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Measurement of cell traction forces with ImageJ
2015The quantification of cell traction forces requires three key steps: cell plating on a deformable substrate, measurement of substrate deformation, and the numerical estimation of the corresponding cell traction forces. The computing steps to measure gel deformation and estimate the force field have somehow limited the adoption of this method in cell ...
Martiel, Jean-Louis +7 more
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NanoIndentation, an ImageJ Plugin for the Quantification of Cell Mechanics
2021Growth and morphogenesis in plants depend on cell wall mechanics and on turgor pressure. Nanoindentation methods, such as atomic force microscopy (AFM), enable measurements of mechanical properties of a tissue at subcellular resolution, while confocal microscopy of tissues expressing fluorescent reporters indicates cell identity. Associating mechanical
Mirabet, Vincent +7 more
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napari-imagej: ImageJ ecosystem access from napari
Nature Methods, 2023Gabriel J. Selzer +5 more
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An ImageJ Plugin for Whole Slide Imaging
2014Whole slide imaging (WSI) has become important in medicine and pathology, and challenges processing and management of high-resolu- tion images with up to 10 GB of data. Open source tools such as ImageJ do not sufficiently support high volume data and require manual inter- action in otherwise automatic workflows.
Daniel Haak +5 more
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Stereological morphometric grids for ImageJ
Ultrastructural Pathology, 2017The unbiased stereological procedures for morphometric quantifications became very popular in microscopy field, and their usage is often the requirement in a number of scientific journals.
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Japanese Journal of Radiological Technology, 2018
Ryota, Ogihara, Shigeyoshi, Saito
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Ryota, Ogihara, Shigeyoshi, Saito
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PyImageJ: A library for integrating ImageJ and Python
Nature Methods, 2022Curtis T. Rueden +7 more
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ImageJ plug-ins for microscopic image processing
2011 34th International Conference on Telecommunications and Signal Processing (TSP), 2011The article deals with initial research into the methods of microscopic image processing methods for the study of diverticular disease. Functional and structural changes were found in tissues of persons afflicted with diverticular disease in previous medical research. The acquired images were processed manually.
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