Biomedical study researchers using animals to model disease and treatment need fast, deep, noninvasive, and inexpensive multi-channel imaging methods. Traditional fluorescence microscopy meets those criteria to an extent. Specifically, two-photon and confocal microscopy, the two most commonly used methods, are limited in penetration depth, cost, resolution, and field of view. In addition, two-photon microscopy has limited ability in multi-channel imaging. Light sheet microscopy, a fast developing 3D fluorescence imaging method, offers attractive advantages over traditional two-photon and confocal microscopy. Light sheet microscopy is much more applicable for in vivo 3D time-lapsed imaging, owing to its selective illumination of tissue layer, superior speed, low light exposure, high penetration depth, and low levels of photobleaching. However, standard light sheet microscopy using Gaussian beam excitation has two main disadvantages: 1) the field of view (FOV) of light sheet microscopy is limited by the depth of focus of the Gaussian beam. 2) Light-sheet images can be degraded by scattering, which limits the penetration of the excitation beam and blurs emission images in deep tissue layers. While two-sided sheet illumination, which doubles the field of view by illuminating the sample from opposite sides, offers a potential solution, the technique adds complexity and cost to the imaging system. We investigate a new technique to address these limitations: Bessel light sheet microscopy in combination with incoherent nonlinear Structured Illumination Microscopy (SIM). Results demonstrate that, at visible wavelengths, Bessel excitation penetrates up to 250 microns deep in the scattering media with single-side illumination. Bessel light sheet microscope achieves confocal level resolution at a lateral resolution of 0.3 micron and an axial resolution of 1 micron. Incoherent nonlinear SIM further reduces the diffused background in Bessel light sheet images, resulting in confocal quality images in thick tissue. The technique was applied to live transgenic zebra fish tg(kdrl:GFP), and the sub-cellular structure of fish vasculature genetically labeled with GFP was captured in 3D. The superior speed of the microscope enables us to acquire signal from 200 layers of a thick sample in 4 minutes. The compact microscope uses exclusively off-the-shelf components and offers a low-cost imaging solution for studying small animal models or tissue samples.

This thesis project evaluates and compares different deep learning based segmentation tools for acquiring 3D segmentations of mitochondria. These segmentations could then hopefully be used in the future to quantify the mitochondria dynamics, which is vital for the survival of human cells. Four different models were evaluated and compared using the metrices Intersection over Union (IoU) and Dice, and a measurement of the quantity and area of the segmented mitochondria. The four different models were from the Fiji U-Net plugin, MitoSegNet, EmbedSeg 2D and EmbedSeg 3D. The data used was microscopic images of transfected MDCKII cells taken using a Lattice light-sheet microscope. Processing of the data was done in Fiji, which included manual annotation of the images in order to acquire ground truth segmentations. The results showed that the most suited model for this task was the model from the Fiji U-Net plugin. The other models also generated adequate segmentations, but could not adapt to images from a different cell. It was also concluded that stacking together 2D segmentations in order to achieve a 3D segmentations was successful. / Detta examensarbete utvärderar och jämför olika djupinlärningsbaserade segmenteringsverktyg för att få 3D-segmenteringar av mitokondrier. Dessa segmenteringar kan sedan förhoppningsvis användas i framtiden för att kvantifiera mitokondriernas dynamik, vilken är avgörande för de mänskliga cellernas överlevnad. Fyra olika modeller utvärderades och jämfördes med hjälp av måtten IoU och Dice, samt en mätning av kvantiteten och arean av de segmenterade mitokondrierna. De fyra olika modellerna var från en Fiji U-Net-plugin, MitoSegNet, EmbedSeg 2D och EmbedSeg 3D. Datan som användes var mikroskopbilder av transfekterade MDCKII-celler tagna med ett Lattice light-sheet mikroskop. Processeringen av datan gjordes i Fiji, som inkluderade manuell annotering av bilderna för att få ground truth segmenteringar. Resultaten visade att modellen som var bäst lämpad för denna uppgift var modellen från Fiji U-Net-pluginen. De andra modellerna genererade också adekvata segmenteringar, men kunde inte anpassa sig till bilder av en annan cell. En slutsats var också att stapla samman 2D-segmenteringar för att få 3D-segmenteringar var en lyckad metod.

