<font style="color: rgb(0, 0, 0);" size="3"><b style="font-family: Arial;">Microscopic Image Analysis with Applications in Biology (<span>MIAAB</span>)</b></font>
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Lister Hill Center Auditorium, NIH Campus, Bethesda, MD<br>
September 3-4, 2009<br><br>
<b>General Chairs</b>:<br>
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<font size="3"> Dimitris M. Metaxas (Rutgers U)<br>
Terry Yoo (NIH, NLM)<br>
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<b>Program Chairs:</b><br>
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<font size="3"> Jens Rittscher (GE Global Research)<br>
Tolga Tasdizien (Utah)<br>
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<b>Session Chairs:</b><br>
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<font size="3"> Stephen Lockett (NIH, NCI Frederic</font><font size="3"> ) </font><br>
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<font size="3"> Raghu Machiraju (The Ohio State University)<br>
Karl Rohr (German Cancer Research Center, Univ. of Heidelberg)<br>
Pavel Tomancek (MPI Cell Biology, Dresden, Germany)<br></font></div></div><div><font size="3"><br><b>Goals </b><b>and Objectives</b><b> -</b></font><br><font size="3">
The goal of this workshop is to bring together researchers that work on
the emerging interface of engineering and biological research. The
convergence of technical developments that enable automated microscopy
imaging at higher resolution and throughput and life sciences
applications that require the analysis of a very large number of
samples radically changes the traditional role of microscopy. As
opposed to analyzing a very limited number of samples manually, it is
now possible to automatically analyze a large number of biological
samples at the cellular and sub-cellular scale and monitor their
dynamics over time. Not only will this approach provide biologists with
an unprecedented amount of quantitative information, it will also allow
the investigation of the inherent variation of biological systems of
interest. </font><br><br><font size="3">
Algorithms that allow the automatic analysis of such data sets are
becoming a crucial component of microscopy workflow. These datasets
pose a number of challenges that are very distinct from conventional
clinical imagery in their size and abundance, the detail of relevant
features, and their statistics. Sophisticated algorithms are necessary
to process such imagery and extract biologically relevant features and
information.</font><br>
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While certain applications of high-throughput microscopy of very simple
biological model systems are already established, biologists are still
exploring the potential of this automated approach. The study of
complex model systems, the analysis of whole organisms of small
critters, and <i>in-vivo</i>
models will pose novel challenges that need to be addressed. The
challenges increase many-fold when animal systems for disease and
cancer are considered.</font><br>
<br><font size="3"> The proposed
workshop will be the third workshop in this series. The first workshop
was held as a MICCAI workshop in Copenhagen in 2006. In 2007 the
workshop was held as an independent one-day event in Piscataway, NJ.
Lastly, a one-day workshop was held in conjunction with MICCAI 2008 in
New York City last year.</font><br><font size="3">
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<b>Topics:</b><br>
To facilitate this exchange the workshop will focus on a set of
biological applications and image analysis challenges. In particular we
are seeking contributions in the following areas:<br>
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<font size="3"> Segmentation and feature extraction at cellular and sub-cellular scales<br>
Automatic analysis of dynamic processes in in vivo and model systems<br>
Analysis of tissue structure and their representation
(micro-vasculature, tracking of neurons, identification of cell
populations, etc.)<br>
Reconstruction of cell morphologies and lineage studies<br>
Whole critter imaging (zebrafish, c. elegans, drosophila</font><font size="3">)<br>
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<font size="3"> Focus areas for biological applications will include but are not limited to<br>
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<font size="3"> Understanding the heterogeneity of cancer and its environment<br>
Understanding neuro-anatomy at the cellular level<br>
Biomarker discovery<br> <br>
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<b>Workshop Schedule:</b><br>
We propose a one-day event, which will include orals and one poster
session. The workshop will be structured into different sessions, which
will alternate between image analysis challenges and biological
application areas. At least one presentation in each session will give
an introduction or tutorial overview with the goal of communicating the
existing capabilities and challenges to non-specialists. A panel
discussion on the future of automated microscopy and its role for
biological research will be organized as part of this workshop.<br>
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<b>Paper and Abstract Submission</b>:<br>
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Contributions, which address an image analysis challenge, will submit a
full paper (up to 10 pages, IEEE format). In order to encourage the
participation of biologists we have established a separate abstract
submission format that focuses on the presentation of application
problems, as is common for biology conferences. Papers that describe
how particular biological research or related needs was impacted by
image analysis can submit a full paper or an abstract. </font><font size="3">Every p</font><font size="3">aper
will receive three reviews. Review formats for abstracts and full
papers will be different. Extended version of selected contributions
will be published as a volume in the Springer Lecture Notes of Computer
Science.</font>
<br><div><font size="3"><br><b>Important Dates:</b><br></font><font size="3"> June 27, 2009 - </font><font size="3">Submission of Full Papers and Application Abstracts<br>July 27, 2009 - Notification of Paper Acceptances<br>
August 17, 2009 - Submission of Final manuscript <br><br><b>Contact Information:</b><br>
Jens Rittscher<br>
GE Global Research<br>
Visualization and Computer Vision Lab<br>
KW C 214<br>
Niskayuna, NY, 12309<br>
Tel 518 387 4410<br>
Fax 518 387 6981<br>
Email <a href="mailto:jens.rittscher@research.ge.com" target="_blank">jens.rittscher@research.ge.com</a><br><br>
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<font size="3"> Tolga Tasdizen<br>
72 S Central Campus Drive, 3750 WEB<br>
University of Utah<br>
Salt Lake City, UT 84112<br>
Phone: 801-581-3539<br>
Fax: 801-585-6513<br>
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Email: <a href="mailto:tolga@sci.utah.edu" target="_blank">tolga@sci.utah.edu</a>
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<font size="3"> More information about the workshop will announced at the Symposium web site (<a href="http://www.miaab.org/" target="_blank">http://www.<span>miaab</span>.org</a>) periodically. Please check for further updates.<br>
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