Development of a non-destructive system for capturing sequential digital images for analysis could provide additional precision and insight concerning the aspects of seed germination. It would also provide a way to observe germination and seedling growth of individual seeds making it possible to select seeds displaying a particular behaviour or to monitor seedling growth following germination. Systems developed to take sequential images include time sequence photography (Tomas et al., 1992), machine vision (Howarth and Stanwood, 1993) and computerized automated seed analysis using a hand potentiometric calliper (Keys et al., 1984). We have developed a simple sequential imaging system that uses a flatbed scanner interfaced with a personal computer (PC), which captures images on an hourly basis. The objective of the current contribution is to demonstrate the range of germination-related applications, on which sequential imagery can be applied to using a flatbed scanner system. Applications include an example for imbibition, time to radicle protrusion, analysis of a mutant germination phenotype and seedling growth rate.
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