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The development of a super-resolution (MINFLUX) microscope for studying protein distribution in human tissue
Graduate Thesis/Dissertation   Open access

The development of a super-resolution (MINFLUX) microscope for studying protein distribution in human tissue

En Watanabe
Bachelor of Medical Science with Honours - BMedSc (Hons), University of Otago
University of Otago
2023
Handle:
https://hdl.handle.net/10523/15199

Abstract

Super-resolution microscopy Alzheimer's disease Nanoscopy Ryanodine receptor MINFLUX
Many techniques have been developed to better understand the cellular processes which govern normal function and pathogenesis in humans. The technique which first allowed scientists to peer into this complex world was light microscopy. However, the nature of light placed a physical limit to the resolution achievable by light microscopy to no less than ∼200 nm. But at the start of the 21st century, techniques which broke this resolution limit emerged, giving rise to the field of super-resolution microscopy (SRM). SRM circumvented the resolution limit through selective or stochastic activation of fluorophores. Initial SRM techniques achieved ∼20 nm resolution, sufficient to resolve some individual large proteins. More recently, a new SRM technique was introduced which achieved ∼1 nm resolution. A low-power excitation beam with a central minimum was employed where localisation of fluorophores was achieved through minimising the recorded photon flux, giving rise to the name of the method: MINFLUX. We aim to produce an improved MINFLUX microscope and apply it to living biological samples to investigate protein distribution and changes in disease—namely Alzheimer’s disease. Our initial target was the ryanodine receptor, a large protein known to redistribute in cardiac and neuronal diseases. Major steps toward the construction of a functional MINFLUX microscope were achieved. A rudimentary super-resolution image of a synthetic fluorescent sample was generated by our system using a form of MINFLUX. Due to limitations in time, our system was not able to be used for the visualisation of proteins such as the ryanodine receptor in human tissue. However, with the appropriate future direction, our system shows great promise in fulfilling this aim and uncovering pathophysiology for the guidance of disease management and treatment.
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