Multi-Channel Colocalization Analysis and Visualization of Viral Proteins in Fluorescence Microscopy Images
نویسندگان
چکیده
Automatic analysis of colocalizing biological structures in multi-channel fluorescence microscopy images is an important task to quantify and understand processes at high spatial-temporal resolution. Here, we introduce a software suite for colocalization spot-like objects images. The consists ColocQuant ColocJ, easy use biologists. Python-based with graphical user interface particles two or three channels. Object-based performed by efficient multi-dimensional graph-based $k$ -d-tree approach, which determines nearest neighbors involved double triple colocalization. ColocJ enables intuitive visualization the color composition colocalizations Maxwell triangle ribbon. Colocalization information can be visualized entire image selected region-of-interest. In addition, global statistics particle intensity, size, number over time are provided. results exported used other software. We illustrate application our live cell sequences viral proteins hepatitis C virus infected cells. two-channel three-channel analysis.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3276232