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3dSpAn: An interactive software for 3D segmentation and analysis of dendritic spines.
Das, Nirmal; Baczynska, Ewa; Bijata, Monika; Ruszczycki, Blazej; Zeug, Andre; Plewczynski, Dariusz; Saha, Punam Kumar; Ponimaskin, Evgeni; Wlodarczyk, Jakub; Basu, Subhadip.
  • Das N; Department of CSE, Jadavpur University, 188 Raja S.C. Mullick Road, Kolkata, 700032, India.
  • Baczynska E; Department of CSE, School of Engineering and Technology, Adamas University, Barbaria, Kolkata, West Bengal, 700126, India.
  • Bijata M; Laboratory of Cell Biophysics, The Nencki Institute of Experimental Biology, Polish Academy of Sciences, Pasteura 3, 02-093, Warsaw, Poland.
  • Ruszczycki B; The Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzak Street 44/52, 01-22, Warsaw, Poland.
  • Zeug A; Laboratory of Cell Biophysics, The Nencki Institute of Experimental Biology, Polish Academy of Sciences, Pasteura 3, 02-093, Warsaw, Poland.
  • Plewczynski D; Laboratory of Imaging Tissue Structure and Function, The Nencki Institute of Experimental Biology, Polish Academy of Sciences, Pasteura 3, 02-093, Warsaw, Poland.
  • Saha PK; Cellular Neurophysiology, Hannover Medical School, 1 Carl-Neuberg Street, Hannover, 30625, Germany.
  • Ponimaskin E; Laboratory of Bioinformatics and Computational Genomics, Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
  • Wlodarczyk J; Laboratory of Functional and Structural Genomics, Centre of New Technologies, University of Warsaw, Warsaw, Poland.
  • Basu S; Department of Electrical and Computer Engineering & Department of Radiology, University of Iowa, Iowa City, IA 52242, USA.
Neuroinformatics ; 20(3): 679-698, 2022 07.
Article en En | MEDLINE | ID: mdl-34743262
ABSTRACT
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Espinas Dendríticas Tipo de estudio: Qualitative_research Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Espinas Dendríticas Tipo de estudio: Qualitative_research Idioma: En Año: 2022 Tipo del documento: Article