MORPHOMETRY
Morphometry vs. Stereology
Stereology is generally defined as the procedure of deriving 3-dimensional
information from measurements on 2-dimensional images.
Morphometry can be defined as the quantification of structural features
when the 3-dimensional structure is understood.
It is important to always keep in mind that when viewing
sections in the light microscope or the Transmission Electron
Microscope that the structures are actually three dimensional and
that a particular 2-dimensional view can
arise from more than one 3-dimensional structure.
The simplest example is the observation in a section (or polished surface of
a solid) of a circular structure.
This can arise from sectioning a cylindrical, spherical, elliptical or
irregular structure. Attempts to quantify aspects of the 3-dimensional
structure require understanding of that structure, either to determine what
equations to use, or to know whether the observations are representative,
or both.
Consider that simple circular profile. If you wanted to use it to calculate
the surface to volume ratio of the structure sectioned, it would be simple
in the case of a cylindrical structure (where all circular sections will
be the same size), but difficult in the case of a spherical structure, where
the profile size in the section depends on the position of the section in
relation to the centre of the sphere. The problem becomes even more complex
in the case of irregular structures.
Basic Measurements
Consider a basic question related to this drawing:
The green outlines are representative of some structure of interest in a
section outlined by the black box. One of the most basic questions that can
be asked is: what is the area of the outlines?
It comes in several forms:
-
What is the area of each outline?
-
What is the total area of all outlines?
-
What fraction of the section area is enclosed by the outlines?
Although these questions appear the same, operationally the first can be
much more involved than the other two. (Consider for example how the question
of the area of an outline is to be answered if the outline is partly outside
the edge of the section.)
Two distinctly different approaches
There are a number of methods that can be used to answer these
questions, but they separate into two classes:
-
Techniques where the boundary of the structure must be precisely defined
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Techniques involving approximations where the ability to precisely
locate the boundary is frequently not critical.
Precise techniques
A remarkably simple way to answer the area questions if the information
is on paper (a drawing or a micrograph) is to use a pair of scissors to cut out
the areas, and weigh the cutouts. If the paper is of uniform thickness,
the weight will yield the area quite accurately. This is an accepted method,
though not commonly used now. However it illustrates the principle well. To
get the result the observer must be able to follow the edge of each area
unequivocally and every bit of edge must be processed.
There are related techniques which are less destructive of micrographs.
-
A mechanical device called a planimeter can measure the area within an
area traced by an observer moving its stylus around the perimeter.
(These devices are hard to locate now.)
-
An observer can trace the edge of areas on a micrograph using a
computer peripheral called a graphics tablet. A small signal emitted from
a special pen is detected by the tablet, so the path of the pen
can be recorded.
-
Digitised images displayed on a computer screen can be traced with a pointer
controlled with a mouse, joystick or touch screen.
-
Image analysis performed by computer may be able to detect the position
of the boundaries of interest and follow them. (This is different to
methods based on detection of features of the area within the boundary
that may thereby define the area.) These methods generally require some
effort on the part of the observer, even if only to monitor the
outcome.
These methods suffer from common problems:
-
They fail completely, or at best become inaccurate, when part of the boundary is
ill defined
-
they can be quite time consuming
-
observer fatigue is likely to
lead to significant departures of the traced boundary from the
real one with consequent inaccuracies
though the more computerised techniques may reduce the labour.
Approximation techniques
Methods which do not suffer from the above problems (some of which
lead to inaccuracy) but which can produce consistent approximations
represent attractive alternatives to the labour intensive approaches.
A simple example is to consider the outline question. Imagine if the
outlines were drawn on a paper with a square grid.
The question of the area of each outline can be addressed with the
total area of squares that predominantly lie in the outlines.
While this is obviously an approximation, it will often be quite an
acceptable one. In this case, you would probably answer "four"
for the left outline. The top and bottom of these four are not
completely in outline, but some of the outline occupies
parts of adjacent squares, so the errors tend to average out.
This approach is an example of a collection of approximation methods
referred to as
Point Counting Morphometry.
©D.F. Davey,
Department of Physiology,
University of Sydney
Last updated 10 April 2002
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