Label-Free Studies of Single Biological Nanoparticles Using Optical Nanotweezers
| dc.contributor.author | Peters, Matthew | |
| dc.contributor.supervisor | Gordon, Reuven | |
| dc.date.accessioned | 2024-07-05T17:01:42Z | |
| dc.date.available | 2024-07-05T17:01:42Z | |
| dc.date.issued | 2024 | |
| dc.degree.department | Department of Electrical and Computer Engineering | |
| dc.degree.level | Master of Applied Science MASc | |
| dc.description.abstract | This thesis has two parts. In the first, we demonstrated tracking and imaging of single proteins without a fluorescent label or tether, well below the previously achieved smallest protein. This result made use of interference effects similar to interferometric scattering microscopy, with additional interference enhancement from the enhanced electromagnetic field. We use the tracking to obtain a single proteins velocity and size the protein. In the second part, we explored the use of optical scattering from an unlabelled. single extracellular vesicle to be used for cancer diagnostics. We trained a 1D-convolutional neural network using the transmission signal of an extracellular vesicle trapped in a double nanohole. We achieved a greater than 90% accuracy in classifying an extracellular vesicle with its parent cell. Three different parent cells were used, MCF10A (non-malignant), MCF7 (non-invasive, cancerous), and MDA-MB-231 (invasive, cancerous). | |
| dc.description.scholarlevel | Graduate | |
| dc.identifier.uri | https://hdl.handle.net/1828/16715 | |
| dc.language | English | eng |
| dc.language.iso | en | |
| dc.rights | Available to the World Wide Web | |
| dc.subject | label free | |
| dc.subject | singe molecule | |
| dc.subject | protein | |
| dc.subject | optical tweezers | |
| dc.subject | machine learning | |
| dc.title | Label-Free Studies of Single Biological Nanoparticles Using Optical Nanotweezers | |
| dc.type | Thesis |