During all experiments an on-line imaging instrument was applied to obtaining real-time images for the purpose of qualitative comparison with model predicted shape distribution.
Moreover, translucent tadpoles are amenable to "on-line" imaging with fluorescent reporter constructs that facilitate in vivo measurement of transcriptional activity.
Application of the methodology to the analysis of images from a different on-line imaging probe and from an off-line slurry sample imaging system demonstrated the capability of generalisation of the method.
On-line imaging represents a potentially powerful technique for real-time monitoring of the morphological forms during crystal growth, but a major challenge is the availability of methods for image analysis that need to be tolerant to the quality of on-line images, accurate, fast and robust.
Whilst on-line imaging has shown to be the most promising method for on-line measurement of crystal shape within processing vessels, all the work reported in literature has been restricted to 2D imaging, future research and developments should investigate stereo imaging techniques that provide the capability for direct 3D information.
It is necessary to investigate such misalignment using on-line imaging (e.g., cone-beam CT) before clinical application.
Because of their complexity, neither technique can provide on-line imaging of the advancing resection cavity and the integration of these technologies into microsurgical instruments or operating microscopes is limited.
Depending on the symptoms, conventional x-rays are the first line imaging modality for the evaluation of wrist pain.
Information on fly lines, imaging techniques, image analysis and microinjection can be found at Hayward et al., 2014.
This paper proposes a scanning spatial-wavenumber filter and piezoelectric sensor (referred to as PZT) 2-D cruciform array based on-line damage imaging method of composite structure.
Finally, the future perspective for automatic morphology control which requires integration of crystal morphology prediction, morphological PB modelling, on-line 3D imaging and image analysis for shape and PB characterisation as well as computational fluid dynamics is outlined.
