Literature DB >> 21806243

Monte Carlo fluorescence microtomography.

Alexander X Cong, Matthias C Hofmann, Wenxiang Cong, Yong Xu, Ge Wang.   

Abstract

Fluorescence microscopy allows real-time monitoring of optical molecular probes for disease characterization, drug development, and tissue regeneration. However, when a biological sample is thicker than 1 mm, intense scattering of light would significantly degrade the spatial resolution of fluorescence microscopy. In this paper, we develop a fluorescence microtomography technique that utilizes the Monte Carlo method to image fluorescence reporters in thick biological samples. This approach is based on an l(0)-regularized tomography model and provides an excellent solution. Our studies on biomimetic tissue scaffolds have demonstrated that the proposed approach is capable of localizing and quantifying the distribution of optical molecular probe accurately and reliably.

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Year:  2011        PMID: 21806243      PMCID: PMC3144969          DOI: 10.1117/1.3596171

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  11 in total

1.  Uniqueness theorems in bioluminescence tomography.

Authors:  Ge Wang; Yi Li; Ming Jiang
Journal:  Med Phys       Date:  2004-08       Impact factor: 4.071

Review 2.  Fluorescence microscopy.

Authors:  Jeff W Lichtman; José-Angel Conchello
Journal:  Nat Methods       Date:  2005-12       Impact factor: 28.547

3.  In vivo imaging of Drosophila melanogaster pupae with mesoscopic fluorescence tomography.

Authors:  Claudio Vinegoni; Chrysoula Pitsouli; Daniel Razansky; Norbert Perrimon; Vasilis Ntziachristos
Journal:  Nat Methods       Date:  2007-12-09       Impact factor: 28.547

4.  Practical reconstruction method for bioluminescence tomography.

Authors:  Wenxiang Cong; Ge Wang; Durairaj Kumar; Yi Liu; Ming Jiang; Lihong Wang; Eric Hoffman; Geoffrey McLennan; Paul McCray; Joseph Zabner; Alexander Cong
Journal:  Opt Express       Date:  2005-09-05       Impact factor: 3.894

5.  Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration.

Authors:  Erik Alerstam; Tomas Svensson; Stefan Andersson-Engels
Journal:  J Biomed Opt       Date:  2008 Nov-Dec       Impact factor: 3.170

6.  Multilevel bioluminescence tomography based on radiative transfer equation Part 1: l1 regularization.

Authors:  Hao Gao; Hongkai Zhao
Journal:  Opt Express       Date:  2010-02-01       Impact factor: 3.894

7.  MCML--Monte Carlo modeling of light transport in multi-layered tissues.

Authors:  L Wang; S L Jacques; L Zheng
Journal:  Comput Methods Programs Biomed       Date:  1995-07       Impact factor: 5.428

8.  Differential evolution approach for regularized bioluminescence tomography.

Authors:  Alexander Cong; Wenxiang Cong; Yujie Lu; Peter Santago; Arion Chatziioannou; Ge Wang
Journal:  IEEE Trans Biomed Eng       Date:  2010-02-17       Impact factor: 4.538

9.  Fabrication and mechanical characterization of 3D electrospun scaffolds for tissue engineering.

Authors:  L D Wright; R T Young; T Andric; J W Freeman
Journal:  Biomed Mater       Date:  2010-09-15       Impact factor: 3.715

10.  Source reconstruction for spectrally-resolved bioluminescence tomography with sparse a priori information.

Authors:  Yujie Lu; Xiaoqun Zhang; Ali Douraghy; David Stout; Jie Tian; Tony F Chan; Arion F Chatziioannou
Journal:  Opt Express       Date:  2009-05-11       Impact factor: 3.894

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  2 in total

1.  A fiber-optic-based imaging system for nondestructive assessment of cell-seeded tissue-engineered scaffolds.

Authors:  Matthias C Hofmann; Bryce M Whited; Tracy Criswell; Marissa Nichole Rylander; Christopher G Rylander; Shay Soker; Ge Wang; Yong Xu
Journal:  Tissue Eng Part C Methods       Date:  2012-05-10       Impact factor: 3.056

Review 2.  Recent methodology advances in fluorescence molecular tomography.

Authors:  Yu An; Kun Wang; Jie Tian
Journal:  Vis Comput Ind Biomed Art       Date:  2018-09-05
  2 in total

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