Spatial pattern modeling and discovery in biological images
- Degree Grantor:
- University of California, Santa Barbara. Electrical & Computer Engineering
- Degree Supervisor:
- B. S. Manjunath
- Place of Publication:
- [Santa Barbara, Calif.]
- Publisher:
- University of California, Santa Barbara
- Creation Date:
- 2014
- Issued Date:
- 2014
- Topics:
- Biology, Bioinformatics
- Keywords:
- Point processes,
Spatial statistics,
Astrocytes,
Bioinformatics, and
Dendritic spines - Genres:
- Online resources and Dissertations, Academic
- Dissertation:
- Ph.D.--University of California, Santa Barbara, 2014
- Description:
Studying spatial arrangement and relationships in full tissue samples can improve our understanding of the various developmental/pathological processes that underlie proper organ or organism function. In particular, it has been found that neuronal or vascular structures are pervasive in many tissues, and oftentimes are spatially correlated with other cells. This work aims to discover those relationships, by extracting biological knowledge from cellular and sub-cellular imaging using spatial point process methods.
In this dissertation, we present discoveries on spatial distributions and attributes of dendritic spines and retinal astrocytes, two crucial elements in the mammalian nervous system. Although little is known about the spatial distributions of either respective to their surroundings and attributes, this thesis attempts to pose some possible biological hypotheses based on strong statistical evidence, as well as further extend the tools used for spatial analysis. In particular, we develop a multitype version of the linear network K-function, a summary function used for measuring clustering or repulsion of point features existing on a linear network.
- Physical Description:
- 1 online resource (251 pages)
- Format:
- Text
- Collection(s):
- UCSB electronic theses and dissertations
- Other Versions:
- http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:3645650
- ARK:
- ark:/48907/f39c6vkm
- ISBN:
- 9781321349580
- Catalog System Number:
- 990045117130203776
- Copyright:
- Aruna Jammalamadaka, 2014
- Rights:
- In Copyright
- Copyright Holder:
- Aruna Jammalamadaka
File | Description |
---|---|
Access: Public access | |
Jammalamadaka_ucsb_0035D_12326.pdf | pdf (Portable Document Format) |