[Insight-users] CFP: Microscopic Image Analysis with Applications in Biology (MIAAB), September 3-4

Raghu Machiraju raghu at cse.ohio-state.edu
Sat May 9 22:35:35 EDT 2009


*Microscopic Image Analysis with Applications in Biology  (MIAAB)*
Lister Hill Center Auditorium,  NIH Campus,  Bethesda, MD
September 3-4, 2009

*General Chairs*:
  Dimitris M. Metaxas (Rutgers U)
Terry Yoo (NIH, NLM)
  *Program Chairs:*
  Jens Rittscher (GE Global Research)
Tolga Tasdizien (Utah)
  *Session Chairs:*
   Stephen Lockett (NIH, NCI Frederic )
  Raghu Machiraju (The Ohio State University)
Karl Rohr (German Cancer Research Center, Univ. of Heidelberg)
Pavel Tomancek (MPI Cell Biology, Dresden, Germany)

*Goals **and Objectives** -*
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.

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.

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 *
in-vivo* models will pose novel challenges that need to be addressed. The
challenges increase  many-fold when animal systems for disease and cancer
are considered.

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.

*Topics:*
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:
  Segmentation and feature extraction at cellular and sub-cellular scales
Automatic analysis of dynamic processes in in vivo  and model systems
Analysis of tissue structure and their representation (micro-vasculature,
tracking of neurons, identification of cell populations, etc.)
Reconstruction of cell morphologies and lineage studies
Whole critter imaging (zebrafish, c. elegans, drosophila)

  Focus areas for biological applications will include but are not limited
to
  Understanding the heterogeneity of cancer and its environment
Understanding neuro-anatomy at the cellular level
Biomarker discovery

  *Workshop Schedule:*
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.

*Paper and Abstract Submission*:
  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. Every paper 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.

*Important Dates:*
June 27, 2009 - Submission of Full Papers and Application Abstracts
July  27, 2009 - Notification of Paper Acceptances
August 17, 2009 - Submission of Final manuscript

*Contact Information:*
            Jens Rittscher
            GE Global Research
            Visualization and Computer Vision Lab
            KW C 214
            Niskayuna, NY, 12309
           Tel 518 387 4410
            Fax 518 387 6981
            Email jens.rittscher at research.ge.com

  Tolga Tasdizen
72 S Central Campus Drive, 3750 WEB
University of Utah
Salt Lake City, UT 84112
Phone: 801-581-3539
Fax: 801-585-6513
      Email: tolga at sci.utah.edu

 More information about the workshop will announced at the Symposium web
site (http://www.miaab.org)  periodically. Please check for further updates.
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