A novel approach, based on a 3D difference pyramid structure with vector quantization error feedback, is proposed for microscopic volume image data compression. We have improved the coding performance relative to previous work. A finite-state vector quantizer (FSVQ) is introduced to exploit the correlation between neighbouring vectors to improve the coding efficiency. The effects of FSVQ in con...

We report a light-field based method that allows the optical encryption of three-dimensional (3D) volumetric information at the microscopic scale in a single 2D light-field image. The system consists of a microlens array and an array of random phase/amplitude masks. The method utilizes a wave optics model to account for the dominant diffraction effect at this new scale, and the system point-spr...

This paper presents an efficient and innovative system for automated classification of periodontal diseases, The strength of our technique lies in the fact that it incorporates knowledge from the patients' clinical data, along with the features automatically extracted from the Haematoxylin and Eosin (H&E) stained microscopic images. Our system uses image processing techniques based on color dec...

The human heart has a heterogeneous structure, which is characterized by different cell types and their spatial configurations. The physical structure, especially the fibre orientation and the interstitial fibrosis, determines the electrical excitation and in further consequence the contractility in macroscopic as well as in microscopic areas. Modern image processing methods and parameters coul...

Three-dimensional (3D) computer graphics (CG) are useful for preoperative planning of neurosurgical operations. However, application of 3D CG to intraoperative navigation is not widespread because existing commercial operative navigation systems do not show 3D CG in sufficient detail. We have developed a microscopic optically tracking navigation system that uses high-resolution 3D CG. This arti...

In this paper, we propose a complete model for the image formation of 3D microscopic translucent object. This model is essentially composed of 3 steps. The first step is the modeling of an object. We define a 3D distribution of complex indexes of refraction. The second step is based on ray tracing and simulates the light propagation inside the specimen. We compute an light intensity volume. Fin...