Document Detail


Experimental demonstration of an optical-sectioning compressive sensing microscope (CSM).
MedLine Citation:
PMID:  21164803     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
In this paper we present the design and implementation of a Compressive Sensing Microscopy (CSM) imaging system, which uses the Compressive Sensing (CS) method to realize optical-sectioning imaging. The theoretical aspect of the proposed system is investigated using the mathematical model of the CS method and an experimental prototype is constructed to verify the CSM design. Compared to conventional optical-sectioning microscopes (such as Laser Scanning Confocal Microscopes (LSCMs) or Programmable Array Microscopes (PAMs)), the CSM system realizes optical-sectioning imaging using a single-pixel photo detector and without any mechanical scanning process. The complete information of the imaging scene is reconstructed from the CS measurements numerically.
Authors:
Yuehao Wu; Peng Ye; Iftekhar O Mirza; Gonzalo R Arce; Dennis W Prather
Related Documents :
22003623 - Robust and fast contrast inflow detection for 2d x-ray fluoroscopy.
21835643 - Comparison of transthoracic and transesophageal 2-dimensional speckle tracking echocard...
16173163 - What do neurologists think about their role in neuroimaging training and practice?
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Optics express     Volume:  18     ISSN:  1094-4087     ISO Abbreviation:  Opt Express     Publication Date:  2010 Nov 
Date Detail:
Created Date:  2010-12-17     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101137103     Medline TA:  Opt Express     Country:  United States    
Other Details:
Languages:  eng     Pagination:  24565-78     Citation Subset:  IM    
Affiliation:
Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware 19716, USA. wyh@udel.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Experimental demonstration of a single-carrier frequency division multiple address based PON (SCFDMA...
Next Document:  Raman mixture composition and flow velocity imaging with high repetition rates.