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Digital Fish Library

Digital Fish Library
数字鱼类图书馆
批准号:
0446389
负责人:
Lawrence Frank
金额:
$246.51万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-06-01 至 2011-05-31
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中文摘要
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The University of California at San Diego is awarded a grant to digitize a representative sample of the Marine Vertebrates Collection (MVC) at the Scripps Institution of Oceanography (SIO), among the largest and most comprehensive collections of its kind in the world. It is a significant research resource for many scientists and also holds great potential as an educational resource. However, long-term maintenance of specimen integrity is often in conflict with specimen usage (e.g., dissection) and transfer of specimens is costly and involves potential risk to specimens. Moreover, accessibility to the MVC is necessarily restricted, limiting the potential scope of educational uses. Magnetic resonance imaging (MRI) is unique in its ability to non-invasively acquire high-resolution 3- dimensional (3D) digital data from soft tissue structures. Recent collaborative work between the UCSD Center for Functional MRI (CFMRI) and researchers at SIO has shown that MRI can effectively be used to non-invasively visualize and quantify the internal anatomy of fishes, and can potentially increase the effectiveness of both the research and educational uses of the MVC. In this award Digital Fish Library (DFL) will be developed that includes 1. Collection of high-resolution 3D MRI images of specimens that cover the range of morphological diversity in fishes with special emphasis on the strengths of the MVC; 2. Development of a public DFL web site for data retrieval, visualization, and quantitative analysis of the MRI data from the MVC, including integration of the data with extant databases and with data collected from other methodologies; 3. Development, in collaboration with the Birch Aquarium at Scripps (BAS), of the Digital Dissection Tool (DDT), an educational program embedded within the DFL site. Aimed at high-school science students, it uses the MRI data from the MVC and the image analysis tools within the DFL, and is supplemented by educational modules on the basic scientific areas involved in the DFL. This tool will be tested in the Academic Connections Program (ACP), a college preparatory high school level curriculum run through UCSD. Successful completion of this project will establish a digital library of approximately 1000 MVC specimens available to researchers, students, and educators on the internet for quantitative analysis, visualization, or bioinformatics purposes. In addition, an educational tool will be produced that is appropriate for high school students and above for learning about fish anatomy, MRI, bioinformatics, and the application of digital image analysis methods to marine biology.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1242/jeb.022814
发表时间: 2009-02-15
期刊: JOURNAL OF EXPERIMENTAL BIOLOGY
影响因子: 2.8
作者: [Runcie, Rosa M., Dewar, Heidi, Dickson, Kathryn A.]
通讯作者: Dickson, Kathryn A.
DOI: 10.1111/j.1095-8649.2007.01446.x
发表时间: 2007-06
期刊: Journal of Fish Biology
影响因子: 2
作者: [C. Sepulveda;K. Dickson;L. Frank;J. Graham]
通讯作者: C. Sepulveda;K. Dickson;L. Frank;J. Graham
Brain Size and Brain Organization of the Whale Shark, Rhincodon typus, Using Magnetic Resonance Imaging
使用磁共振成像研究鲸鲨(犀牛鲨)的大脑大小和大脑组织
DOI: 10.1159/000235962
发表时间: 2009
期刊: Behavior and Evolution
影响因子: --
作者: [Yopak, Kara E., Frank, Lawrence R.]
通讯作者: Frank, Lawrence R.
Utilizing magnetic resonance imaging (MRI) to assess the effects of angling-induced barotrauma on rockfish (Sebastes)
利用磁共振成像 (MRI) 评估钓鱼引起的气压伤对石斑鱼 (Sebastes) 的影响
DOI: 10.1139/f08-102
发表时间: 2008
期刊: Canadian Journal of Fisheries and Aquatic Sciences
影响因子: 2.4
作者: [Rogers, Bonnie L., Lowe, Christopher G., Fernández-Juricic, Esteban, Frank, Lawrence R.]
通讯作者: Frank, Lawrence R.
Collaborative Research: Detection and Estimation of Multi-Scale Complex Spatiotemporal Processes in Tornadic Supercells from High Resolution Simulations and Multiparameter Radar
  • 批准号:
    2114860
  • 项目类别:
    Standard Grant
  • 资助金额:
    $80.23万
  • 财政年份:
    2021
  • 负责人:
    Lawrence Frank
  • 依托单位:
INSPIRE: Quantitative Estimation of Space-Time Processes in Volumetric Data (QUEST)
  • 批准号:
    1550405
  • 项目类别:
    Standard Grant
  • 资助金额:
    $99.96万
  • 财政年份:
    2016
  • 负责人:
    Lawrence Frank
  • 依托单位:
SI2-SSE: Wavelet Enabled Progressive Data Access and Storage Protocol (WASP)
  • 批准号:
    1440412
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2014
  • 负责人:
    Lawrence Frank
  • 依托单位:
COLLABORATIVE RESEARCH: ABI Innovation: Shape Analysis for Phenomics with 3D Imaging Data
  • 批准号:
    1147260
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $129.11万
  • 财政年份:
    2012
  • 负责人:
    Lawrence Frank
  • 依托单位:
国内基金
海外基金
运用AI+FISH新技术探讨卵巢癌HER2免疫组化传统阴性患者对新型ADC药物的精准应用
  • 批准号:
    2026JJ80154
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    李巧燕
  • 依托单位:
通过重测序和 FISH 定位建立豚鼠 SSR 遗传检 测方法的研究
  • 批准号:
    TGD24C040008
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    卫振
  • 依托单位:
基于单倍型Oligo-FISH的黄瓜-酸黄瓜减数分裂染色体动力学及种间渐渗机制研究
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    赵勤政
  • 依托单位:
基于重复序列Oligo-FISH的菊属植物染色体组组成与系统演化研究
  • 批准号:
    32172613
  • 项目类别:
    面上项目
  • 资助金额:
    50万元
  • 批准年份:
    2021
  • 负责人:
    王海滨
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