This thesis focuses on super resolution STED optical imaging. STED provides a wealth of new informational content to the acquired images by using stimulated emission to surpass the diffraction limit in optical fluorescence microscopy. To further increase the informational content, a new method to perform multicolor STED imaging by exploiting differences in the photostability and excitation spectra of dyes is presented. In order to extract information from the images, computational algorithms which handle the new type of high resolution informational content are developed. We propose that multicolor super resolution imaging in combination with image analysis can reduce the amount of clinical samples required to perform accurate cancer diagnosis. To date, such diagnosis is based mainly on significant amounts of tissue samples extracted from the suspected tumor site. The sample extraction often requires anesthetics and can lead to complications such as hematoma, infections and even cancer cell ceding along the needle track. We show that by applying multicolor STED and image analysis, the information gained from single cells is greatly increased. We therefore propose that accurate diagnosis can be based on significantly less extracted tissue material, allowing for a more patient friendly sampling. This approach can also be applied when studying blood platelets, where we show how the high informational content can be used to identify platelet specific activational states. Since platelets are involved in many different types of diseases, such analysis could provide means of performing truly minimally invasive diagnostics based on a simple blood test. In addition, our data makes it possible to understand in finer detail the underlying mechanisms rendering cells metastasis competent. We combine the high resolution spatial information provided by STED with information regarding the adhesive forces of cells measured by TFM (Traction Force Microscopy) and the cell stiffness measured by AFM (Atomic Force Microscopy). Such comparisons provide a link between the specific highly resolved protein distributions and different cellular mechanics and functions. This thesis also includes STED imaging and analysis on the spatial organization of neuronal synaptic regulating proteins, implicating the speed with which neuronal signaling can be regulated. / <p>QC 20140207</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-141011 |
| Date | January 2014 |
| Creators | Rönnlund, Daniel |
| Publisher | KTH, Experimentell biomolekylär fysik, Stockholm |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Doctoral thesis, comprehensive summary, info:eu-repo/semantics/doctoralThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | TRITA-FYS, 0280-316X ; 2014:04 |
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