Inferring system properties from thermodynamic fluctuations : a tool development approach
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, May, 2020
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2021
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| Online Access: | https://hdl.handle.net/1721.1/130216 |
| _version_ | 1811076696092180480 |
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| author | Jung, Yoon,Ph. D.Massachusetts Institute of Technology. |
| author2 | Nikta Fakhri. |
| author_facet | Nikta Fakhri. Jung, Yoon,Ph. D.Massachusetts Institute of Technology. |
| author_sort | Jung, Yoon,Ph. D.Massachusetts Institute of Technology. |
| collection | MIT |
| description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, May, 2020 |
| first_indexed | 2024-09-23T10:26:06Z |
| format | Thesis |
| id | mit-1721.1/130216 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:26:06Z |
| publishDate | 2021 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1302162021-03-23T03:28:15Z Inferring system properties from thermodynamic fluctuations : a tool development approach Jung, Yoon,Ph. D.Massachusetts Institute of Technology. Nikta Fakhri. Massachusetts Institute of Technology. Department of Physics. Massachusetts Institute of Technology. Department of Physics Physics. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, May, 2020 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 63-70). Biological systems are far from equilibrium which require novel tools for unraveling their complex behavior. This thesis focuses on developing a toolbox in order to understand properties of living systems from thermodynamic fluctuations. In the first chapter, I discuss a fluorescence imaging platform which allows 3D information combined with non-invasive and photostable probes named single-walled carbon nanotubes. The second chapter discusses an image processing algorithm for analyzing the fluorescence images acquired with the proposed custom-built microscope. I demonstrate its robust image reconstruction capability under dense scenes of fluorescence images with its inherent parallel nature which allows implementation on GPUs. Finally, I develop a framework which predicts system properties from thermodynamic fluctuations in a data-driven manner. The proposed framework uses feature extraction methods based on wavelets with recurrent neural networks for processing time series data. A combination of these tools completes a pipeline which allows studying complex behavior of biological systems. by Yoon Jung. Ph. D. Ph.D. Massachusetts Institute of Technology, Department of Physics 2021-03-22T17:35:36Z 2021-03-22T17:35:36Z 2020 2020 Thesis https://hdl.handle.net/1721.1/130216 1241733258 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 70 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Physics. Jung, Yoon,Ph. D.Massachusetts Institute of Technology. Inferring system properties from thermodynamic fluctuations : a tool development approach |
| title | Inferring system properties from thermodynamic fluctuations : a tool development approach |
| title_full | Inferring system properties from thermodynamic fluctuations : a tool development approach |
| title_fullStr | Inferring system properties from thermodynamic fluctuations : a tool development approach |
| title_full_unstemmed | Inferring system properties from thermodynamic fluctuations : a tool development approach |
| title_short | Inferring system properties from thermodynamic fluctuations : a tool development approach |
| title_sort | inferring system properties from thermodynamic fluctuations a tool development approach |
| topic | Physics. |
| url | https://hdl.handle.net/1721.1/130216 |
| work_keys_str_mv | AT jungyoonphdmassachusettsinstituteoftechnology inferringsystempropertiesfromthermodynamicfluctuationsatooldevelopmentapproach |