课题基金 / 基金详情

IMPROVED CLASSIFIERS FOR AUTOMATED MULTIPLEX FISH

IMPROVED CLASSIFIERS FOR AUTOMATED MULTIPLEX FISH
改进的自动化多重鱼分类器
批准号:
6294033
负责人:
KENNETH R. CASTLEMAN
金额:
$10.0万
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-07-09 至 2002-07-09

项目摘要

项目成果

KENNETH R. CASTLEMAN的其他基金

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中文摘要
翻译
描述(摘要,来自应用程序):自动核型分析是一种 在世界各地的细胞遗传学实验室中的重要程序。多重荧光In 原位杂交(M-FISH)是近年来发展起来的一种多色杂交技术 染色体涂抹探针和多光谱图像分析识别细微 和复杂的染色体重排。它承诺将使自动化 核型分析更快、更准确、更容易在临床上解释 在癌症研究方面也是如此。限制这一能力的主要因素 M-FISH技术解决异常染色体中DNA的染色体起源问题 像素分类精度。这个项目的目标是开发改进的 M-FISH显著提高像素精度的软件技术 在M-FISH系统中分类,但最大限度地影响这一点很重要 细胞遗传学实践中的新技术。这些乐器都是 现在市面上只实现了基本的像素分类 识别DNA同源基因来源的算法。在这个项目中,我们 将最先进的模式识别技术应用到M-FISH中,以改进 像素分类精度远远超过目前商业广告提供的精度 系统。改进后的M-FISH系统将自动找到 并标明细微和复杂的结构异常(插入和 遗传物质的易位)协助癌症研究和基因工程 诊断。一旦我们在第一阶段确定了可行性,我们将使用第一阶段 全面开展改进工作,并在常规临床中对系统进行测试 外周羊膜穿刺术在产前、产后和肿瘤标本中的应用 血液和骨髓。这些增强功能将集成到PSI的M-FISH中 仪器,目前是细胞遗传学自动化的Powergene系列的一部分 产品。由此产生的商业票据将优于目前的 可用于阐明染色体内结构重排的系统。 建议的商业应用: 一旦新技术被开发出来并有资格用于常规应用,他们就会 将被整合到PSI的细胞遗传学自动化设备的Powergene产品线中, 无论是在销售的新系统中还是作为对已在使用的现有系统的升级 细胞遗传学实验室。新开发的染色体绘画探针将被添加到PSI的 试剂生产线,从而使该技术迅速商业化。
英文摘要
DESCRIPTION (Abstract, from the application): Automated karyotyping is an important procedure in cytogenetics labs worldwide. Multiplex fluorescence in situ hybridization (M-FISH) is a recent development that uses multicolor chromosome painting probes and multispectral image analysis to identify subtle and complex chromosomal rearrangements. It promises to make automated karyotyping faster, more accurate, and easier to interpret both in clinical situation and in cancer research. The major factor limiting the ability of M-FISH to resolve the chromosomal origin of the DNA in abnormal chromosomes is pixel classification accuracy. The goal of this project to develop improved software techniques for M-FISH to improve significantly the accuracy of pixel classification in M-FISH systems, but maximizing the impact of this important new technology on the practice of cytogenetics. The instruments that are commercially available now implement only rudimentary pixel classification algorithms for identifying the homologue origin of DNA. In this project, we will apply state-of-the-art pattern recognition techniques to M-FISH to improve pixel classification accuracy far beyond what is current offered by commercial systems. The improved M-FISH system that will result will automatically find and flag both subtle and complex structural abnormalities (insertions and translocations of genetic material) assisting both cancer research and genetic diagnosis. Once we have established feasibility in Phase I, we will use Phase II to develop the improvements fully and test the system in routine clinical use on prenatal, postnatal and cancer specimens from amniocentesis, peripheral blood, and bone marrow. The enhancements will be integrated into PSI's M- FISH instrument, currently part of the PowerGene line of cytogenetics automation products. The resulting commercial instrument will be superior to currently available systems for elucidating structural rearrangements within chromosomes. PROPOSED COMMERCIAL APPLICATION: As soon as the new techniques are developed and qualified for routine application, they will be incorporated into PSI's PowerGene product line of cytogenetics automation equipment, both in new systems sold and as an upgrade to existing systems already in use in cytogenetics labs. Newly developed chromosome painting probes will be added to PSI's reagent product line, thus commercializing the technology quickly.
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Improved Classifiers for Multiplex FISH
Improved Classifiers for Multiplex FISH
AUTOMATED COLOR KARYOTYPING
  • 批准号:
    2026718
  • 项目类别:
  • 资助金额:
    $9.95万
  • 财政年份:
    1997
  • 负责人:
    KENNETH R. CASTLEMAN
  • 依托单位:
WAVELET BASED AUTOMATED CHROMOSOME IDENTIFICATION