Haralick Texture Analysis of Cytoplasm

For image data analysis, we used Harmony Software 4.8 (Perkin Elmer). The analysis was conducted using the following steps within the Analysis module of Harmony Software: (1) identifying the cell nucleus with the “Find Nuclei” algorithm using the Histone H1-mtagBFP2 channel, (2) detecting the cytoplasm boundaries of the identified cell nucleus using the “Find Cytoplasm” algorithm with the TUBB-mClover3 channel, and (3) analyzing the texture properties of the cytoplasm of each cell using the Haralick analysis option with default settings. The Haralick texture analysis option provides values for pixel correlation, contrast, homogeneity, and sum variance. For this study, we only evaluated changes in the mean pixel homogeneity values per each well.

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Khachatryan H., Olszowy B., Barrero C.A., Gordon J, & Perez-Leal O. (2023). Identification of Inhibitors of Tubulin Polymerization Using a CRISPR-Edited Cell Line with Endogenous Fluorescent Tagging of β-Tubulin and Histone H1. Biomolecules, 13(2), 249.

Publication 2023

Harmony Software 4.8

Cytoplasm Histone h1 Nucleus of cell

Corresponding Organization : Temple University

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Variable analysis

independent variables

Identifying the cell nucleus with the 'Find Nuclei' algorithm using the Histone H1-mtagBFP2 channel
Detecting the cytoplasm boundaries of the identified cell nucleus using the 'Find Cytoplasm' algorithm with the TUBB-mClover3 channel

dependent variables

Haralick texture analysis option values for pixel correlation, contrast, homogeneity, and sum variance
Mean pixel homogeneity values per each well

control variables

Default settings for the Haralick analysis option

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