Single particle tracking has become a ubiquitous class of tools in the study of biology at the molecular level. While the broad adoption of these techniques has yielded significant advances, it has also revealed the limitations of the methods. Most notable among these is that traditional single particle tracking is limited to imaging the particle at low temporal resolutions and small axial ranges. This restricts applications to slow processes confined to a plane. Biological processes in the cell, however, happen at multiple time scales and length scales. Real-time feedback-driven single particle tracking microscopes have emerged as one group of methods that can overcome these limitations. However, the development of these techniques has been ad-hoc and their performance has not been consistently analyzed in a way that enables comparisons across techniques, leading to incremental improvements on existing sets of tools, with no sense of fit or optimality with respect to SPT experimental requirements. This thesis addresses these challenges through three key questions : 1) What performance metrics are necessary to compare different techniques, allowing for easy selection of the method that best fits a particular application? 2) What is a procedure to design single particle tracking microscopes for the best performance?, and 3) How does one controllably and repeatably experimentally test single particle tracking performance on specific microscopes?. These questions are tackled in four thrusts: 1) a comprehensive review of real-time feedback-driven single particle tracking spectroscopy, 2) the creation of an optimization framework using Fisher information, 3) the design of a real-time feedback-driven single particle tracking microscope utilizing extremum seeking control, and 4) the development of synthetic motion, a protocol that provides biologically relevant known ground-truth particle motion to test single particle tracking microscopes and data analysis algorithms. The comprehensive review yields a unified view of single particle tracking microscopes and highlights two clear challenges, the photon budget and the control temporal budget, that work to limit the two key performance metrics, tracking duration and Fisher information. Fisher information provides a common framework to understand the elements of real-time feedback-driven single particle tracking microscopes, and the corresponding information optimization framework is a method to optimally design these microscopes towards an experimental aim. The thesis then expands an existing tracking algorithm to handle multiple particles through a multi-layer control architecture, and introduces REACTMIN, a new approach that reactively scans a minimum of light to overcome both the photon budget and the control temporal budget. This enables tracking durations up to hours, position localization down to a few nanometers, with temporal resolutions greater than 1 kHz. Finally, synthetic motion provides a repeatable and programmable method to test single particle tracking microscopes and algorithms with a known ground truth experiment. The performance of this method is analyzed in the presence of common actuator limitations. / 2024-01-16T00:00:00Z

The thermal velocity fluctuations of microscopic particles mediate the transition from microscopic statistical mechanics to macroscopic long-time diffusion. Prior to this work, detection methods lacked the sensitivity necessary to resolve motion at the length and time scales at which thermal velocity fluctuations occur. This dissertation details two experiments which resulted in velocity measurement of the thermal motion of dielectric microspheres suspended by an optical trap in gases and liquids. First, optical tweezers were used to trap glass microspheres in air over a wide range of pressures and a detection system was developed to track the trapped microspheres' trajectories with MHz bandwidth and <100 fm/rt(Hz) position sensitivity. Low-noise trajectory measurements allowed for observation of fluctuations in the instantaneous velocity of a trapped particle with a signal to noise ratio (SNR) of 26 dB, and provided direct verification of the equipartition theorem and of the Maxwell-Boltzmann velocity distribution for a single Brownian particle. Next, the detection technology was further optimized and used to track optically trapped silica and barium titanate glass microspheres in water and acetone with >50 MHz bandwidth and <3 fm/rt(Hz) sensitivity. Brownian motion in a liquid is influenced by hydrodynamic, time-retarded coupling between the particle and the fluid flow its motion generates. Our measurements allowed for instantaneous velocity measurement with an SNR of up to 16 dB and confirmed the Maxwell Boltzmann distribution for Brownian motion in a liquid. The measurements also revealed several unusual features predicted for Brownian motion in the regime of hydrodynamic coupling, including faster-than-exponential decay of the velocity autocorrelation function, correlation of the thermal force and non-zero cross-correlation between the particle's velocity and the thermal force preceding it. / text

