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Three-dimensional image reconstruction of distribution of Pnmt+ cell-derived cells in murine heart.

Haibo NiYange WangWilliam CrawfordShanzhuo ZhangLongxian ChengHenggui ZhangMing Lei
Published in: Scientific data (2017)
Elucidating the function of specific cell types in a highly complex multicellular system such as the heart often requires detailed anatomic reconstruction. We recently described a distinctive class of phenylethanolamine n-methyltransferase (Pnmt+) cell-derived cardiomyocytes (PdCMs), a new cardiomyocyte population with a potential endocrine role. In this dataset, a 3D reconstruction was carried out to visualise the distribution of PdCMs throughout the murine heart. Rigid registration (stiff rotation and translation) was applied to properly align the fused heart slice images based on landmarks using TrakEM2, an open source plug-in in Fiji. The registered slices were then analysed and reconstructed using MATLAB (MATLAB®. Version 8.3.0.532). The final reconstructed 3D volume was 561×866×48 pixels (corresponding to spatial resolutions of 5.8, 8.9 and 2.5 mm in the x-, y- and z-direction respectively), and visualised in Paraview. The reconstruction allows for detailed analyses of morphology, projections and cellular features of different cell types, enabling further geometrical and topological analyses. Image data can be accessed and viewed through Figshare.
Keyphrases
  • heart failure
  • deep learning
  • single cell
  • cell therapy
  • induced apoptosis
  • oxidative stress
  • electronic health record
  • machine learning
  • artificial intelligence
  • endothelial cells
  • climate change
  • data analysis