The signal in the noise : developing tools to extract meaning from biological variation

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Abstract/Contents

Abstract
Mammalian cells contain a multitude of dynamic structures, from those of force-generating cytoskeletal fibers to the networks of ATP-producing mitochondria. While the structure and dynamics of these systems have been made visible by advances in microscopy, the quantification of useful metrics from these images still requires careful and tailored analysis. Here, I present my work developing statistical tools and analysis pipelines in order to elucidate biological properties and mechanism in three studies: (1) the accurate measurement of cytoskeletal actin velocity distributions, (2) the characterization of mitochondria network topology, and (3) the development of quantitative tools to describe focal adhesion ultrastructure. Taken together, these studies illustrate both the rich biological data which can be extracted from microscopy experiments and the development of quantitative tools which may be useful in the characterization of other cellular structures and processes.

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 Miller, Cayla Marie
Degree supervisor Dunn, Alexander
Thesis advisor Dunn, Alexander
Thesis advisor Boettiger, Alistair
Thesis advisor Sattely, Elizabeth
Degree committee member Boettiger, Alistair
Degree committee member Sattely, Elizabeth
Associated with Stanford University, Department of Chemical Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Cayla M. Miller.
Note Submitted to the Department of Chemical Engineering.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/tk562jm0314

Access conditions

Copyright
© 2021 by Cayla Marie Miller
License
This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

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