EconPapers    
Economics at your fingertips  
 

Immersive Visualization of Cellular Structures

Sinan Kockara, Nawab Ali and Serhan Dagtas
Additional contact information
Sinan Kockara: University of Arkansas at Little Rock
Nawab Ali: University of Arkansas at Little Rock
Serhan Dagtas: University of Arkansas at Little Rock

Chapter 17 in Data Engineering, 2009, pp 389-402 from Springer

Abstract: Abstract BioimagingBioimaging is an immensely powerful tool in biomedical research that aids the understanding of cellular structures and the molecular events in the cell. Understanding the biological functions within the cell requires an in-depth understanding of all the diverse functions of the microscopic structures and the molecular interactions between macromolecules in their natural environment. Traditionally, cell biologists have used light microscopy techniques to study topographical characterization of cell surfaces. The optical properties of a light microscope give occasion to a blurring phenomenon similar to the one with a conventional microscope with the result that images are characterized by low resolution and magnification. We address the challenging task of enhancing the image produced by a light microscope by reconstructing a stack of monoscopic images from a light microscope to produce a single image with inferential and useful information than that obtained at the best focus level. We believe such an approach will enable a wider base of microscope users to take advantage of light microscope imaging in biological research.

Keywords: Virtual Reality; Texture Mapping; Layer Image; Focus Level; Immersive Virtual Reality (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-0176-7_17

Ordering information: This item can be ordered from
http://www.springer.com/9781441901767

DOI: 10.1007/978-1-4419-0176-7_17

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-1-4419-0176-7_17