Due to the inaccessibility of the OCT software in the custom CM-OCT, the use of the synchronization marker in image recording may be an easy way to synchronize both systems.
An automatic localization method is performed by registering a point cloud sampled from the three dimensional (3D) pedestal model surface of a fiducial marker to each pedestal of fiducial markers searched in image space.
The current user's viewpoint for the rendering is taken from a pose prediction algorithm, also online running on the laptop, which is based on the fusion of data from the inertia tracker and the camera, looking at one or more markers in the image.
Moreover, the high-accuracy recognition of the corresponding markers in the images is achieved on the basis of the markers layout.
Detection of 2D markers in separate images and its analysis using calibration information have been presented in [12] enforcing an HBM afterwards.
The current systematic error, that is dependent on the location of the marker in the image, is compensated by the Kalman filter using the bias states, leading to over and undershoots upon user movements.
To comprehensively visualize guard cell intracellular dynamics during stomatal movement, we have already released microscopic images of 50 60 pairs of Arabidopsis guard cells fluorescently labeled with 18 kinds of organelle markers in the Live Images of Plant Stomata (LIPS) database [ 12].
A marker extraction algorithm automatically detects the position of the markers in the X-ray images.
In time, advances in image processing techniques and fluorescent markers will overcome this limitation.
The use of GFP-Nit1 and other markers to image plant cell death in vivo has revealed novel subcellular responses that to our knowledge have not been previously described, such as nuclear envelope separation, formation of nuclear lobes and release of nuclear contents into the cytosol.
