Software tools, data structures, and interfaces for microscope imaging.
Software tools, data structures, and interfaces for microscope imaging.
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用于显微镜成像的软件工具、数据结构和接口。
DOI：
10.1101/pdb.top067504
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发表时间：
2012
影响因子：
--
通讯作者：
Stuurman N
中科院分区：
文献类型：
--
作者：
Stuurman N
The arrival of electronic photodetectors in biological microscopy has led to a revolution in the application of imaging in cell and developmental biology. The extreme photosensitivity of electronic photodetectors has enabled the routine use of multidimensional data acquisition spanning space and time and spectral range in live cell and tissue imaging. These techniques have provided key insights into the molecular and structural dynamics of living biology. However, digital photodetectors offer another advantage—they provide a linear mapping between the photon flux coming from the sample and the electronic sample they produce. Thus, an image presented as a visual representation of the sample is also a quantitative measurement of photon flux. These quantitative measurements are the basis of subsequent processing and analysis to improve signal contrast, to compare changes in the concentration of signal, and to reveal changes in cell structure and dynamics. For this reason, many laboratories and companies have committed their resources to software development, resulting in the availability of a large number of image-processing and analysis packages. In this article, we review the software tools for image data analysis that are now available and give some examples of their use in imaging experiments to reveal new insights into biological mechanisms. In our final section, we highlight some of the new directions for image analysis that are significant unmet challenges and present our own ideas for future directions.
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日记
DOI：
--
发表时间：
--
期刊：
Camden Fifth Series
影响因子：
--
作者：
Christoph Mayr;Michael Vierhauser;Stefan Bichler;Felix Keplinger;Jane Cleland;A. Egyed;Thomas Mehofer
通讯作者：
Thomas Mehofer
影响因子：
48
作者：
Jaqaman, Khuloud;Loerke, Dinah;Mettlen, Marcel;Kuwata, Hirotaka;Grinstein, Sergio;Schmid, Sandra L.;Danuser, Gaudenz
通讯作者：
Danuser, Gaudenz
影响因子：
64.8
作者：
Bettencourt-Dias, M;Giet, R;Glover, DM
通讯作者：
Glover, DM
影响因子：
2
作者：
Rabut, G;Ellenberg, J
通讯作者：
Ellenberg, J