title: Image-based Analysis to Study Plant Infection with Human Pathogens.
abstract: Our growing awareness that contaminated plants, fresh fruits and vegetables are responsible for a significant proportion of food poisoning with pathogenic microorganisms indorses the demand to understand the interactions between plants and human pathogens. Today we understand that those pathogens do not merely survive on or within plants, they actively infect plant organisms by suppressing their immune system. Studies on the infection process and disease development used mainly physiological, genetic, and molecular approaches, and image-based analysis provides yet another method for this toolbox. Employed as an observational tool, it bears the potential for objective and high throughput approaches, and together with other methods it will be very likely a part of data fusion approaches in the near future.
authors.affiliation: Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE, Fraunhoferstrasse 20, 53343 Wachtberg, Germany.
authors.forename: Marek
authors.initials: M
authors.lastname: Schikora
authors.affiliation: Institute for Phytopathology and Applied Zoology, IFZ, JLU Giessen, 35392 Giessen, Germany.
authors.forename: Adam
authors.initials: A
authors.lastname: Schikora
keywords: Data fusion; Human pathogens; Image classification; Phytopathometry