There is great need of robust and high throughput techniques for accurately measuring the concentration of nanoparticles in a solution. Microarray imaging techniques using widely used to quantify the binding of labeled analytes to a functionalized surface. However, most approaches require the combined output of many individual binding events to produce a measurable signal, which limits the sensitivity of such assays at low sample concentrations. Although a number of high-NA optical techniques have demonstrated the capability of imaging individual nanoparticles, these approaches have not been adopted for diagnostics due complex instrumentation and low assay throughput. Alternatively, interferometric imaging techniques based on light scattering have demonstrated the potential for single nanoparticle detection on a robust and inexpensive platform. This dissertation focuses on the development of methods and infrastructure to enable the development of diagnostic assays using the Single Particle Interferometric Imaging Sensor (SP-IRIS). SP-IRIS uses a bright-field reflectance microscope to image microarrays immobilized on a simple reflective substrate, which acts as a common-path homodyne interferometer to enhance the visibility of nanoparticles captured near its surface. This technique can be used to detect natural nanoparticles (such as viruses and exosomes) as well as molecular analytes (proteins and nucleic acid sequences) which have been tagged with metallic nanoparticle in a sandwich assay format. Although previous research efforts have demonstrated the potential for SP-IRIS assays in a variety of applications, these studies have largely been focused on demonstrating theoretical proof of concept in a laboratory setting. In contrast, the effective use of SP-IRIS as a clinical diagnostic platform will require significant functional improvements in automation of assay incubation, instrument control, and image analysis. In this dissertation, we discuss the development of instrumentation and software to support the translation of SP-IRIS from manual laboratory technique into an automated diagnostic platform. We first present a collection of mechanical solutions to enable the real-time, in-solution imaging of nanoparticles in disposable microfluidic cartridges. Next, we present image analysis techniques for the detection of nanoparticle signatures within digital images, and discuss solutions to the unique obstacles presented by the ill-defined focal properties of homodyne interferometry. Finally, we present a particle tracking algorithm for residence time analysis of nanoparticle binding in real-time datasets. Collectively, these improvements represent significant progress towards the use of SP-IRIS as a robust and automated diagnostic platform. / 2019-07-02T00:00:00Z

X-ray lasers are creating unprecedented research opportunities in physics,chemistry and biology. The peak brightness of these lasers exceeds presentsynchrotrons by 1010, the coherence degeneracy parameters exceedsynchrotrons by 109, and the time resolution is 105 times better. In theduration of a single flash, the beam focused to a micron-sized spot has the samepower density as all the sunlight hitting the Earth, focused to a millimetresquare. Ultrafast coherent X-ray diffractive imaging (CXDI) with X-ray lasers exploitsthese unique properties of X-ray lasers to obtain high-resolution structures fornon-crystalline biological (and other) objects. In such an experiment, thesample is quickly vaporised, but not before sufficient scattered light can berecorded. The continuous diffraction pattern can then be phased and thestructure of a more or less undamaged sample recovered% (speed of light vs. speed of a shock wave).This thesis presents results from the first ultrafast X-ray diffractive imagingexperiments with linear accelerator-driven free-electron lasers and fromoptically-driven table-top X-ray lasers. It also explores the possibility ofinvestigating phase transitions in crystals by X-ray lasers. An important problem with ultrafast CXDI of small samples such as single proteinmolecules is that the signal from a single measurement will be small, requiringsignal enhancement by averaging over multiple equivalent samples. We present anumerical investigation of the problems, including the case where samplemolecules are not exactly identical, and propose tentative solutions. A new software package (Hawk) has been developed for data processing and imagereconstruction. Hawk is the first publicly available software package in thisarea, and it is released as an open source software with the aspiration offostering the development of this field.

The method of dipole orientation of protein complexes using electric fields plays a key role in the development of single particle imaging, since it enables orientation of the protein in vacuum. In the orientation process the protein is exposed to an external electric field along which the dipole axis of the protein will eventually align. Earlier studies using molecular dynamics simulations have implemented a constant electric field to examine the dipole orientation process. However, when injected into the electric field the protein experiences a gradually increasing field strength converging to some terminal field strength rather than a constant electric field. In order to examine the effects of the time-dependant nature of the electric field, in comparison to a constant one, fields with different time dependances were implemented in molecular dynamics simulations in vacuum performed with GROMACS. Ubiquitin was chosen as a model protein. The results of the study show time-increasing fields tend to result in slower orientation, but preserve the structure of the protein better than for a constant field. It was also shown that after 10 ns electric field exposure, with terminal field strengths greater  or equal to 0.6Vnm^-1, there was no apparent difference of the average degree of orientation of proteins within the time-increasing fields and the constant one. However, for fields of greater or equal to 1.5Vnm^-1 the constant field tended to result in a larger change of the protein structure.

No description available.

