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. 2024 Sep 27;4:1435733. doi: 10.3389/fbinf.2024.1435733

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Copyright © 2024 Selzer, Rueden, Hiner, Evans, Kolb, Wiedenmann, Birkhold, Buchholz, Helfrich, Northan, Walter, Schindelin, Pietzsch, Saalfeld, Berthold and Eliceiri.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Image processing and volumetric 3D measurements in Python with SciJava Ops. (A) Excerpts from sample Python code calling SciJava Ops via the scyjava library to image process input data, create a 3D mesh and measure its volume. (B) A slice of the input 3D (X, Y, Z) data of a 3T3 nucleus stained with DAPI. (C) A slice of the image processed result where an improved signal-to-noise ratio is achieved by multiplying the mean filtered image with the input using SciJava Ops. (D) Segmentation result of the image processed input data used to create the mesh.