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Title:Personalized chemotherapeutic measurement of breast cancer cell response using photonic crystal microscopy
Author(s):Baddela, Suhas Venkat
Advisor(s):Cunningham, Brian T
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):personalized cancer therapy, photonic crystal, drug response, cell adhesion, breast cancer treatment
Abstract:This thesis presents the application of Photonic Crystal Enhanced Microscopy (PCEM) as a technique to dynamically monitor and assess breast cancer cells and their reaction to drugs in vitro. This method has the potential to be used for early drug development and devising personalized chemotherapy. The goal of personalized therapy is to target aberrations that drive tumor growth and survival, by administering the right drug combinations for the right person. To achieve this, it is critical to characterize tumor cells and test different drugs for their efficacy against these cancer cells. The PCEM technique allows the characterization and assessment of cell toxicity and apoptosis by dynamically tracking quantitative changes in cell size, adhesion and morphology. The parameters of individual cells are measured over different time points in a 24-hour period and these parametric changes in images are correlated to assess the death and reaction of the cells to different drug concentration. Cells are treated with different concentrations of the anticancer drug, doxorubicin. Cells in the spectrum image are identified and labeled by an image processing program, and analysis of cell metrics shows that cells reduce in size and become more spheroidal due to apoptosis induced by doxorubicin. Time dose response curves for the parameters of cell area, perimeter, mean intensity, circularity and diameter are obtained for eight concentrations at various time points. The shifts and trends in the time dose curves provide a way to quantify the concentration potency and its cytotoxicity across a long time interval of 24 hrs. The work in this thesis provides an additional imaging tool for monitoring early treatment response for cancer cells.
Issue Date:2020-05-11
Rights Information:Copyright 2020 Suhas Baddela
Date Available in IDEALS:2020-08-26
Date Deposited:2020-05

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