Proteins often carry an intrinsic electric dipole moment, which can interact with external electric fields and cause protein motion. Previous research has found that the orientation of small proteins in gas phase can be controlled in a static electric field. This effect is hoped to benefit applications such as single-particle imaging, and possibly other techniques involving proteins in electric fields. With the purpose of improving our understanding and modeling of protein orientation, this project investigated the scarcely explored quantum mechanical aspects of the process, namely the polarizability. Ground-state electronic structure simulations of three small model proteins, ubiquitin, Trp-cage and lysozyme, under the influence of electric fields were performed in vacuum. The electric dipole moments of the proteins were extracted from simulations with an applied electric field of strength 1 V/nm for varying angles, with respect to a body fixed reference frame. A Python program was written to analyze and visualize the results. The results point to a connection between the polarizability and the structure of the proteins, as well as size. Next a 3D rigid rotor model was developed using Mathematica in order to study the orientation dynamics classically in a simplified and time efficient way, with the possibility of including the previous quantum results. A comparison between a simulation of ubiquitin with and without polarizability concluded that the polarizability seems to have a damping effect on the orientation dynamics, at least for the initial conditions tested in this study. Further research is necessary to validate the model and perform statistical analysis of many simulations with varying initial conditions. / Proteiner bär ofta på ett inneboende elektriskt dipolmoment, som vid interaktion med externa elektriska fält och orsakar rörelse hos proteinerna. Tidigare studier har funnit att orienteringen av små proteiner i gasfas kan kontrolleras i ett statiskt elektriskt fält. Den effekten kan förhoppningsvis vara en fördel i tillämpningar såsom single-particle imaging, och eventuellt andra tekniker som innefattar proteiner i elektriska fält. I syftet att förbättra vår förståelse och modellering av protein-orientering, har detta projekt undersökt de föga utforskade kvantmekaniska aspekterna av processen, nämligen polariserbarheten. Kvant-baserade simuleringar av grundtillståndet av tre små proteiner, ubiquitin, Trp-cage och lysozym, under påverkan av elektriska fält utfördes i vakuum. Proteinernas elektriska dipolmoment extraherades från simuleringar med ett elektriskt fält med styrkan 1 V/nm för olika vinklar, med avseende på ett kroppsfixerat koordinatsystem. Ett Python-program skrevs för att analysera och visualisera resultaten. Resultaten tyder på att polariserbarheten beror på strukturen och storleken av proteinerna. Därefter utformades en stel-rotor-modell med hjälp av Mathematica för att studera prienteringen klassiskt på ett förenklat och tidseffektivt sätt, med möjligheten att inkludera de tidigare kvantmekaniska resultaten. En jämförelse mellan en simulering av ubiquitin med och utan polariserbarhet konstaterade att polariserbarheten verkar ha en dämpande effekt på orienteringen, åtminstone för begynnelsevillkoren som testades i denna studie. Vidare forskning krävs för att styrka modellen och utföra statistisk analys av många simuleringar med varierande begynnelsevillkor.

X-ray lasers bring us into a new world in photon science by delivering extraordinarily intense beams of x-rays in very short bursts that can be more than ten billion times brighter than pulses from other x-ray sources. These lasers find applications in sciences ranging from astrophysics to structural biology, and could allow us to obtain images of single macromolecules when these are injected into the x-ray beam. A macromolecule injected into vacuum in a microdroplet will be affected by evaporation and by the dynamics of the carrier liquid before being hit by the x-ray pulse. Simulations of neutral and charged water droplets were performed to predict structural changes and changes of temperature due to evaporation. The results are discussed in the aspect of single molecule imaging. Further studies show ionization caused by the intense x-ray radiation. These simulations reveal the development of secondary electron cascades in water. Other studies show the development of these cascades in KI and CsI where experimental data exist. The results are in agreement with observation, and show the temporal, spatial and energetic evolution of secondary electron cascades in the sample. X-ray diffraction is sensitive to structural changes on the length scale of chemical bonds. Using a short infrared pump pulse to trigger structural changes, and a short x-ray pulse for probing it, these changes can be studied with a temporal resolution similar to the pulse lengths. Time resolved diffraction experiments were performed on a phase transition during resolidification of a non-thermally molten InSb crystal. The experiment reveals the dynamics of crystal regrowth. Computer simulations were performed on the infrared laser-induced melting of bulk ice, giving a comprehension of the dynamics and the wavelength dependence of melting. These studies form a basis for planning experiments with x-ray lasers.

The newly emerging technology of X-ray free-electron lasers (XFELs) has the potential to revolutionise molecular imaging. XFELs generate very intense X-ray pulses and predictions suggest that they may be used for structure determination to atomic resolution even for single molecules. XFELs produce femtosecond pulses that outrun processes of radiation damage and permit the study of structures at room temperature and of structural dynamics. While the first demonstrations of flash X-ray diffractive imaging (FXI) on biological particles were encouraging, they also revealed technical challenges. In this work we demonstrated how some of these challenges can be overcome. We exemplified, with heterogeneous cell organelles, how tens of thousands of FXI diffraction patterns can be collected, sorted, and analysed in an automatic data processing pipeline. We improved  image resolution and reduced problems with missing data. We validated, described, and deposited the experimental data in the Coherent X-ray Imaging Data Bank. We demonstrated that aerosol injection can be used to collect FXI data at high hit ratios and with low background. We reduced problems with non-volatile sample contaminants by decreasing aerosol droplet sizes from ~1000 nm to ~150 nm. We achieved this by adapting an electrospray aerosoliser to the Uppsala sample injector. Mie scattering imaging was used as a diagnostic tool to measure positions, sizes, and velocities of individual injected particles. XFEL experiments generate large amounts of data at high rates. Preparation, execution, and data analysis of these experiments benefits from specialised software. In this work we present new open-source software tools that facilitates prediction, online-monitoring, display, and pre-processing of XFEL diffraction data. We hope that this work is a valuable contribution in the quest of transitioning FXI from its first experimental demonstration into a technique that fulfills its potentials.