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<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'>Research Seminar<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-family:"Calibri","sans-serif"'>UH Cullen College of Engineering<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'>Wednesday, May 12,
2010<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'>9:30 a.m.<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'>Room W122
Engineering Building 2<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Dr. Badri Roysam<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Professor,
Department of Electrical, Computer and Systems Engineering<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Associate Director,
NSF Center for Subsurface Sensing & Imaging Systems (CenSSIS ERC)<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Co</span></b><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>$B!>(B</span></b><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Director,
Rensselaer Center for Open Source Software<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Rensselaer
Polytechnic Institute<o:p></o:p></span></b></p>
<p align=center style='margin-bottom:12.0pt;text-align:center'><span
style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'>Quantifying
Structures and Phenomena in Complex<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'>and Dynamic
Biological Microenvironments<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'>from 4D/5D Optical
Microscopy Images<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><b><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Abstract<o:p></o:p></span></b></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Many tissue
microenvironments that play critical roles in health and disease are complex
and dynamic, e.g.,<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>tumors, stem$B!>(Bcell
niches, brain tissue surrounding neuroprosthetic devices, retinal tissue,
cancer stem$B!>(Bcell<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>niches, glands, and
immune system tissues. Progress in these areas is much too slow compared to the
need.<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Knowledge is pieced
together from large numbers of experiments, each of which yields a small amount
of<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>information. Much
of the knowledge still remains qualitative. There is a compelling need to
accelerate<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>progress towards a
quantitative understanding. I will describe strategies based on multi$B!>(Bdimensional
optical<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>microscopy and
computational image analysis.<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>Modern optical
microscopy has grown into a multi$B!>(Bdimensional imaging tool. It is now possible
to record<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>dynamic processes
in living specimens in their spatial context and temporal order, yielding
information$B!>(Brich<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>5$B!>(BD images (3$B!>(BD
space, time, spectra). The task of analyzing these images exceeds human
ability. There is a<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>need for automated
systems to map the tissue anatomy, quantify structural associations, identify
critical<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>events, map event
locations and timing, identify and quantify spatial and temporal dependencies,
produce<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>meaningful
summaries of multivariate measurement data, and compare 4$B!>(BD/5$B!>(BD datasets for
testing<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>hypotheses,
exploration, and systems modeling. Importantly, there is a need for $B!H(Bcomputational
sensing$B!I(B<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>methods capable of
exceeding human ability.<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'><o:p> </o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>In this talk, I
will use examples from neuroscience, cancer histopathology, immunology, and
retinal stem$B!>(Bcell<o:p></o:p></span></p>
<p class=MsoNormal align=center style='text-align:center;text-autospace:none'><span
style='font-size:10.5pt;font-family:"Calibri","sans-serif"'>biology to show the
practicality of multi$B!>(Bdimensional image analysis and computational sensing.</span><b><span
style='font-size:14.0pt;font-family:"Calibri","sans-serif"'><o:p></o:p></span></b></p>
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