Tomato Analyzer
Tomato Analyzer is a software tool designed to analyze scanned images of tomato, pepper, leaf, and seed slices. Version 4.0 includes enhanced functionality for analyzing asymmetric (curved) fruit shapes, hollow peppers, and improved recognition of distal and proximal ends. The software supports high-throughput phenotyping in fruit morphology studies.
Tomato Analyzer was originally developed in the van der Knaap Lab and funded by the National Science Foundation Plant Genome Research Program (IOS 1444539/1564366; IOS 0922661; DBI 0227541) with contributions from Drs. Esther van der Knaap, Simon Gray, Kikuo Fujimura, and Sofia Visa.
With permission from Dr. van der Knaap, this tool is now also hosted on the Sapkota Lab website. Dr. Manoj Sapkota currently assists users with troubleshooting and continued support for the software.
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References
- Development of a controlled vocabulary and software application to analyze fruit shape variation in and other plant species. Brewer, M.T., Lang, L., Fujimura, K., Dujmovic, N., Gray, S., and van der Knaap, E. Plant Physiology, 2006, 141, 15-25
- Tomato Analyzer-Color Test: a new tool for efficient digital phenotyping. Darrigues, A., Hall, J., van der Knaap, E. and Francis, D.M. J. Am. Soc. of Hort. Sci., 2008, 133, 579-586.
- Tomato Fruit Shape Analysis Using Morphometric and Morphology Attributes Implemented in Tomato Analyzer Software Program. Gonzalo, M.J. Brewer, M.T., Anderson, C., Sullivan, D., Gray, S., and van der Knaap, E. J. Am. Soc. of Hort. Sci., 2009, 134, 77-87
Video Reference
- Rodriguez, G.R., Moyseenko, J.B., Robbins, M.D., Huarachi Morejon, .N, Francis, D.M., van der Knaap, E.(2010). Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects. JoVE 37.
We would like to hear your comments and suggestions regarding Analyzer. When reporting a bug with the software, please send us the following information: your operating system, as much detail of what you were doing prior to the crash, and the image that you were working with when the problem occurred. Email your comments to manoj.sapkota@uky.edu and cc esthervanderknaap@uga.edu.