Image Segmentation of Fluorescence Retinal Images for Photothermal Retinal Prosthetics

Reddi, Anoop

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Overview

Year:: 2023
Contributor:: Reddi, Anoop (creator); Lee, Jonghwan (Advisor); Borton, Dave (Reader); Mathiowitz, Edith (Reader); Morgan, Jeffrey (Reader); Brown University. Biology and Medicine: Biomedical Engineering (sponsor)
Genre:: theses
Subject:: plasmonic retinal prosthetic
Extent:: , None p.

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Description

Abstract:: Currently, electrode-based retinal implants are severely limited in the restoration of vision loss. These implants are highly-invasive, limited in resolution, and degrade in utility overtime. A novel, minimally-invasive retinal prosthesis is being developed to overcome such limitations and stimulate retinal neurons to restore vision in blindness. This system uses gold nanorods (AuNRs) and near-infrared (NIR) light to activate retinal neurons by causing temperature changes in the neuronal membranes. A custom experimental setup involving a scanning laser system and a fluorescence imaging system will be used to validate the photothermal activation of retinal neurons ex-vivo before moving on to in-vivo investigations. An important aim in the ex-vivo validation is to determine the number of RGCs activated per unit time by analyzing the images taken by the camera. Our imaging system captures ~1000 retinal neurons, and it is very challenging if not impossible, to manually identify individual cells and obtain their time traces, especially when we have tens of retinal samples and data to analyze. This thesis focuses on implementing various image segmentation algorithms that automatically identify individual cells from a grayscale fluorescence image of a retinal explant and comparing their performance.
Notes:: Thesis (Sc. M.)--Brown University, 2023

Content

Citation

Reddi, Anoop, "Image Segmentation of Fluorescence Retinal Images for Photothermal Retinal Prosthetics" (2023). Biomedical Engineering Theses and Dissertations. Brown Digital Repository. Brown University Library. https://repository.library.brown.edu/studio/item/bdr:zby2cu34/

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Biomedical Engineering Theses and Dissertations

Theses and Dissertations for the Biomedical Engineering department.
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