Research Article | Open Access

Volume 2025 |Article ID 100040 | https://doi.org/10.1016/j.plaphe.2025.100040

MADI: A multispectral automated dynamic imager to monitor plant health

Thomas Depaepe,^1,3 Aaron I. V

elez Ramirez,^1,3,4 Filip Vandenbussche,^1,5 Ratnesh Mishra,^1,6 Rashid J. Qureshi,^1,7 Alex Van den Bossche,² and Dominique Van Der Straeten ¹

¹Laboratory of Functional Plant Biology, Department of Biology, Ghent University, Gent, 9000, Belgium
²Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Ghent University, Gent, 9052, Belgium
³These authors contributed equally to this work.
⁴Present address: Laboratorio de Ciencias Agrogenomicas, Escuela Nacional de Estudios Superiores Unidad Le
on, Universidad Nacional Aut
onoma de M

exico. Boulevard UNAM 2011, Leon, Guanajuato, 37684, M

exico.
⁵Present address: Deroose Plants NV, Evergem (Sleidinge), 9940, Belgium.
⁶Present address: Biotalys NV, Ghent, 9051, Belgium.
⁷Present address: Red Deer Polytechnic, Red Deer, AB T4N 5H5, Canada.

Abstract

High-throughput phenotyping has a tremendous capacity to advance our understanding of plant biology. Integrating growth parameters with information on a plant's physiology through multispectral imaging can provide a holistic picture of its health status and its responses to environmental stressors. Furthermore, the screening of large-scale populations of genotypes or germplasms, using such platforms, can identify lines with desirable traits to help feed a growing world population in the background of climate change. Here, we present a novel platform, the Multispectral Automated Dynamic Imager (MADI), which combines visible and near-infrared reflectance, thermal imaging, and chlorophyll fluorescence for the dynamic monitoring of growth, leaf temperature, and photosynthetic efficiency. Additionally, we have integrated and validated a fluorescence-based parameter to non-destructively assess chlorophyll content. The utility of the MADI system was demonstrated through four case studies in which lettuce and Arabidopsis plants were exposed to various abiotic stress conditions. We demonstrate that plant compactness is a useful marker for stress responses, including drought, and could serve as a biomarker to study plant hormones. Additionally, we observed the phenomenon of chlorophyll hormesis under salt stress, a rather poorly understood process. In conclusion, the MADI is a multifunctional, adaptable system that can be employed to gain insights into plant stress responses and help to improve agricultural practices. It can be used primarily for rosette-growing species, such as leafy greens, which represent a significant portion of cultivated crops worldwide.