Document Detail


Parameter-optimized digital holographic microscope for high-resolution living-cell analysis.
MedLine Citation:
PMID:  15646774     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A parameter-optimized off-axis setup for digital holographic microscopy is presented for simultaneous, high-resolution, full-field quantitative amplitude and quantitative phase-contrast microscopy and the detection of changes in optical path length in transparent objects, such as undyed living cells. Numerical reconstruction with the described nondiffractive reconstruction method, which suppresses the zero order and the twin image, requires a mathematical model of the phase-difference distribution between the object wave and the reference wave in the hologram plane. Therefore an automated algorithm is explained that determines the parameters of the mathematical model by carrying out the discrete Fresnel transform. Furthermore the relationship between the axial position of the object and the reconstruction distance, which is required for optimization of the lateral resolution of the holographic images, is derived. The lateral and the axial resolutions of the system are discussed and quantified by application to technical objects and to living cells.
Authors:
Daniel Carl; Björn Kemper; Günther Wernicke; Gert von Bally
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Applied optics     Volume:  43     ISSN:  0003-6935     ISO Abbreviation:  Appl Opt     Publication Date:  2004 Dec 
Date Detail:
Created Date:  2005-01-13     Completed Date:  2005-04-05     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0247660     Medline TA:  Appl Opt     Country:  United States    
Other Details:
Languages:  eng     Pagination:  6536-44     Citation Subset:  IM    
Affiliation:
Laboratory of Biophysics, University of Münster, Robert-Koch-Strasse 45, D-48129 Münster, Germany. dcarl@uni-muenster.de
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Cluster Analysis
Equipment Design
Equipment Failure Analysis
Holography / instrumentation,  methods*
Humans
Image Enhancement / instrumentation,  methods*
Image Interpretation, Computer-Assisted / instrumentation,  methods*
Liver Neoplasms / pathology*
Microscopy / instrumentation,  methods
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Tumor Cells, Cultured

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


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