课题基金 / 基金详情

AUTOMATED COLOR KARYOTYPING

AUTOMATED COLOR KARYOTYPING
自动颜色核型分析
批准号:
2026718
负责人:
KENNETH R. CASTLEMAN
金额:
$9.95万
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:
1997-05-15 至 1998-04-30

项目摘要

项目成果

KENNETH R. CASTLEMAN的其他基金

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中文摘要
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英文摘要
DESCRIPTION: (Adapted from the Applicant's Abstract): The Goal of this project is to develop improved hardware, software and specimen preparation techniques to make the automated karyotyping of human cells significantly faster, more accurate, and easier to interpret by using multicolor chromosome painting probes and multispectral image analysis. In phase I, the investigators will evaluate combinatorial and ratio labeling and the use of DNA obtained from somatic cell hybrids and from microdissection. Ultimately they will develop fluorescence in situ hybridization (FISH) specimen preparation techniques to label uniquely all 24 human chromosome types using mixtures of fluorophores in chromosome painting probes. They propose to develop an instrument with a special multispectrual CCD camera and new image analysis software to identify the homologue origin of DNA by color alone. Combined with conventional morphological and banding information this is intended to produce a near- error-free karyotype, significantly reducing the operator time required for interactive error correction and thereby increasing the instrument's throughput rate. The color karyotype will show numerical and gross structural abnormalities, and the image analysis will flag translocations of genetic material, further assisting diagnosis. The investigators will test the system on postnatal and cancer specimens from bone marrow and peripheral blood. When fully developed, the new technology will be integrated into IRIS's existing line of cytogenetics automation products. This will result in commercial instruments that are more effective in automated karyotyping and can more accurately detect and elucidate small structural rearrangements within chromosomes.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Classification accuracy in multiple color fluorescence imaging microscopy.
多色荧光成像显微镜的分类准确性。
DOI: --
发表时间: 2000
期刊: Cytometry.
影响因子: --
作者: [Castleman,KR, Eils,R, Morrison,L, Piper,J, Saracoglu,K, Schulze,MA, Speicher,MR]
通讯作者: Speicher,MR
IMPROVED CLASSIFIERS FOR AUTOMATED MULTIPLEX FISH
Improved Classifiers for Multiplex FISH
Improved Classifiers for Multiplex FISH
WAVELET-BASED AUTOMATED CHROMOSOME IDENTIFICATION