Computerized Image Analysis of Biological Data in Under- graduate Instruction
Computerized Image Analysis of Biological Data in Under- graduate Instruction
批准号:
8853194
负责人:
Matthew Temple
金额:
$1.1万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1988
资助国家:
美国
项目状态:
已结题
起止时间:
1988-08-15 至 1991-01-31
中文摘要
该系致力于为学生的视觉数据带来定量的深度和严谨,安装三个互补的系统:(1)计算机图像分析仪;(2)彩色摄像机和录像机;以及(3)诺马尔斯基光学设备,以升级现有的相差显微镜。这种设备与1985年通过NSF拨款获得的荧光显微镜一起,使图像分析能够立即引入这些实验室课程:细胞生物学、免疫学、遗传学、植物生物学、生物系统、非专业当代生物学和高级研究。计算机图像分析使学生能够准确、快速地测量微观和一些宏观物体的大小、形状和密度,对这些数据进行统计分析,并将图像和统计数据合并到计算机生成的单一实验报告中。该项目使高水平和低水平的生物学学生都能将最初对视觉数据的定性感知转化为得到统计支持的结论。接受资助的机构正在将NSF的奖励与从非联邦来源获得的同等金额相匹配。
英文摘要
This department is committed to bringing quantitative depth and rigor to students' visual data by installing three complementary systems: (1) a computerized image analyzer; (2) a color video camera and recorder; and (3) Nomarski optics to upgrade an existing phase- contrast microscope. This equipment, along with a fluorescence photomicroscope obtained through a NSF grant in 1985, enables the immediate introduction of image analysis into these laboratory courses: Cell Biology, Immunology, Genetics, Plant Biology, Biological Systems, Contemporary Biology for non-majors, and Senior Research. Computerized image analysis enables students to accurately and rapidly measure the size, shape and density of microscopic and some macroscopic objects, to statistically analyze these data, and to incorporate images and statistics into a single computer-generated lab report. The project enables both upper- and lower-level biology students to transform initial qualitative perceptions of visual data into statistically-supported conclusions. The grantee institution is matching the NSF award with an equal sum obtained from non-Federal sources.
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会议论文
Fluorescence Microscopy and Photomicroscopy Equipment to Support Undergraduate Biology Instruction
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批准号:8551166
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项目类别:Standard Grant
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资助金额:$0.89万
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财政年份:1985
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负责人:Matthew Temple
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依托单位:
国内基金
海外基金
基于CE-3及IMAGE卫星地球等离子体层EUV探测数据的反演研究
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批准号:41904148
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项目类别:青年科学基金项目
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资助金额:27.0万元
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批准年份:2019
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负责人:黄娅
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依托单位:
Raw-Image微小物体高精度位姿测量法
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批准号:61105029
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项目类别:青年科学基金项目
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资助金额:22.0万元
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批准年份:2011
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负责人:宋薇
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依托单位: