COMPUTATIONAL OPTICAL SECTIONING MICROSCOPY ALGORITHMS
计算光学切片显微镜算法
基本信息
- 批准号:2910317
- 负责人:
- 金额:$ 19.77万
- 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
- 起止时间:1997-05-01 至 2001-04-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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 because of the limited band
of spatial frequencies that the conventional fluorescence microscope
can image. These problems can be ameliorated by optical and/or
computational methods. The development of newer microscopes for
3D imaging has been fast paced resulting on a wide variety of
approaches to overcome the out-of focus blur and the band limitation
of conventional microscopes. These approaches include confocal and
partially confocal scanning microscopes, tow-photon and three-
photon fluorescence excitation, standing wave, among other. These
approaches improve the imaging properties but are not blur-free and
computational approaches may further improve image quality.
Despite the widespread availability of computers attached to
microscopes, computational deconvolution methods have not enjoyed
the fast and rich development of the optical instruments. There are
vary few commercially available deconvolution packages and even
those are based on the first few algorithms develop for 3D
deconvolution. These approaches improve the imaging properties
but are not blur-free and computational approaches may further
improve image quality. Despite the widespread availability of
computers attached to microscopes, computational deconvolution
methods have not enjoyed the fast and rich development of the
optical instruments. There are very few commercially available
deconvolution packages and even those are based on the first few
algorithms developed for 3D deconvolution. These algorithms are
only partially successful and significant improvements can be
obtained with algorithms that are based on a thorough mathematical
model for the microscope and the light detector. Furthermore, a
systematic evaluation of the exiting algorithms has not been done and
thus it is unclear what it is possible to achieve with them.
The long-term goal of the research proposed is to further develop
computational deconvolution algorithms that account for the most
significant sources of degradation in the image and 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.
三维(3D)荧光显微镜是一个强大的工具,
用于活体标本的研究 3D图像通常是模糊的
由于有限的频带,
传统荧光显微镜
可以想象。 这些问题可以通过光学和/或光学方法来改善。
计算方法 新型显微镜的发展,
3D成像已经快节奏,导致各种各样的
克服离焦模糊和频带限制的方法
传统显微镜的。 这些方法包括共焦和
部分共焦扫描显微镜,双光子和三-
光子荧光激发、驻波等。 这些
这些方法改善了成像特性,但不是无模糊的,
计算方法可以进一步提高图像质量。
尽管连接到计算机的广泛可用性,
显微镜,计算反卷积方法没有享受
光学仪器的快速和丰富的发展。 有
改变几个商业上可用的去卷积包,甚至
这些都是基于最初的几个算法开发的3D
反卷积 这些方法改善了成像特性
但是不是无模糊的,并且计算方法还可以
提高图像质量。 尽管广泛使用
计算机连接到显微镜,计算反卷积
方法没有享受快速和丰富的发展,
光学仪器. 市面上很少有
反卷积软件包,甚至那些是基于前几个
为3D反卷积开发的算法。 这些算法
只有部分成功和重大的改进,
通过基于彻底数学的算法获得
显微镜和光探测器的模型。 而且有
还没有对现有算法进行系统的评估,
因此,不清楚用它们可以实现什么。
该研究提出的长期目标是进一步发展
计算反卷积算法,占大多数
图像退化的重要来源,并提供
使用算法及其能力的准则,
局限性。
为了实现这一目标,我们将首先推导出基于
显微镜和光探测器的精确模型,然后我们将做
对这些算法和其他算法进行全面评估,以评估其
的相对优点,并提供使用指南。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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JOSE-ANGEL CONCHELLO其他文献
JOSE-ANGEL CONCHELLO的其他文献
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{{ truncateString('JOSE-ANGEL CONCHELLO', 18)}}的其他基金
Computational Optical Sectioning Microscopy Algorithms
计算光学切片显微镜算法
- 批准号:
6682927 - 财政年份:1997
- 资助金额:
$ 19.77万 - 项目类别:
Computational Optical Sectioning Microscopy Algorithms
计算光学切片显微镜算法
- 批准号:
6796225 - 财政年份:1997
- 资助金额:
$ 19.77万 - 项目类别:
COMPUTATIONAL OPTICAL SECTIONING MICROSCOPY ALGORITHMS
计算光学切片显微镜算法
- 批准号:
2701827 - 财政年份:1997
- 资助金额:
$ 19.77万 - 项目类别:
Computational Optical Sectioning Microscopy Algorithms
计算光学切片显微镜算法
- 批准号:
6473523 - 财政年份:1997
- 资助金额:
$ 19.77万 - 项目类别:
COMPUTATIONAL OPTICAL SECTIONING MICROSCOPY ALGORITHMS
计算光学切片显微镜算法
- 批准号:
2024260 - 财政年份:1997
- 资助金额:
$ 19.77万 - 项目类别:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
显微图像的参数盲解卷积
- 批准号:
2749943 - 财政年份:1993
- 资助金额:
$ 19.77万 - 项目类别:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
显微图像的参数盲解卷积
- 批准号:
2907740 - 财政年份:1993
- 资助金额:
$ 19.77万 - 项目类别:
PARAMETRIC BLIND DECONVOLUTION OF MICROSCOPIC IMAGES
显微图像的参数盲解卷积
- 批准号:
6180213 - 财政年份:1993
- 资助金额:
$ 19.77万 - 项目类别: