Alexandria Digital Research Library

A visual analysis toolkit for microscopic image mosaics of retinal astrocytes

Author:
Suwannatat, Panuakdet
Degree Supervisor:
Tobias Hollerer
Place of Publication:
[Santa Barbara, Calif.]
Publisher:
University of California, Santa Barbara
Creation Date:
2014
Issued Date:
2014
Topics:
Computer Science
Keywords:
Microscopic
Biology
Retina
Visualization
Astrocytes
Genres:
Online resources and Dissertations, Academic
Degree Grantor:
University of California, Santa Barbara. Computer Science
Dissertation:
M.S.--University of California, Santa Barbara, 2014
Description:

Analyzing high-resolution images of astrocytes is important in understanding diseases, such as glaucoma and retinal detachment, to which astrocytes are known to become reactive. Yet, little is known about the statistics of astrocyte patterns over the area of an entire retina.

We developed an interactive visualization system supporting the visual analysis of microscopy mosaics of entire mouse retinas, and present preliminary findings from the study of 8 full retina mosaics that were imaged in UCSB's Retinal Cell Biology Lab. We present the design and implementation of this visualization system, which required several steps of data preparation and normalization. We will briefly discuss our choices and validation approaches for parameter selection in the image normalization, segmentation, and visualization steps of our pipeline. We created tools to support the generation and visual comparison of possible network structures interconnecting the astrocyte cells. We will report our initial insights from using these tools on the 8 retinas.

Together with our biology collaborators, we identified 9 properties of astrocyte cells that held most promise to shed light on underlying principles and statistics in astrocyte distributions, and we will present the most interesting patterns that emerged from our visual analysis.

Physical Description:
1 online resource (178 pages)
Format:
Text
Collection(s):
UCSB electronic theses and dissertations
ARK:
ark:/48907/f3jm27sx
ISBN:
9781321350234
Catalog System Number:
990045117730203776
Rights:
Inc.icon only.dark In Copyright
Copyright Holder:
Panuakdet Suwannatat
File Description
Access: Public access
Suwannatat_ucsb_0035N_12309.pdf pdf (Portable Document Format)