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In 1984, Dr. Soll and two colleagues (Dr. S. Kater and the
late Dr. M. Solursh) in the Department of Biological
Sciences at the University of Iowa successfully applied
for a program project grant from the Institute of Child
Health and Human Development at NIH to study the
developmental biology of cell motility in three biological
systems. A core facility was to be developed which
would provide state-of-the-art microscopy, image
processing and motion analysis software. At the time
of the review, members of the NIH panel felt that the PC
motion analysis software developed by Varnum and Soll
was inadequate for the expanding needs of the three basic
research projects, and recommended that an image
processing system purported to perform automated motion
analysis be purchased. After a day of testing, Dr. Soll,
the Principal Investigator of the program, concluded that
the system did not and could not automatically analyze the
behavior of living cells. It was, therefore, decided by
the Program investigators that the staff of the Core
Facility attempt to design and implement its own system to
fulfill the objectives of the Program. To that end
Dr. Edward Voss, an expert programmer with a Ph.D. in
theoretical mathematics, was hired. Within four
months of the time Dr. Voss and Dr. Soll had begun setting
up the Core Facility and had begun designing a motion
analysis software system, a company announced the
availability of the first bona fide automated motion
analysis system, Expertvision. It included a
videorecorder, a real-time contour digitizer and
UNIX-based software in a SUN computer. High contrast
videorecordings of cells were played into the digitizer,
which identified pixels at high contrast cell boundaries.
Boundary pixels were on and all other pixels off.
The x,y coordinates of these pixels were stored in a UNIX
data file and used to compute the position of the cell
centroid (center of boundary) at time intervals as short
as a thirtieth of a second (i.e., video rate).
Dr. Soll tested and then purchased the first system sold
by this company, but quickly discovered that although
valuable for studying velocity and direction, it had a
major limitation for studying animal cells. It
literally threw away the perimeter information once the
position of the cell centroid was computed. In all
three basic research projects, animal cells represented
the experimental organisms and shape changes were basic to
understanding cellular locomotion. The company
allowed the Iowa researchers to access their datafile
formats, in order to develop a software program that would
analyze the dynamic morphology of animal cells. The
Iowa researchers first sped up the system.
They next developed algorithms that measured dynamic
contour changes.

This program, finished in 1986, represented the first
computer-assisted dynamic morphology system, DMS
(Figure 1A).
By 1988, Drs. Soll and Voss realized that DMS
software had too many limitations. First, it relied
upon automated digitization of the cell perimeter by the
contour digitizer. This required a high contrast
cell image and, therefore, excluded the use of
differential interference contrast (DIC) microscopy.
It also excluded the analysis of flat cells, like
fibroblasts, which could not be sufficiently contrasted
for edge detection. Expertvision offered no
alternative manual digitization option for low contrast
cells. Second, the digitizer produced an artifact
when interpreting the edges of narrow objects.
Third, DMS software had to access large UNIX files in
order to function, which slowed the system significantly.
Fourth, the program had few of the newly developed
advantages of the Macintosh computer operating system
available in 1988. Fifth, it was becoming clear that
2D analyses were insufficient in some situations, and that
a 3D system would be necessary to answer a variety of
motility questions. This last problem was becoming
especially acute in research projects on the cell motility
and chemotaxis of human white blood cells and D.
discoideum amoebae, in which it was clear that portions of
cells changed focal planes (i.e., went in and out of
focus) as the cells crawled and responded to
chemoattractants and other extracellular signals.
Therefore, the decision was made in 1988 to develop 1) a
Macintosh-based 2D system with both automatic and manual
modes of digitization, 2) an artifact-free contour
digitizer, and 3) a 3D dynamic image analysis system.
Dr. Soll, therefore, obtained funds from the State of Iowa
for technology development. A prototype of an
artifact-free real time contour digitizer, the ACD-101,
was completed in 1993, but was immediately deemed obsolete
because of the parallel evolution of less expensive
frame-grabbing technologies and increased computer speeds,
allowing superior software-based, automatic outlining of
cells. The first 2D dynamic image analysis system
based on a Macintosh computer (2D-DIAS) (Figure 1B) was
completed in 1993, which used a frame-grabber board both
for automatic and manual digitization.
In 1993, the first 3D-dynamic image analysis system
(3D-DIAS) prototype was also completed (Figure 3).
It utilized both a Tektronix 3D stereo workstation with a
dedicated Tektronix computer for 3D imaging, and a SUN-4
computer for computing 3D motility and shape parameters.
This original system (3D-DIAS I) was effective in
generating dynamic 3D reconstructions (i.e., 3D movies) of
crawling cells, but required laborious manual tracing of
every optical section in the reconstruction process, thus
limiting the number of sections per reconstruction.
The original 3D-DIAS I system also lacked an effective
computer-driven stepper motor with a synchronizing
character generator for accurate optical sectioning.
Sectioning was performed manually with a precalibrated
focus knob and a metronome. Synchronization and
height calibration were accomplished by using single frame
stepping on the VCR with calibrated bead markers in the
preparations.
By 1993, it was realized that 2D-DIAS needed
significant updating and refinement, and that 3D-DIAS
needed to be transferred to a new workstation since the
Tektronix workstation and SUN computer had become
obsolete. Servicing the Tektronix equipment had
become increasingly difficult and expensive, and down-time
had by then exceeded up-time. Dr. Solls staff,
therefore, began to transfer 3D-DIAS to a Macintosh-based
system. In addition, they began to experiment with
new methods to increase the edge detection capabilities of
both 2D-DIAS and 3D-DIAS software, and to build a
computer-regulated stepper motor for optically sectioning
cells that included a character generator that labeled
each frame for height, time and direction of scan.
The original 3D-DIAS software program was composed of an
estimated 300,000 lines of C-code in 1993, so the transfer
to a Macintosh-based system was a significant undertaking.
However, in recreating the system, several major advances
and inventions were added that included rapid, accurate
and totally automated edge detection based upon a pixel
complexity measurement developed by Dr. Voss, direct image
reconstructions, which saved all pixel information within
the 3D cell interior, and a computer-regulated stepper
motor, the MicroStepZ3D, for optical sectioning.
In 1997, Dr. Soll, successfully applied for a
grant from the W.M. Keck Foundation for three years, which
provided funds to set-up the following Facility
components: 1) an Applications Laboratory containing six
computer workstations with 2D-DIAS and 3D-DIAS software
for users to analyze data; 2) an Experimental Laboratory
containing two inverted microscopes with DIC optics and
one near real time laser scanning confocal microscope,
customized stepper motors at each microscope station for
optical sectioning, videorecorders, 2D-DIAS and 3D-DIAS
software for direct digitization, and customized
environmental and perfusion microchambers; and 3) a
Development Laboratory with two work-stations for software
development and an engineering station for the
construction of stepper motors and cell chambers, and for
the maintenance of computers and equipment.
With the funds received from the W.M. Keck
Foundation, the capabilities of dynamic 3D reconstruction
and analysis have been significantly expanded, the first
high speed reconstruction system (up to 500 frames per
second) has been initiated, the first dynamic 3D
reconstruction and analysis software has been written for
confocal images, advanced stepper motors have been
developed for rapid optical sectioning, and the first
2D-DIAS program has been customized for echocardiography
(2D-DEAS). In addition, the Facility has supported
visits in the past year by thirteen scientists from
outside the University of Iowa for periods of up to four
months and several projects by researchers from within the
University.
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