PhenoImage is an open-source GUI based cross-platform solution for high-throughput phenotyping (HTP) image processing with the aim to make image analysis accessible to users with either little or no programming skills. The open-source nature provides the possibility to extend its usability to meet user-specific requirements. The availability of multiple functions and filtering parameters provides flexibility to analyze images from a wide variety of plant species and platforms. PhenoImage can be run on a personal computer, as well as on high-performance computing clusters for processing large-scale phenotypic data.

PhenoImage is a MATLAB-based application, which makes it compatible with multiple operating systems. The tool is available in two formats: Regular and Standalone. Both these versions are identical in their interface and performance.

• Regular App requires a MATLAB license for its operation.
• Standalone App uses MATLAB Compiler Runtime and does not necessarily require MATLAB license for its operation.

PhenoImage is conducted by the following steps:

1. Type file path
2. Change parameters
3. Execute for all images

Path should be a regular expression for the image files. * can be used to represent characters (e.g. C:\*\Vis_SV_*\*.png).

• Feiyu Zhu
• Manny Saluja
• Jaspinder Singh
• Puneet Paul
• Scott E. Sattler
• Paul Staswick
• Harkamal Walia
• Hongfeng Yu