Visualizing Cells and Humans in 3D: Biomedical Image Analysis at Nanometer and Meter Scales
| Autor: | Lisa M. Hartnell, Donald Bliss, G. E. Murphy, Kedar Narayan, Sriram Subramaniam, Bradley C. Lowekamp, Terry S. Yoo, D. T. Chen, Thao Do |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Diagnostic Imaging
Male Computer science Scanning electron microscope Cytological Techniques Image processing projects Computer graphics Mice Imaging Three-Dimensional Data visualization Cell Line Tumor Computer graphics (images) Microscopy Computer Graphics Animals Humans Computer vision Graphics Image resolution business.industry Visible human project Visible Human Projects Computer Graphics and Computer-Aided Design Cellular Structures Visualization projects.project Feature (computer vision) Female Artificial intelligence business Software |
| Zdroj: | IEEE Computer Graphics and Applications. 32:39-49 |
| ISSN: | 0272-1716 |
| Popis: | Researchers analyzed and presented volume data from the Visible Human Project (VHP) and data from high-resolution 3D ion-abrasion scanning electron microscopy (IA-SEM). They acquired the VHP data using cryosectioning, a destructive approach to 3D human anatomical imaging resulting in whole-body images with a field of view approaching 2 meters and a minimum resolvable feature size of 300 microns. IA-SEM is a type of block-face imaging microscopy, a destructive approach to microscopic 3D imaging of cells. The field of view of IA-SEM data is on the order of 10 microns (whole cell) with a minimum resolvable feature size of 15 nanometers (single-slice thickness). Despite the difference in subject and scale, the analysis and modeling methods were remarkably similar. They are derived from image processing, computer vision, and computer graphics techniques. Moreover, together we are employing medical illustration, visualization, and rapid prototyping to inform and inspire biomedical science. By combining graphics and biology, we are imaging across nine orders of magnitude of space to better promote public health through research. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|