The last decade has seen substantial advances in single-molecule tracking methods with nano-metre level precision. A powerful tool in single-molecule tracking is fluorescence imaging. One particular application, total internal reflection microscopy, can capture biological processes at high contrast video rate imaging at the single-particle level. This thesis presents methodologically novel methods in analysing single particle tracking data. Presented here is an application of a Bayesian statistical approach that can discriminate between the different diffusive modes that appear with the presence of membrane architecture. This algorithm is denoted BARD; a Bayesian Analysis to Ranking Diffusion. These algorithms are applied to a total internal fluorescence microscopy based experimental data of a novel membrane probe in Escherichia coli. This probe is a plasmid expressed, non-native membrane integrating trans-membrane helix and thus acts as an ideal protein based probe under no specific native control. Two experiments were performed using a combination of varying helix probe size and growth temperature experiments effectively altering the transition temperature of the membrane. These data are suggestive of a passive partitioning of the helix protein into mobile and immobile domains that emerge from the underlying phase behaviour of the membrane.

Neurons are polarized cells with dendrites and an axon projecting from their cell body. Due to this polarized structure a major challenge for neurons is the transport of material to and from the cell body. The transport that occurs between the cell body and axons is called Axonal transport. Axonal transport has three major components: molecular motors which act as vehicles, microtubules which serve as tracks on which these motors move and microtubule associated proteins which regulate the transport of material. Axonal transport maintains the integrity of a neuron and its dysfunction is linked to neurodegenerative diseases such as, Alzheimer’s disease, Frontotemporal dementia linked to chromosome 17 and Pick’s disease. Therefore, understanding the process of axonal transport is extremely important. Single particle tracking is one method in which axonal transport is studied. This involves fluorescent labelling of molecular motors and microtubule associated proteins and tracking their position in time. Single particle tracking has shown that both, molecular motors and microtubule associated proteins exhibit motion with multiple components. These components are directed, where motion is in one direction, diffusive, where motion is random, and static, where there is no motion. Moreover, molecular motors and microtubule associated proteins also switch between these different components in a single instance of motion. We have developed a MATLAB program, called MixMAs, which specializes in analyzing the data provided by single particle tracking. MixMAs uses a sliding window approach to analyze trajectories of motion. It is capable of distinguishing between different components of motion that are exhibited by molecular motors and microtubule associated proteins. It also identifies transitions that take place between different components of motion. Most importantly, it is not limited by the number of transitions and the number of components present in a single trajectory. The analysis results provided by MixMAs include all the necessary parameters required for a complete characterization of a particle’s motion. These parameters are the number of different transitions that take place between different components of motion, the dwell times of different components of motion, velocity for directed component of motion and diffusion coefficient for diffusive component of motion. We have validated the working of MixMAs by simulating motion of particles which show all three components of motion with all the possible transitions that can take place between them. The simulations are performed for different values of error in localizing the position of a particle. The simulations confirm that MixMAs accurately calculates parameters of motion for a range of localization errors. Finally, we show an application of MixMAs on experimentally obtained single particle data of Kinesin-3 motor.

Single-particle tracking is a technique that allows for quantitative analysis of the localization and movement of particles. In this technique, trajectories are constructed by determining and connecting the positions of individual particles from consecutive images. Recent advances have made it possible to track hundreds of particles in an individual cell by labeling the particles of interest with photoactivatable or photoconvertible fluorescent proteins and tracking one or a few at a time. Single-particle tracking can be used to study the diffusion of particles. Here, we use intracellular single-particle tracking and trajectory simulations to study the diffusion of the fluorescent protein mEos2 in living Escherichia coli cells. Our data are consistent with a simple model in which mEos2 diffuses normally at 13 µm2 s−1 in the E. coli cytoplasm. Our approach can be used to study the diffusion of intracellular particles that can be labeled with mEos2 and are present at high copy numbers. Single-particle tracking can also be used to determine whether an individual particle is bound or free if the free particle diffuses significantly faster than its binding targets and remains bound or free for a long time. Here, we use single-particle tracking in living E. coli cells to determine the fractions of free ribosomal subunits, classify individual subunits as free or mRNA-bound, and quantify the degree of exclusion of bound and free subunits separately. We show that, unlike bound subunits, free subunits are not excluded from the nucleoid. This finding strongly suggests that translation of nascent mRNAs can start throughout the nucleoid, which reconciles the spatial separation of DNA and ribosomes with co-transcriptional translation. We also show that, after translation inhibition, free subunit precursors are partially excluded from the compacted nucleoid. This finding indicates that it is active translation that normally allows ribosomal subunits to assemble on nascent mRNAs throughout the nucleoid and that the effects of translation inhibitors are enhanced by the limited access of ribosomal subunits to nascent mRNAs in the compacted nucleoid.

