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Single cell analysis has typically been difficult and challenging to perform in such a way that meaningful statistical information can be extracted. This thesis documents the development of a microchip or lab-on-a-chip platform to perform single cell electrophoresis in parallel separation channels. It describes the use of optical tweezers to select a cell and transport it to a desired separation channel. It also describes the use of electromechanical shearing to lyse a cell. These two techniques are combined with laser-micromachined separation channels to perform simple electrohoresis on the...

In medicine, there is a clear trend towards individualized therapies, for cancer and other diseases. Individualized treatment planning for cancer, particularly in radiotherapy and light therapies, is a complex optimization problem. As analytical inverse planning solutions do not exist for light therapies, a large number of light delivery configurations must be evaluated to find one that best conforms to the clinical target (e.g., a tumour). An integral part of this optimization is the accurate computation of light dose, ideally using Monte Carlo (MC) simulations for realistic, 3-D modelling....

Biological fields ranging from cancer to stem cell research can benefit heavily from chemical cytometry on a single cell level. The dimensionality of the retrievable analytes content directly affects the impact that chemical cytometry can have on these fields. Consequently, the number of different analytes that can be identified and their subcellular localization are of significant importance. We present an electrical lysis based approach to selectively lyse only the plasma membrane of a single cell. This method permits analysis of the dissolved cytoplasm and reduces contributions from the...