國立虎尾科技大學 |

Towards Quantification of Cell - Extracellular Matrix Interactions in Tissue Models Using Light Sheet Microscopy.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Towards Quantification of Cell - Extracellular Matrix Interactions in Tissue Models Using Light Sheet Microscopy./
作者:	Colomb, Warren A.
面頁冊數:	1 online resource (198 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Contained By:	Dissertation Abstracts International79-10B(E).
標題:	Physics. -
電子資源:	click for full text (PQDT)
ISBN:	9780438038820

Towards Quantification of Cell - Extracellular Matrix Interactions in Tissue Models Using Light Sheet Microscopy.
Colomb, Warren A.

Towards Quantification of Cell - Extracellular Matrix Interactions in Tissue Models Using Light Sheet Microscopy. - 1 online resource (198 pages)

Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.

Thesis (Ph.D.)--Colorado School of Mines, 2018.

Includes bibliographical references

This thesis works towards the development of quantitative in vitro tissue models. The absence of quantitative three-dimensional (3D) in vitro models is a bottleneck in drug discovery and tissue engineering. To address this challenge, we intend to exploit the inherent randomness of cellular distributions to gain insights into cell-extracellular matrix (ECM) interactions. To achieve this goal, we need to first extract information from noisy data, correct for microscope drift, image thick 3D tissue models, and quantify random cellular distributions.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780438038820Subjects--Topical Terms:

564049
Physics.
Index Terms--Genre/Form:

554714
Electronic books.

Towards Quantification of Cell - Extracellular Matrix Interactions in Tissue Models Using Light Sheet Microscopy.
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500 $a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 $a Adviser: Susanta K. Sarkar.
502 $a Thesis (Ph.D.)--Colorado School of Mines, 2018.
504 $a Includes bibliographical references
520 $a This thesis works towards the development of quantitative in vitro tissue models. The absence of quantitative three-dimensional (3D) in vitro models is a bottleneck in drug discovery and tissue engineering. To address this challenge, we intend to exploit the inherent randomness of cellular distributions to gain insights into cell-extracellular matrix (ECM) interactions. To achieve this goal, we need to first extract information from noisy data, correct for microscope drift, image thick 3D tissue models, and quantify random cellular distributions.
520 $a This thesis has been organized into six chapters. Chapter one serves as an overview of the thesis, and provides the necessary background. Chapter two provides our work on noisy data analysis in the context of a detailed literature review. Chapter three presents a new method of estimating mechanical drift of microscopes, which utilizes an improved maximum likelihood method. Our method was shown to be valid in the presence of Gaussian and non-Gaussian noise to estimate the drift with both accuracy and precision within the range 1.55 -- 5.75 nm. Chapter four presents our design and application of a lens-based light sheet microscope, which was used to image fluorescent beads and fluorescently labeled cells in agarose and alginate matrices with 3-micron depth resolution throughout a 1 cm thick sample. Our subcellular resolution across centimeter thick samples fills a niche area that has not been addressed by other microscope designs. Cellular distributions were modeled as a Poisson process, a process that has a constant probability of occurring in space or time. We hypothesize that if we start from a perfectly random tissue model, the underlying interactions of cells with the ECM will lead to deviations from a perfect Poisson process. These deviations will serve as quantitative biomarkers to define and characterize the tissue models. Chapter five discusses the preliminary results and issues on time resolved imaging of cellular distributions with the light sheet microscope. Finally, Chapter six presents future work, which builds on the techniques described in this thesis, towards quantifying Cell-ECM interactions.
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538 $a Mode of access: World Wide Web
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