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Open source software for laser scanning microscopy

Open source software for laser scanning microscopy
用于激光扫描显微镜的开源软件
批准号:
7037640
负责人:
Karel Svoboda
金额:
$28.63万
依托单位国家:
美国
项目类别:
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-06-01 至 2008-03-31

项目摘要

项目成果

Karel Svoboda的其他基金

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中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Over the last decade the availability of new laser light sources and modern data acquisition engines has dramatically increased the range of applications of laser scanning microscopy (LSM). Today, LSM includes some of the most important optical imaging modalities in biology, including confocal and 2-photonmicroscopy. LSM is central to research in neurobiology, cancer research, immunology, pathology, developmental biology and other fields of research. Experimental systems amenable to LSM range from single biomolecules to whole living animals. Although numerous commercial LSMs exist, the most interesting and challenging applications of LSM demand custom hardware and software. However, few investigators have attempted this approach, mainly because of the difficulty of writing the complex software required to run a laser scanning microscope. Open source software for laser scanning microscopy is not available. In our laboratory we have developed a powerful program to control a laser scanning microscope. This program, Scanlmage, performs all of the typical functions a LSM performs with important advantages, i) Scanlmage is almost entirely written in Matlab, thereby fusing image acquisition with one of the most sophisticated image analysis environments; ii) Scanlmage uses a novel approach to signal conditioning and integration, and does not require complex custom electronics, removing significant obstacles to custom design; iii) Scanlmage miswritten in a modular and object-oriented style, making it easily expandable to accommodate emerging technologies. We propose to produce on-line help and documentation for Scanlmage and make the software available open source. We further propose to develop new modules for Scanlmage to address the need to integrate LSM with new imaging technologies. These new modules will include random access laser scanning, the simultaneous operation of two scanners (e.g. one for imaging and the other for photolytic release of bioactive substances), and the combination of laser scanning microscopy and fluorescence lifetime imaging. We believe that Scanlmage will facilitate exciting biological discovery in numerous laboratories.
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Data Science Core
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  • 项目类别:
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  • 财政年份:
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  • 项目类别:
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