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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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Synthetic point spread functions and Richardson-Lucy total variation deconvolution with SciJava Ops. (A) Excerpts of a Groovy Fiji script that utilizes the SciJava Ops image module to create a synthetic point spread function (PSF) using experimentally derived parameters and perform Richardson-Lucy total variation (RLTV) on a 3D (X, Y, Z) dataset of a HeLa nucleus stained with DAPI. (B) Input raw data. (C) RLTV deconvolved result with 15 iterations. (D) XZ-project of the synthetic PSF generated using the Gibson-Lanni model.