Adapting the tools of optical microscopy to the large-scale dynamic systems encountered in the development of multicellular organisms provides a path toward understanding the physical processes necessary for complex life to form and function. Obtaining quantitatively meaningful results from such systems has been challenging due to difficulty spanning the spatial and temporal scales representative of the whole, while also observing the many individual members from which complex and collective behavior emerges. A three-dimensional imaging technique known as light sheet fluorescence microscopy provides a number of significant benefits for surmounting these challenges and studying developmental systems. A thin plane of fluorescence excitation light is produced such that it coincides with the focal plane of an imaging system, providing rapid acquisition of optically sectioned images that can be used to construct a three-dimensional rendition of a sample. I discuss the implementation of this technique for use in larva of the model vertebrate Danio rerio (zebrafish). The nature of light sheet imaging makes it especially well suited to the study of large systems while maintaining good spatial resolution and minimizing damage to the specimen from excessive exposure to excitation light. I show the results from a comparative study that demonstrates the ability to image certain developmental processes non-destructively, while in contrast confocal microscopy results in abnormal growth due to phototoxicity. I develop the application of light sheet microscopy to the study of a previously inaccessible system: the bacterial colonization of a host organism. Using the technique, we are able to obtain a survey of the intestinal tract of a larval zebrafish and observe the location of microbes as they grow and establish a stable population in an initially germ free fish. Finally, I describe a new technique to measure the fluid viscosity of this intestinal environment in vivo using magnetically driven particles. By imaging such particles as they are oscillated in a frequency chirped field, it is possible to calculate properties such as the viscosity of the material in which they are embedded. Here I provide the first known measurement of intestinal mucus rheology in vivo. This dissertation includes previously published co-authored material.

Understanding and identifying critical protein-protein interactions is just one of the key outcomes in biological research. It can help to confirm key cellular interactions, which in some fields, such as cancer research, can result in a greater understanding of disease pathogenesis, elucidate mechanisms of therapeutic resistance and aid in the development of new specific targets, leading to new methods of prevention and treatment. Time-correlated single photon counting fluorescence lifetime imaging microscopy is just one of the tools used to carry out this line of research. Here we demonstrate a direct interaction between two proteins involved in gene regulation and expression; p21 and FMN2. Furthermore, we also show the capability of this system to measure chromatin compaction in three dimensions. However, fluorescence lifetime imaging has some drawbacks, acquisition times on such a system can range from the tens of seconds to minutes, which is often too long to comprehensively measure many biological events. But microscopy is always developing, aided by new techniques and, perhaps even more so, new technological developments. This thesis also demonstrates two new methods of light sheet microscopy, that use both new equipment made available because of technological developments to allow time resolved imaging and traditional microscopic aspects to form a light sheet system based on polarisation. It outlines the design and how to build these systems and presents their function to show their great promise. Both techniques presented in this thesis utilise aspects of light not conventionally used in light sheet microscopy. Further development of these systems and application of emerging technologies will yield a system capable of outperforming current light sheet fluorescence microscopy-based fluorescence lifetime imaging techniques. The implementation of polarisation control into such a system would enable three-dimensional anisotropy based SPIM-FLIM measurements, an indispensable tool in researching molecular orientation and mobility at a macroscopic level in developing organisms.