Nanoscale structures play a fundamental role in diverse scientific areas, including biology and information technology. It is necessary to develop methods that can observe nanoscale structures and dynamic processes that involve them. Colloidal plasmonic nanoparticles (plasmonic “atoms”) and their clusters (plasmonic “molecules”) are nanoscale objects with remarkable optical properties that provide new opportunities for sensing and imaging on the relevant length and time scales. Many biology questions require optically monitoring of the dynamic behavior of biological systems on single molecule level. In contrast to the commonly used fluorescent probes which have the problem of bleaching, blinking and relatively weak signals, plasmonic probes display superb brightness, persistency and photostability, thus enable long observation time and high temporal and spacial resolutions. When plasmonic atoms are clustered together, their resonances redshift while the intensities increase as a result of plasmon coupling. These optical responses are dependent on the interparticle gaps and the overall geometry, which makes plasmonic molecules capable of detecting biomolecule clustering and measuring nanometer scale distance fluctuations. In this dissertation, individual plasmonic atoms are firstly evaluated as imaging probe and their interactions with lipid membrane are tested on a newly developed on-chip black lipid membrane system. Subsequently, plasmonic dimers (plasmon rulers) prepared through DNA-programmed self-assembly are monitored to detect the mechanical properties of single biopolymers. Measurement of the spring constant of short (tens of nucleotides or base pairs) DNAs is demonstrated through plasmon coupling microscopy. Colloidal plasmonic atoms of various materials, sizes and shapes scatter vivid colors in the full-visible range. Assembling them into plasmonic molecules provides additional degrees of freedom for color manipulation. More importantly, the electric field in the gaps of plasmonic molecules can be enhanced by several orders of magnitude, which is highly desirable in single molecule sensing applications. In this dissertation, the fundamentals of plasmonic coupling are investigated through one-dimensional gold nanosphere chains. Using the directed self-assembly approach, multichromatic color-switchable plasmonic nanopixels composed of plasmonic atoms and molecules of various materials, sizes, shapes and geometries are integrated in one image with nanometer precision, which facilitates the encoding of complex spectral features with high relevance in security tagging and high density optical data storage. / 2017-01-01T00:00:00Z

Trigger Factor (TF) is a prokaryotic chaperone protein that exerts its major chaperone activity while associated with translating ribosomes, assisting de novo folding of the emerging nascent chain. Although much is known about the kinetics behind TF-ribosome binding, most results are based on in vitro experiments which fail to mimic the cellular environment. Single-particle approaches have gained increasing power for studying binding kinetics of biomolecules in living cells. One such method is single-particle tracking by super-resolution fluorescence microscopy, where the position of a fluorescently labelled particle is recorded over time, giving information about the movement of the particle inside the cell. Changes in diffusion behaviour is then used as an indicator of changes in biological activities. In this work, a diffusion model that qualitatively and quantitatively describes TF’s binding to ribosomes is presented. The model was obtained by single-particle tracking of TF labelled with HaloTag. Particle movements were analysed with a Hidden Markov Model-based algorithm that fit the trajectories to a defined set of different diffusion states, where fast diffusion could be related to free TF and slow diffusion to a ribosome-bound state. Moreover, the model could distinguish between two types of ribosome interactions: TF’s stable binding to ribosomes and a faster sampling behaviour. The average time spent stably bound to ribosomes is 670 ms and these interactions account for 53% of TF’s activity. TF is one of many processing proteins that interact with the emerging peptide chain during translation. By using the same approach on more of these factors, the interplay between them and the growing nascent chain can be characterized, giving an increased understanding of the highly complex translation machinery.

