[Colloquium] Reminder: Huynh/MS Presentation/Dec 14, 2017

[Margaret Jaffey via Colloquium]

This is a reminder about Tri's MS Presentation tomorrow.

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Date:  Thursday, December 14, 2017

Time:  11:00 AM

Place:  Ryerson 276

M.S. Candidate:  Tri Huynh

M.S. Paper Title: Visualizing Trajectories and their Contexts in 5D
Data: A Study of Facial Branchiomotor Neuron Pioneers from Light-sheet
Microscopy Images

Abstract:
Scientific imaging methods such as CT, MRI, and microscopy have been
crucial tools allowing scientists to diagnose and discover the
intrinsic structure and development of various biological subjects.
Recent progress in light-sheet microscopy imaging further presents
exciting opportunity to capture live specimens over their development.
However, advances in imaging technologies have progressed at a faster
pace than the available visualization methods to fully exploit their
capabilities. Data now comes from a complex form, with up to 5
dimensions, i.e. multi-channel 3D images over time, which can not be
viewed and understood completely with any static display. The tasks of
extracting, connecting meaningful structures, and effectively
visualizing them in this complex source of data remain unsolved
problems.

We present a system of novel methods for visualizing and manipulating
5D imaging data with an application to exposing the trajectory and
contexts of facial branchiomotor neuron pioneers in 5D light-sheet
microscopy data, as part of the ongoing study on the lineage and
dynamics of neural development in zebrafish. Particularly, a new
visualization utilizing the relationship between image channels to
constrain the objects of interest is introduced. An analytical
approach providing a cleaner visualization for local maxima is also
presented. Furthermore, we propose a novel and intuitive way to
explore spatio-temporal 5D image data based on direct interaction with
the subject trajectory. Finally, a new way of summarizing this source
of 5D image data into a single 2D image is also introduced which helps
extracting essential information as well as revealing hidden
information from data. The introduced visualization techniques are
then built into a unified interactive tool, providing an effective
mechanism for exploring this new source of data.

Tri's advisor is Prof. Gordon Kindlmann

Login to the Computer Science Department website for details:
 https://www.cs.uchicago.edu/phd/ms_announcements#trihuynh

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Margaret P. Jaffey            margaret at cs.uchicago.edu
Department of Computer Science
Student Support Rep (Ry 156)               (773) 702-6011
The University of Chicago      http://www.cs.uchicago.edu
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