I. Johnson, Wally Welker and R.C. Switzer III.
Dept. and Neuroscience Program, Michigan State Univ., East Lansing,
MI 48824; Dept. of Neurophysiology, Univ. of Wisconsin-Madison,
Madison, WI 53706; Neuroscience Associates, Knoxville, TN 37922.
by the National Science Foundation Grant nos. BNS 9111952, IBN
9318819, BNS 899438.
purpose was to determine the optimal means of capturing electronic
images of stained sections of mammalian brains, at both high and
low magnifications(whole sections). Three methods proved optimal,
depending on the size of the field to be imaged. 1) For sections
or fields over 25 mm in length or width, direct scanning of the
tissue in a good quality desktop scanner (e.g. the LaCie Silverscanner
II), using the Transparency mode; 2) For those less than 15 mm
in length or width, a microscope is used with either a film camera
(to make 35 mm slides for subsequent scanning) or a digital camera
(in our tests, the Kodak DCS 200)3) For those between 15 mm and
25 mm, optimal results are obtained using a camera (film or digital),
our Leitz series (or their equivalents by Nikon) of "macro"
(24 to 80 mm) lenses, and a specially designed, portable, slide
holder and illuminator.
obtained from the desktop scanner or the digital camera had two
advantages over those captured from film and subsequently scanned:
1) much less editing was needed to produce good final results,
and 2) the electronic images were immediately available, avoiding
the time-consuming processes of film development and subsequent
scanning. It was further determined that for our brain sections,
computer image files of 150 pixels per inch, with a maximum dimension
of 1050 pixels, stored as PICT files, compressed by the "high-quality"
level of JPEG compression included in the PICT file creation module
of the Adobe Photoshop program, proved best for economical electronic
storage and transmission, for on-screen viewing, and for making
good quality prints. An electronic version of this poster is in
preparation for viewing on the Internet at http://www.neurophys.wisc.edu/brain/
(Supported by NSF grants BNS 9111952, IBN 9318819, and BNS 899438.)