Towards semantic representations of tissue organization from high-parameter imaging data
Abstract/Contents
- Abstract
- Viewed at a high spatial and molecular resolution, every individual instance of a biological tissue is unique. However, it is a tenet of evolution that prior evolutionary successes are adapted and repurposed for variations on function and for the creation of new functions. Thus, it would be expected that the organization characteristic of a tissue's type can be expressed in terms of a collection of repeated biological units that respect some rules governing their assembly and collective functionality. Advances in high-parameter imaging technologies present the opportunity to observe tissues at high spatial and molecular resolution. What, then, are the repeated biological units and the rules (governing the units' assembly and collective functionality), characterizing the organization of tissue types viewed through the lens of such technologies? We present conceptual, mathematical and algorithmic tools towards possible answers of this question, and their applications to high-parameter tissue imaging data of lymphoid tissues and the tumor microenvironment. The results yield clinically relevant insights into the specific biology of these tissues, as well as hint at general principles of tissue organization that become apparent only when tissues are assayed in such detail.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Bhate, Salil Sanjay |
|---|---|
| Degree supervisor | Nolan, Garry P |
| Thesis advisor | Nolan, Garry P |
| Thesis advisor | Altman, Russ |
| Thesis advisor | Covert, Markus |
| Degree committee member | Altman, Russ |
| Degree committee member | Covert, Markus |
| Associated with | Stanford University, Department of Bioengineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Salil S. Bhate. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/yc661nd1828 |
Access conditions
- Copyright
- © 2021 by Salil Sanjay Bhate
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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