Among the central constituents of the innate immune system are macrophages, which are known for phagocytosis or ‘eating’ foreign particles or pathogens. Macrophages express several cell-surface proteins including transmembrane and membrane-anchored receptors, which play a vital role in their response to pathogenic stimuli. The plasma membrane is a highly fluid and dynamic environment, which facilitates the diffusion of lipids and proteins within the plane of the membrane. This study aims to measure the lateral diffusion of two types of plasma membrane receptors on macrophages, toll-like receptor II (TLR2) and cluster of differentiation 14 (CD14), to answer three main research questions: 1) Which type of fluorescence-based microscopy techniques is best suited for measuring the lateral diffusion of TLR2 and CD14 on macrophage plasma membrane? 2) Does culturing macrophages on different surface topographies impact the diffusion of TLR2 in the plasma membrane and its pro-inflammatory response, along with morphological changes? 3) Does aging alter the lateral diffusion of TLR2 in the plasma membrane of macrophages? To date, a variety of fluorescence-based methods have been developed to study the dynamics of cell membrane constituents. These techniques are based on either ensemble or single particle measurements. We have used single particle tracking methods to track the mobility of fluorescently labeled membrane receptors on murine bone marrow-derived macrophages. Total internal reflection fluorescence microscopy (TIRF) was used to visualize and capture the dynamics in live cells. Using a custom routine algorithm we detected, localized, and tracked the particles to calculate their diffusion coefficient, extracted from the mean-squared displacement as the most common measure of diffusion. We also measured the diffusion coefficient using an ensemble-based technique known as Raster Image Correlation Spectroscopy (RICS) with a confocal laser-scanning microscope. The use of confocal eliminates the out-of-focus signal and enables measurements that are confined to a narrow plane in the cell. Also, the ability of RICS to separate the slow and immobile fractions of particles makes it possible to detect heterogeneities in diffusion. To our knowledge, this is the first study that has utilized both SPT and RICS to directly compare receptors’ diffusion in different membrane sections. Moreover, this is the first study that has examined the diffusion of receptors on macrophages adhered to different surface topographies, and the first that has investigated the receptors’ diffusion in young and old macrophages. / Thesis / Doctor of Philosophy (PhD) / The immune system is highly dependent on a specialized subset of white blood cells known as macrophages that are capable of clearing damaged and dead cells as well as a wide range of invading micro-organisms. Specific receptor proteins present on the membrane of macrophages are involved in the recognition of particles and subsequent signaling to recruit other immune cells or to promote healing and wound repair. To date, a variety of fluorescence-based microscopy methods have been used to study the dynamics of cell membrane components. The mobility of several membrane receptors in macrophages has been studied using microscopy techniques, which have provided valuable insights into their function. However, there is still insufficient information about the behavior of two key receptors (TLR2 and CD14) that participate in signaling in response to bacterial products. This thesis aims to answer three major questions with regard to receptor mobility (i.e., diffusion) within macrophage membrane: 1) Which type of fluorescence-based microscopy technique is more suitable for measuring the mobility of TLR2 and CD14 receptors on macrophage membranes? 2) What is the impact of different surface topographies on TLR2 diffusion in adhered macrophages, as well as cell shape, and the ability of macrophages to internalize particles? 3) Does aging alter TLR2 mobility in the membrane of macrophages? The following chapters provide detailed answers to these questions. In brief, we have demonstrated that TLR2 and CD14 diffusion measurements in adhered macrophages highly depend on the membrane section chosen. In addition, our results show that micro- and nanostructured surface topographies alter the shape of adhered macrophages and yield higher bacteria internalization, while the diffusion of TLR2 is not changed. When comparing macrophages derived from young and old mice, we find similar diffusion rate of TLR2 in macrophages of the two age groups.

