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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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SACA on dual color fluorescent HIV-1 construct expressed in HeLa cells identifies colocalization regions of interest. (A) Excerpts of a Python Fiji script that utilizes the SACA framework implemented in SciJava Ops to detect regions of colocalization and determine the degree of colocalization. (B) Input images of HIV-1 Gag-YFP, MS2-mCherry proteins, tracking colocalized viral particle production and viral mRNA trafficking dynamics at the plasma membrane. (C) Z-score heatmap of input data, indicating the strength of colocalization. (D) Pixel-wise p-value heatmap of the Z-score colocalization strength. (E) Significant pixel mask indicating which pixels are significantly colocalized in the input data.