You are welcome to attend the following. Please also publicise among
your colleagues. Attendance is free.
QUANTITATIVE MICROSCOPY AND BIOMEDICAL IMAGING
5pm, Tuesday, 13th February 2001
Moray House, Holyrood Road, Edinburgh
joint meeting of Royal Statistical Society Edinburgh Local Group
and RSS Statistical Image Analysis and Processing Study Group
Quantitative Analysis of 3-D Microscope Images
Ted Young, Delft University of Technology, The Netherlands
There are four different approaches to the analysis of objects in
digital microscope images: stereological analysis, scale-space analysis,
morphological analysis, and feature-based analysis, each with strengths
and weaknesses. We propose a fifth approach: Data-driven image
filtering (D-DIF). This admits localization of objects, plates, and
rods in 3-D space, segmentation of structures through the use of an
orientation space, curvature estimation for discrete, heterogeneous, and
overlapping objects, plates, and rods in 3-D space, measurement of
length, area, volume, Euler number, and bending energy for objects,
plates, and rods in 3-D space. The primary tools used are the
derivative, the Gaussian filter, the Nyquist sampling theorem, and image
arithmetic. Their proper combination yield the described and desired
results.
Ancient Geometry comes to the aid of modern medics
Matt Reed, University of Liverpool
Many of the basic methods of geometry were collated in 300 BC by Euclid
of Alexandria in his book, 'The Elements' and continue to have a
relevance to medical imaging in the new millennium. Euclidean geometry
is deterministic, but points, lines, planes and volumes can be used in a
statistical manner - a field known as stochastic geometry. One
important application of this field is 'design stereology'; simple
measurement protocols that allows three dimensional quantities to be
estimated from lower dimensional information. Their use in bio-medicine
has grown steadily over the past 10 years and I will describe some of
the links that exist between ancient geometrical relations and
stereological methods for estimating the object volumes. The talk will
be illustrated with examples ranging from cell volume estimation to
brain volume estimation, and some problems of predicting error bounds on
the estimates will be introduced.
For a location map, see:
http://www.streetmap.co.uk/streetmap.dll?P2M?P=eh88aq&Z=1
For further information, contact:
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Dr Chris Glasbey http://www.bioss.ac.uk/~chris
Biomathematics and Statistics Scotland email: [log in to unmask]
JCMB, King's Buildings phone: +(44) 131 650 4899
Edinburgh EH9 3JZ, Scotland FAX : +(44) 131 650 4901
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