Cell Vibrational Profiling (CVP) Using Optical Tweezers to Improve Tumour Diagnosis: A Novel Methodological Approach

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dc.contributor.advisorAmrein, Matthias
dc.contributor.authorTopham, Jared James
dc.contributor.committeememberGreen, Francis
dc.contributor.committeememberFarshidfar, Farshad
dc.date2021-11
dc.date.accessioned2021-06-30T15:06:17Z
dc.date.available2021-06-30T15:06:17Z
dc.date.issued2021-06-29
dc.description.abstractCellular oscillations have long been recognized and previously suggested as a powerful real-time diagnostics tool for identifying and differentiating biological specimens. The oscillatory signals emitted by various biological samples are thought to be due to metabolic processes inherent to the measured sample. Various methods to measure oscillatory signals have used atomic force and dark-field microscopy accompanied by traditional interpretative methods such as Root Mean Square, Fast Fourier transform, time-domain analysis, and power spectral density. While these approaches were fundamental to the recognition of the field of cellular oscillations, the instrumentation lacked sensitivity and resolution, leading to difficulties in (1) analyzing complete frequency spectra of more than a few Hz, (2) providing empirically tested methodological approaches, and (3) statistically differentiating and/or determining distinct frequency regions for a cell-type of interest. This thesis sought to build and test a novel methodological approach to measuring and determining cellular vibrational frequency profiles. We hypothesized, each cell line (NMSCs, HEKa, and A549) exhibited unique and measurable vibrational frequency profiles reflective of their intrinsic cellular processes, measured via optical tweezers. We disclosed our efforts to improve the methodology by (1) optimizing experimental set-ups, looking specifically at sample preparation (implementation of microfluidic chambers, synchronization of cell cycles, and changes to media viscosity), and (2) analyzing data through the implementation of multivariate statistical analysis achieved through our newly developed software: VibrationScanner. Our results capitalized on our discoveries to establish a new method, cell vibrational profiling, in hopes that it may become a high-throughput, cost-effective, and sensitive technique to reliably identify biological functions and frequency components of cells.en_US
dc.identifier.citationTopham, J. J. (2021). Cell Vibrational Profiling (CVP) Using Optical Tweezers to Improve Tumour Diagnosis: A Novel Methodological Approach (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/38965
dc.identifier.urihttp://hdl.handle.net/1880/113567
dc.language.isoengen_US
dc.publisher.facultyCumming School of Medicineen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectOptical Tweezersen_US
dc.subjectCancer Biologyen_US
dc.subjectMultivariate Statistical Analysisen_US
dc.subjectPrincipal Component Analysisen_US
dc.subjectOrthogonal Partial Least Squares - Discriminate Analysisen_US
dc.subjectCellular Vibrational Profilingen_US
dc.subjectFrequencyen_US
dc.subjectOscillationsen_US
dc.subjectNon-Melanoma Skin Cancersen_US
dc.subjectNon-Small Cell Lung Canceren_US
dc.subject.classificationBiologyen_US
dc.subject.classificationMedicine and Surgeryen_US
dc.subject.classificationOncologyen_US
dc.subject.classificationComputer Scienceen_US
dc.subject.classificationEngineering--Biomedicalen_US
dc.titleCell Vibrational Profiling (CVP) Using Optical Tweezers to Improve Tumour Diagnosis: A Novel Methodological Approachen_US
dc.typemaster thesisen_US
thesis.degree.disciplineMedicine – Medical Sciencesen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameMaster of Science (MSc)en_US
ucalgary.item.requestcopytrueen_US
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