| Start Date: | 12/6/2013 | Start Time: | 1:30 PM |
| End Date: | 12/6/2013 | End Time: | 3:30 PM |
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Event Description
Title: Quantifying individual and clonal properties of proliferating cells
Advisor: Dr. Andrew Cohen
Date: Friday, December 6, 2013
Time: 1:30 p.m.
Location: Room 109, 1st Floor, Disque Hall
Abstract
There is a pressing need in developmental and cancer biology to understand the mechanisms involved in cellular proliferation and differentiation. Live-cell timelapse microscopy can image the proliferation of single cells throughout their clonal development into differentiated tissue. Current state of the art in biological image analysis still incorporates manual or semi-automatic identification of lineage trees to characterize population development. For this research, I propose to develop computational tools that can extract a completely accurate lineage tree along with the segmentation and tracking of individual cells. Using these tools it will be possible to derive a fully validated segmentation, tracking and lineaging in less time than it would take a human observer to manually establish a lineage tree. This approach is more accurate and reliable than manual lineage analysis. The segmentation and tracking results enable the analysis of proliferating cells to include not just population level features but also the motion, morphology and associations of individual cells.
The proposed research contributions will include new techniques for segmentation, tracking and lineaging of timelapse image sequences of proliferating cells. I will also develop new metrics for edit-based validation of the automated image analysis techniques. This work also includes new techniques for comparing cellular dynamics at the clonal or population level as well as at the individual level. These techniques will be applied to hundreds of data sets containing thousands of proliferating hematopoietic stem cells, adult neural stem cells, and embryonic neural stem cells. |
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Location:
Room 109, 1st Floor, Disque Hall |
Audience:
Current StudentsFacultyStaff |
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