A software tool for quantification of root system architectures in a range of plant species, grown and imaged in a variety of ways. The expectation-maximization algorithm is used to classify the initial image, and produce a probability map of regions likely to contain root material. An intuitive user interface allows the user to guide in the detection of complex root paths, including the ability to overcome areas of challenging root structure, or image noise. Measurements can be exported directly, or saved in a database, where additional traits can be calculated later using a simple plug-in system.
A tool that extracts graphs from images of networks originating in various domains. NEFI provides a platform allowing practitioners to easily extract graphs from images by combining basic tools from image processing, computer vision and graph theory. Thus, NEFI constitutes an alternative to tedious manual graph extraction and special purpose tools. We anticipate NEFI to enable time-efficient collection of large datasets. The analysis of these novel datasets may open up the possibility to gain new insights into the structure and function of various networks.
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