![]() NIH Image can acquire, display, edit, enhance, analyze, print and animate images. 64, 5753–5767 (2013).Introduction NIH Image: An Introduction and Tutorial A correlative microscopy approach relates microtubule behavior, local organ geometry, and cell growth at the Arabidopsis shoot apical meristem. Pulsed contractions of an actin-myosin network drive apical constriction. MAP65-1 and MAP65-2 promote cell proliferation and axial growth in Arabidopsis roots. Mechanical stress acts via Katanin to amplify differences in growth rate between adjacent cells in Arabidopsis. Automated measurement of myofiber disarray in transgenic mice with ventricular expression of ras. Karlon, W.J., Covell, J.W., McCulloch, A.D., Hunter, J.J. An automated approach for three-dimensional quantification of fibrillar structures in optically cleared soft biological tissues. Schriefl, A.J., Wolinski, H., Regitnig, P., Kohlwein, S.D. Comparison of 2D fiber network orientation measurement methods. Quantification of the temporal evolution of collagen orientation in mechanically conditioned engineered cardiovascular tissues. MicroFilament Analyzer, an image analysis tool for quantifying fibrillar orientation, reveals changes in microtubule organization during gravitropism. Quantification and cluster analysis of actin cytoskeletal structures in plant cells: role of actin bundling in stomatal movement during diurnal cycles in Arabidopsis guard cells. ![]() Higaki, T., Kutsuna, N., Sano, T., Kondo, N. Automated classification and quantification of F-actin-containing ruffles in confocal micrographs. Quantitative mapping of collagen fiber orientation in non-glaucoma and glaucoma posterior human sclerae. 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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