For an efficient analysis of stomatal traits—like number, size, and closure rate—which are crucial for understanding plant responses to the environment, we introduce StomaVision. This automated tool simplifies stomatal detection and measurement on images from various plant species, including field samples. It enhances research efficiency by processing images quickly, even from videos, increasing the data available for robust analysis. StomaVision's user-friendly web interface is accessible at https://stomavision.streamlit.app/, and its software can be downloaded from https://github.com/YaoChengLab/StomaVision. It aids in studying physiological plant responses and has revealed significant insights, such as the relationship between stomatal characteristics and plant stress responses, including heat stress effects on stomatal behavior and plant efficiency metrics.

StomaVision is hosted on the Streamlit. If the instance remains unused for an extended period, it may be shut down. Please note that relaunching the instance could take approximately 5 minutes.

For optimal inference performance, please refer to the StomaVision User Guide.

coming soon

1. Install Instill Core