![]() Image-based multiscale modeling predicts tissue-level and network-level fiber reorganization in stretched cell-compacted collagen gels. Sander, E.A., Stylianopoulos, T., Tranquillo, R.T. Fiber alignment imaging during mechanical testing of soft tissues. Multinet growth in the cell wall of Nitella. Total internal reflection fluorescence microscopy in cell biology. Quantitative motion analysis and visualization of cellular structures. Putting super-resolution fluorescence microscopy to work. The tool provides the average orientation and anisotropy of fiber arrays in a given region of interest (ROI) in a few seconds. The tool is ImageJ-based, and it is therefore freely accessible to the scientific community and does not require specific computational setup. FibrilTool has been validated on microtubules, actin and cellulose microfibrils, but it may also help analyze other fibrillar structures, such as collagen, or the texture of various materials. Here we describe FibrilTool, an ImageJ plug-in based on the concept of nematic tensor, which can provide a quantitative description of the anisotropy of fiber arrays and their average orientation in cells, directly from raw images obtained by any form of microscopy. Image analysis tools have been developed to quantify this behavior, but they often involve an image pre-processing stage that may bias the output and/or they require specific software. Cell biology heavily relies on the behavior of fibrillar structures, such as the cytoskeleton, yet the analysis of their behavior in tissues often remains qualitative.
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