Der eukaryotische Zellzyklus ist auf allen Ebenen der Genexpres- sion reguliert. Sowohl breit angelegte genetische Screens als auch funktionale Studien zu den beteiligten Proteinen haben unser Ver- ständnis dieses fundamentalen Prozesses geprägt. In dieser Arbeit behandle ich räumliche Aspekte der post-transkriptionalen Regulation des Zellzyklus, die mit lichtmikroskopischen Einzelzell- und Einzel- molekülmethoden experimentell zugänglich werden. Insbesondere untersuchte ich die subzelluläre Lokalisierung der messenger RNA von CLB2, einem zentralen Regulator der Mitose im eukaryotischen Modellorganismus Saccharomyces cerevisiae (Bierhefe). Frühere Studien zeigten, dass diese RNA sich im Laufe des vegetativen Zellwachstums in der entstehenden Tochterzelle, der Knospe, anreichert. Mithilfe modernster Fluoreszenzmikroskopie charakterisierte ich die Bewe- gung und Verteilung einzelner CLB2 messenger RNA-Moleküle auf Zeitskalen von Millisekunden bis hin zur Generationszeit dieser He- fen. Ich zeigte, dass sich mit Hilfe von Multifokusmikroskopie unter Verwendung optimierter Fluoreszenzmarker und der Entwicklung objektiver Analysemethoden die Bewegung einzelner RNA-Moleküle zwischen Mutterzelle und Knospe nachvollziehen lässt. Dazu präsen- tiere ich eine Methode um die beobachteten Trajektorien der messenger RNA mathematischen Analysen der Systembiologie zugänglich zu machen. Weiterhin gab die Beobachtung der Verteilung einzelner CLB2 messenger RNA Moleküle über den Zellzyklus hinweg mittels einer neuartigen Lichtblattmikroskopie (Lattice Light Sheet Microscopy) Hinweise auf eine bisher unbekannte Dynamik in der Lokalisierung dieser messenger RNA. Die hier entwickelten Methoden ermöglichen eine quantitative Untersuchung räumlicher Aspekte der posttranskrip- tionalen Zellzyklusregulation. / The eukaryotic cell cycle is regulated on all levels of gene expression. Genetic screens and functional studies of the involved proteins have shaped our understanding of this fundamental process. In this thesis I use single cell and single molecule light microscopy methods to investigate spatial aspects of post-transcriptional cell cycle regulation. I investigated the subcellular localization of CLB2 mRNA, a central regulator of mitosis in the eukaryotic model organism Saccharomyces cerevisiae (baker’s yeast). Previous studies have shown that that this messenger RNA is enriched in the emerging daughter cell, the bud, during vegetative growth. Using pre-commercial fluorescence micro- scopes I characterized the dynamics and partitioning of single CLB2 mRNA on time scales from milliseconds to the generation time of this yeast. I demonstrate that using aberration corrected multifocus mi- croscopy, optimized fluorescent markers, and here developed objective analysis methods, the translocation of single mRNA molecules be- tween mother and bud can be observed. In addition, I report a method to make these trajectories available for the mathematical approaches of Systems Biology. Further, the observation of single CLB2 mRNA partitioning throughout the cell cycle with the use of lattice light sheet microscopy suggested a previously unknown localization behavior of the transcript. The methods developed here enable a quantitative analysis of spatial aspects of post-transcriptional cell cycle regulation.

Foamyviren (FV) gehören zur Familie der Retroviridae, werden aber aufgrund besonderer Eigenschaften in eine eigene Unterfamilie, die Spumaretrovirinae, eingeordnet. FV besitzen vor allem in vitro einen sehr breiten Tropismus, so dass bisher keine Zelllinie bekannt war, die nicht durch FV infiziert werden konnte. Obwohl diese Besonderheit darauf schließen lässt, dass ein sehr ubiquitäres Molekül auf der Wirtszelloberfläche für die FV-Bindung verwendet wird, ist der Rezeptor für die Virus-Aufnahme noch nicht bekannt. Dass FV einen pH-abhängigen Aufnahmemechanismus verwenden, lässt eine endozytotische Aufnahme vermuten. Dennoch sind die frühen Replikationsschritte, die zur Fusion der viralen und Wirtszellmembran führen, nur unzureichend charakterisiert. Deswegen wurden in der vorliegenden Arbeit funktionelle autofluoreszierende FV hergestellt, um die Bindung und Aufnahmemechanismen foamyviraler Partikel in Wirtszellen mit fluoreszenzmikroskopischen Analysen zu untersuchen. Mit diesen Methoden konnten erstmalig vier Zelllinien identifiziert werden, die nicht mit FV infizierbar sind, und damit mögliche Kandidaten für die Identifizierung des unbekannten FV Rezeptors darstellen. Des Weiteren wurden die fluoreszierenden FV erfolgreich eingesetzt, um die Fusionsereignisse zwischen viraler und zellulärer Membran in Echtzeit in lebenden Zellen zu untersuchen. Die durchgeführte „Single Virus Tracking“-Analyse zeigte, dass PFV (Prototype FV) Env-tragende Partikel sowohl an der Plasmamembran als auch in vermeintlichen Endosomen fusionieren können, wohingegen SFV (Simian FV) Env-tragende Partikel die Fusion wahrscheinlich nur in Endosomen auslösen können. Hinweis zur Nutzung der Filmdateien: Öffnen mit QuickTimePlayer bzw. ImageJ