Computational Optical Sectioning Microscopy Algorithms
Computational Optical Sectioning Microscopy Algorithms
批准号:
6473523
负责人:
JOSE-ANGEL CONCHELLO
金额:
$28.52万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-05-01 至 2003-05-31
中文摘要
描述(由申请人提供):三维荧光
英文摘要
DESCRIPTION (provided by applicant): Three dimensional (3D) fluorescence
microscopy is a powerful tool for the study of living specimens. 3D images are
normally obscured by out-of-focus blur and often artifactual due to the limited
band of spatial frequencies that the conventional fluorescence microscope can
image. These problems can be ameliorated by optical and/or computational
methods. A recent renaissance in optical microscopy has led to a wide variety
of approaches to overcome the out-of-focus blur and band-limitation (confocal
and partially confocal scanning, 2- and 3-photon fluorescence excitation,
standing wave, structured-fluorescence-excitation microscopes..). These
approaches improve the imaging properties, but they are not blur-free and
computational approaches further improve image quality. Computational methods
have gained acceptance as an alternative or complement to optical methods, but
their development has not enjoyed the fast pace of their optical counterparts.
Few commercially-available deconvolution packages exist, and most are based on
the first few algorithms developed for 3D deconvolution, including ad-hoc and
unconstrained methods unable compensate for the band-limitation of microscopes.
Significant improvements are possible with methods based on a thorough
mathematical model of the process of image formation and recording. The
long-term goals of the proposed research are: 1) To further develop
computational algorithms that account for the most significant sources of
degradation in the image. 2) To develop computational image estimation methods
for the newly-developed structured illumination microscope. 3) To provide
guidelines for the use of the algorithms and for their capabilities and
limitations. To achieve this goal we will first derive algorithms based on an
accurate model for the microscope and light detector then we will do a thorough
evaluation of these and other algorithms to assess their relative merits and to
provide guidelines for their use.
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COMPUTATIONAL OPTICAL SECTIONING MICROSCOPY ALGORITHMS
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批准号:2910317
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项目类别:
-
资助金额:$19.77万
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财政年份:1997
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
Computational Optical Sectioning Microscopy Algorithms
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批准号:6682927
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项目类别:
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资助金额:$26.48万
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财政年份:1997
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负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
Computational Optical Sectioning Microscopy Algorithms
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批准号:6796225
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项目类别:
-
资助金额:$24.48万
-
财政年份:1997
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
COMPUTATIONAL OPTICAL SECTIONING MICROSCOPY ALGORITHMS
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批准号:2701827
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项目类别:
-
资助金额:$19.37万
-
财政年份:1997
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
COMPUTATIONAL OPTICAL SECTIONING MICROSCOPY ALGORITHMS
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批准号:2024260
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项目类别:
-
资助金额:$23.13万
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财政年份:1997
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负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
RECONSTRUCTION OF PARTIALLY CONFOCAL IMAGES
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批准号:2187334
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项目类别:
-
资助金额:$14.72万
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财政年份:1993
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负责人:JOSE-ANGEL CONCHELLO
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依托单位:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
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批准号:2749943
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项目类别:
-
资助金额:$17.41万
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财政年份:1993
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
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批准号:2907740
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项目类别:
-
资助金额:$22.45万
-
财政年份:1993
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
RECONSTRUCTION OF PARTIALLY CONFOCAL IMAGES
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批准号:3308955
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项目类别:
-
资助金额:$14.25万
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财政年份:1993
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
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批准号:6180213
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项目类别:
-
资助金额:$22.26万
-
财政年份:1993
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
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批准号:6385829
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项目类别:
-
资助金额:$22.3万
-
财政年份:1993
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
-
批准号:2187336
-
项目类别:
-
资助金额:$19.76万
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财政年份:1993
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负责人:JOSE-ANGEL CONCHELLO
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依托单位:
3D RECONSTRUCTION OF PARTIALLY CONFOCAL IMAGES
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批准号:2187335
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项目类别:
-
资助金额:$12.25万
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财政年份:1993
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
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批准号:2459497
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项目类别:
-
资助金额:$17.08万
-
财政年份:1993
-
负责人:JOSE-ANGEL CONCHELLO
-
依托单位: