Computer control of microscopes using µManager.

Computer control of microscopes using µManager.
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DOI:
10.1002/0471142727.mb1420s92
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发表时间:
2010-10
影响因子:
--
通讯作者:
Stuurman, Nico
Stuurman, Nico
中科院分区:
其他
文献类型:
--
作者:
Edelstein, Arthur;Amodaj, Nenad;Hoover, Karl;Vale, Ron;Stuurman, Nico

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Light microscopy is an essential tool for many biologists: research in molecular and cell biology, molecular biophysics, and histology all require the use of optical microscopes. The development of synthetic fluorescent stains and genetically-encoded fluorescent tags has permitted specific biomolecules to be labeled, thus enabling the researcher to observe molecular locations in a cell, whether it is living or fixed. Fluorescence microscopy has also enabled the observation of single molecules for biophysical observations. In clinical as well as research settings, bright-field and fluorescence microscopy are standard techniques for the examination of slices of multicellular tissues.For decades, control of optical microscopes was a laborious process involving manipulation of many hardware components. Historically, images were first recorded using hand drawings and later on film. The development of digital cameras, along with computer control of other microscope components, has drastically increased ease of use and expanded the possibilities for researchers. Computerized control of motorized shutters, filter wheels, and other devices now permits users to precisely and repeatedly control the color, intensity, and duration of illumination light impinging on a sample. Motorized Z-stages enable automated focusing and rapid acquisition of image planes along the optical axis. Motorized XY-stages are essential to high-throughput imaging, where the researcher can obtain images from many fields or wells in a multi-well plate. Digital cameras allow the researcher to acquire huge numbers of images, each precisely quantifying photon flux at every pixel location. Digital image storage and processing give users the opportunity to save, annotate, and analyze these large image collections.