How cells move and navigate within a 3D tissue mass is of central importance in such diverse problems as embryonic development, wound healing and metastasis. This locomotion can now be visualized and quantified using ...
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How cells move and navigate within a 3D tissue mass is of central importance in such diverse problems as embryonic development, wound healing and metastasis. This locomotion can now be visualized and quantified using computational optical-sectioning microscopy, which permits non-destructive 3D imaging of living specimens over long time periods. This technique, however, presents several technical challenges. Image restoration methods must be fast enough to process numerous I Gbyte time-lapse data sets (16 Mbytes per 3D image/spl times/60 time points). Because some cells are weakly labeled and background intensity is often high due to unincorporated dye, the SNR in some of these images is poor. Also required are accurate, automated-tracking procedures to generate both 3D trajectories for individual cells and 3D flows for a group of cells. Finally, sophisticated visualization techniques are needed to view the 3D movies of cell locomotion. Here, I discuss our current approaches to these problems and note present limitations.< >
An interactive graphic viewer, ChromoScope, was developed to explore scientific visualization of complicated genome data. Escherichia coli was selected as the test organism. An ASN.1 data set has been built for the en...
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An interactive graphic viewer, ChromoScope, was developed to explore scientific visualization of complicated genome data. Escherichia coli was selected as the test organism. An ASN.1 data set has been built for the entire E. Coli chromosome, including a genetic map, a physical (ordered restriction) map, the alignment between the two maps, Kohara clones and some short repeat features. The E. coli sequence is modeled as a segmented sequence, incorporating both the sequence and the physical map data. The alignment between the contig and the published sequences is stored as sequence history, allowing direct access to the same sequence in the public databases. The alignment is displayed graphically, with both the sequence alignment and feature annotations. The alignment viewer also supports a detailed text display, providing information to resolution at residue level with annotated features.< >
We have developed a new computer language that describes three-dimensional graphical objects in visual simulation. The language, 3D-Talk is a powerful tool for visualizing the process of protein folding simulation. 3D...
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We have developed a new computer language that describes three-dimensional graphical objects in visual simulation. The language, 3D-Talk is a powerful tool for visualizing the process of protein folding simulation. 3D-Talk is designed as an object-oriented language with which users can create, manipulate, and edit graphical objects using commands with a syntax similar to that of a natural language. We developed two novel molecular biology applications using 3D-Talk. The first, ProView, is a protein visualization tool. ProView converts PDB (Protein Data Bank) data into 3D-Talk statements. The second is a visual simulation system for protein folding. It simulates the motion of protein folding using simulated annealing techniques and Hidden Markov Models. In short, 3D-Talk serves as a powerful animation tool.< >
There is a need for frameless guidance systems to help neurosurgeons to plan the exact location of a craniotomy, to define the margins of tumors and to precisely identify locations of neighboring critical structures. ...
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There is a need for frameless guidance systems to help neurosurgeons to plan the exact location of a craniotomy, to define the margins of tumors and to precisely identify locations of neighboring critical structures. We have developed an automatic technique for registering clinical data, such as segmented MRI or CT reconstructions, with the patient's head on the operating table. A second method calibrates the position of a video camera relative to the patient. The combination allows a visual mix of live video of the patient with the segmented 3D MRI or CT model, enabling enhanced reality techniques for planning and guiding neurosurgical procedures, and to interactively view extracranial or intracranial structures non-intrusively. Extensions of the method include image guided biopsies, focused therapeutic procedures and clinical studies involving change detection over time sequences of images.< >
The automatic visualization and quantitative analysis of cardiac SPECT data requires the ability to automatically segment and extract voxels representing the heart. The attributes of the 3D data make this task quite c...
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This paper presents an environment for telecollaborative data exploration. It provides the following capabilities essential to data exploration: (1) users can probe the data, defining regions of interest with arbitrar...
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ISBN:
(纸本)9780818639401
This paper presents an environment for telecollaborative data exploration. It provides the following capabilities essential to data exploration: (1) users can probe the data, defining regions of interest with arbitrary shapes. (2) The selected data can be transformed and displayed in many different ways. (3) Linked cursors can be established between several windows showing data sets with arbitrary relationships. (4) Data can be displayed on any screen across a computer network, allowing for telecollaboration arrangements with linked cursors around the world. (5) Our system is user-extensible, allowing programmers to change any component of it while keeping the remaining functionality. We demonstrate how the system can be used in several applications, such as biomedical imaging, robotics, and wood classification.< >
The automatic visualization and quantitative analysis of cardiac SPECT data requires the ability to automatically segment and extract voxels representing the heart. The attributes of the 3D data make this task quite c...
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The automatic visualization and quantitative analysis of cardiac SPECT data requires the ability to automatically segment and extract voxels representing the heart. The attributes of the 3D data make this task quite challenging. The authors attempt to address these issues and propose an algorithm which successfully detects the voxels belonging to the left ventricle (LV) of the heart and filters out the noise and all other interfering organs. The algorithm relies on various image processing and pattern analysis techniques as well as the constraints put forward by the anatomy. The final outcome of this algorithm is a segmented 3D dataset containing voxels pertaining only to the LV. This filtered dataset is then employed for automatic determination of LV orientation. The results show that this methodology is a very promising approach to segmentation of cardiac SPECT imagery.< >
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