AI for Iron Localization in Plant Cells

In public collaboration with the IPSiM team at CNRS

The DeepIron project focuses on plant physiology and mineral nutrition, with a particular emphasis on iron regulation in plant cells during early developmental stages (cotyledons).

Iron is an essential nutrient but can become toxic at high concentrations — making its storage, transport, and regulation a critical area of study.

AI-Powered Image Analysis

BionomeeX developed an AI-powered image analysis software capable of:

• 🔍 Automatically detecting iron concentration within plant cells

• 📊 Quantitatively classifying iron levels according to intensity and subcellular localization

• 🧠 Providing precise and reproducible data for analyzing spatial and temporal variations in iron distribution

Advancing Plant Physiology Research

By integrating deep learning with high-resolution microscopic imaging, the project enables researchers to:

• 🌿 Observe iron dynamics at an unprecedented cellular resolution

• 🧬 Investigate how genetic or environmental factors affect iron nutrition

• ⚙️ Gain insights into the fundamental mechanisms of mineral nutrition and plant metabolism

Toward Smarter Plant Science

DeepIron demonstrates how artificial intelligence can revolutionize the study of micronutrients in plants, offering precise tools to visualize and quantify essential elements at the cellular level.

This project bridges the gap between AI, microscopy, and plant biology, opening new perspectives for sustainable agriculture and advanced plant science.