major challenges: 1) how to segment individual spines from the dendrites and 2) how to quantitatively assess the morphology of individual spines. To address these two issues, we developed software called 3dSpAn (3-dimensional Spine Analysis), based on implementing a previously published method, 3D multi-scale opening algorithm in shared intensity space. 3dSpAn consists of four modules: a) Preprocessing and Region of Interest (ROI) selection, b) Intensity thresholding and seed selection, c) Multi-scale segmentation, and d) Quantitative morphological feature extraction. In this article, we present the results of segmentation and morphological analysis for different observation methods and conditions, including in vitro and ex vivo imaging with confocal microscopy, and in vivo observations using high-resolution two-photon microscopy. In particular, we focus on software usage, the influence of adjustable parameters on the obtained results, user reproducibility, accuracy analysis, and also include a qualitative comparison with a commercial benchmark. 3dSpAn software is freely available for non-commercial use at www.3dSpAn.org.

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