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Electronic Imaging in Neuroscience

Kenneth R. Spring1

1National Institutes of Health National Heart, Lung and Blood Institute, Bethesda, Maryland

Unit Number: 
Unit 2.4
DOI: 
10.1002/0471142301.ns0204s18
Online Posting Date: 
May, 2002
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Abstract

This unit is intended to aid the neuroscientist in understanding the basics of image detectors and selecting a suitable camera for various neuroscience research applications. A procedure is described for evaluating cameras in the laboratory.

     
 
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Table of Contents

  • Unit Introduction
  • Camera Basics
  • Low-Light-Level Imaging of Fluorescence
  • Choosing the Appropriate Camera
  • Evaluating Camera Performance
  • Bibliography
  • Figures
     
 
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Figures

  • Figure 2.4.1
    Architecture of two common CCD sensors: the frame transfer sensor on the left and the interline transfer sensor on the right. The photosensitive elements are shown as various patterns and the charge transfer areas as solid gray.

  • Figure 2.4.2
    Spectral sensitivity for CCDs in three different configurations, along with the performance of the human eye for both scotopic and photopic vision.

  • Figure 2.4.3
    Pixel binning in a CCD sensor. In this example, the charge from four pixels is binned and sent to the output amplifier as a single voltage.

  • Figure 2.4.4
    CCD photodiode array integrated circuit. A single chip color CCD sensor with an adherent color filter (Bayer filter).

  • Figure 2.4.5
    Sequential color three-pass CCD imaging system. A single-sensor color CCD camera utilizing a rotating filter wheel to capture the red, green, and blue components of the color image as sequential frames.

Literature Cited

 Literature Cited
    Inoué, S. and Spring, , K.R. 1997. Video Microscopy: The Fundamentals. Plenum, New York.
 Key References
    Inoué and Spring 1997. See above.

A good general reference for microscope optics and electronic imaging.

    Shotton, D. 1993. Electronic Light Microscopy. Wiley-Liss, New York.

This text emphasizes image acquisition, sampling and image processing.

    Sluder, G. and Wolf, D.E. 1998. Methods in Cell Biology, Volume 56, Video Microscopy. Academic Press, San Diego.

Offers practical guidance in the acquisition of high quality electronic images of microscopic specimens.

 Internet Resources
    http://microscopy.fsu.edu

A massive collection of static and dynamic information about optics, microscopy, image processing and related topics.

     
 
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