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Fig 1. IVEN development and implementation in preimplantation stages of the murine embryo.
Internal Versus External Neighbourhood (IVEN). IVEN is a user-interactive, open-source pipeline that classifies cells into different populations based on their position and quantifies the number of neighbours of every cell within a dataset in a 3D environment.

(A) Brightfield images of the preimplantation and peri-implantation periods of the murine embryo. Scale bar, 40 μm. (B) Embryo reconstructions of murine embryos at the 8-, 16-, 32-, 64-, and 128-cell stages generated within the IVEN pipeline. Outside cells are shown in white, and inside cells are shown in blue. Numbers labelled are cell IDs. (C) IVEN pipeline; data preparation (yellow box), selection of platform (grey box), cell classification (blue box), and neighbourhood quantification (green box). Blue inset shows an example 2D convex hull around 2D coordinates. Green inset shows an example DT of in silico 2D data points approximating a cross section through a blastocyst. (D) E-cadherin and CDX2 expression between the 16-cell stage and 128-cell stage. Restriction of CDX2 to outside (TE) cells by the 32-cell stage. Scale bar, 40 μm. (E) Difference between number of outside cells as classified using IVEN (convex hull and manual reclassification where necessary, circles), ellipsoid fitting (squares), and manual identification of outside cells based on CDX2 expression and positional information per embryo. Each marker is representative of the difference in the number of outside cells for one embryo. The dotted line indicates a difference of zero. (F) Comparison of outer cell versus inside cell CDX2 expression as classified using the IVEN pipeline. Dark blue and dark grey points indicative of low background data. Pale blue and pale grey points indicative of high background data analysed at the 64-cell stage. Data underlying this figure can be found on the public GitHub repository https://github.com/jessforsyth/forsyth-et-al-2021. DT, Delaunay triangulation; EGA, embryonic genome activation; IVEN, Internal Versus External Neighbourhood; TE, trophectoderm
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Source https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3001345 Forsyth JE, Al-Anbaki AH, de la Fuente R, Modare N, Perez-Cortes D, Rivera I, et al. (2021) IVEN: A quantitative tool to describe 3D cell position and neighbourhood reveals architectural changes in FGF4-treated preimplantation embryos. PLoS Biol 19(7): e3001345. https://doi.org/10.1371/journal.pbio.3001345
Author Forsyth JE, Al-Anbaki AH, de la Fuente R, Modare N, Perez-Cortes D, Rivera I, et al.
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Copyright: © 2021 Forsyth et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

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current01:09, 28 August 2024Thumbnail for version as of 01:09, 28 August 20244,110 × 4,600 (6.18 MB)Rasbak (talk | contribs){{Information |description=Fig 1. IVEN development and implementation in preimplantation stages of the murine embryo.<br> Internal Versus External Neighbourhood (IVEN). IVEN is a user-interactive, open-source pipeline that classifies cells into different populations based on their position and quantifies the number of neighbours of every cell within a dataset in a 3D environment.<BR> (A) Brightfield images of the preimplantation and peri-implantation periods of the murine embryo. Scale bar, 4...

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