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Development of Quantitative Label-Fr...

Gil, Daniel Ari.

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Development of Quantitative Label-Free Optical Imaging for Biomedicine.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Development of Quantitative Label-Free Optical Imaging for Biomedicine./
作者:	Gil, Daniel Ari.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	164 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-11, Section: B.
Contained By:	Dissertations Abstracts International82-11B.
標題:	Biomedical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28419644
ISBN:	9798708759047

Development of Quantitative Label-Free Optical Imaging for Biomedicine.
Gil, Daniel Ari.

Development of Quantitative Label-Free Optical Imaging for Biomedicine. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 164 p.

Source: Dissertations Abstracts International, Volume: 82-11, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2021.

This item must not be sold to any third party vendors.

Here, we demonstrate the development of quantitative label-free optical imaging tools to address needs in biomedicine. Label-free optical imaging harnesses endogenous contrast present to image the structure and function of intact, living biological samples such as three-dimensional in vitro models and ex vivo tissues. Practically, label-free optical imaging enables interrogation of living samples without destructive processing or contrast agents. Redox imaging is one such label-free optical technique that harnesses endogenous, fluorescent molecules NAD(P)H and FAD as a dynamic readout of cellular metabolism via the optical redox ratio. The optical redox ratio (ORR) is sensitive to the cellular reduction-oxidation state and captures the metabolic responses. Optical coherence tomography (OCT) is another label-free optical imaging modality that detects backscattered light to reconstruct three-dimensional images of samples. Contrast in OCT results from inherent spatial variations in the refractive index in samples, and functional extensions of OCT enable evaluation of cilia-driven fluid flow. Autofluorescence multiphoton microscopy (aMPM) exploits cellular autofluorescence to visualize the structure of samples. aMPM uses multiphoton excitation with near-infrared wavelengths, which provides optical sectioning and is well-suited to evaluate three-dimensional in vitro cultures. In two separate studies, redox imaging and optical coherence tomography were applied to assess treatment response in patient-derived cancer organoids (PCOs). PCOs are in vitro cultures that are promising for functional cancer drug screening since multiple drugs can be tested across many organoids in a clinically relevant timeframe, providing information to streamline treatment planning. In a separate study, redox imaging and OCT were combined to study the effects of metabolic inhibition on cellular metabolism and ciliary motility in an ex vivo trachea model. In the last study, aMPM was applied to image the morphology of in vitro stem cell-derived vascular networks. Novel quantitative image analysis algorithms are shown in each study that extract robust quantitative metrics from label-free images. This work has yielded new label-free optical imaging tools for areas such as cancer medicine, respiratory medicine, and tissue engineering.

ISBN: 9798708759047Subjects--Topical Terms:

535387
Biomedical engineering.
Subjects--Index Terms:

Autofluorescence

Development of Quantitative Label-Free Optical Imaging for Biomedicine.
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