The software used was Olympus FV1000 for imaging generation and ImageJ for 3-D image generation.
The distribution of generated objects is an important factor of the simulated image generation process.
# Refer to the respective image generation modules for more details.
H.C. and T.G. conceived the main ideas regarding live-cell image generation, processing and analysis.
This study describes the design, optimization, characterization and image generation using a 3D Light PAD.
Deng and co even compare the two methods interpolation versus image generation.
These key results provided a method to tune the thermal fading kinetics, ultimately enabling image generation.
His specialities include hidden surface algorithms, geometric modeling, color science, and realistic image generation.
The cognitive architecture involved in image generation requires the activation of interacting memory processes.
The subject of fractal image generation is well covered in the literature.
In this paper, a test bed for image generation, acquisition, and real-time processing is presented.