All animals harbor microorganisms that interact with each other and with their hosts. These microorganisms play important roles in health, disease, and defense against pathogens. The microbial communities in the intestine are particularly important in preventing colonization by pathogens; however, this defense mechanism and the means by which pathogens overcome it remain largely unknown. Moreover, while the composition of animal-associated microbial communities has been studied in great depth, the spatial and temporal dynamics of these communities has only recently begun to be explored. Here, we use a transparent model organism, larval zebrafish, to study how a human pathogen, Vibrio cholerae, invades intestinal communities. We pay particular attention to a bacterial competition mechanism, the type VI secrection system (T6SS), in this process. In vivo 3D fluorescence imaging and differential contrast imaging of transparent host tissue allow us to establish that V. cholerae can use the T6SS to modulate the intestinal mechanics of its host to displace established bacterial communities, and we demonstrate that one part of the T6SS apparatus, the actin crosslinking domain, is responsible for this function. Next, we develop an automated high-throughput light sheet fluorescence microscope to allow rapid imaging of bacterial communities and host cells in live larval zebrafish. Light sheet fluorescence microscopy (LSFM) has been limited in the past by low throughput and tedious sample preparation, and our new microscope features an integrated fluidic circuit and automated positioning and imaging to address these issues and allow faster collection of larger datasets, which will considerably expand the use of LSFM in the life sciences. This microscope could also be used for future experiments related to bacterial communities and the immune system. The overarching theme of the work in this dissertation is the use and development of advanced imaging techniques to make new biological discoveries, and the conclusions of this work point the way toward understanding pathogenic invasion, maximizing the use of LSFM in the life sciences, and gaining a better grasp of host-associated bacterial community dynamics. This dissertation includes previously published and unpublished co-authored material.

archives@tulane.edu / For decades, histopathology and cytology have provided the reference standard for cancer diagnosis, prognosis prediction and treatment decisions. However, they are limited to 2D slices, which are created via cutting and/or smearing, thus not faithfully representing the true 3D structures of the cellular or tissue material. Multiple imaging methods have been utilized for non-destructive histologic imaging of tissues, but are usually limited by varying combinations of low resolution, low penetration depth, or a relatively slow imaging speed, and all suffer from anisotropic resolution, which could distort 3D tissue architectural renderings and thus hinder new work to analyze and quantify 3D tissue microarchitecture. Therefore, there is a clear need for a non-destructive imaging tool that can accurately represent the 3D structures of the tissue or cellular architecture, with comparable qualities and features as traditional histopathology. In this work, dual-view inverted selective plane illumination microscopy (diSPIM) has been customized and optimized for fast, 3D imaging of large biospecimens. Imaging contrast of highly scattering samples has been further improved by adding confocal detection and/or structured illumination (SI) as additional optional imaging modes. A pipeline of dual-view imaging and processing has also been developed to achieve more isotropic 3D resolution, specifically on DRAQ5 and eosin (D&E) stained large (millimeter to centimeter size) biopsies. To determine the impact of 3D, high-resolution imaging on clinical diagnostic endpoints, multiple prostate cancer (PCa) biopsies have been collected, imaged with diSPIM, and evaluated by pathologists. It has been found that the pathologist is “equally” confident on the PCa diagnosis from viewing 3D volumes and 2D slices, and the diagnostic agreement between 3D volumes is significantly higher than 2D slices. The high-resolution and large-volume coverage of diSPIM may also help verify results from other lower-resolution modalities by serving as a 3D histology surrogate. Tissue correlations have been found between images acquired by diSPIM and photo-acoustic imaging, or by diSPIM and biodynamic imaging, proving diSPIM as a useful tool to aid in validation of lower-resolution imaging tools. The potential of diSPIM imaging has also been demonstrated in other applications, such as in the study of in-vitro neural models. / 1 / Bihe Hu

In many systems, in vitro or in vivo, it has become important to experimentally obtain dynamical information at many different positions simultaneously. This is a challenge as conventionally, dynamic information in biological systems is probed with a confocal microscope to perform either fluorescence correlation spectroscopy (FCS) or fluorescence recovery after photobleaching (FRAP), which can be damaging due to phototoxicity, and yields information at a single position. Advances in camera sensors have allowed their use in place of single point detectors and the implement of imaging FCS by way of single plane illumination microscopy (SPIM). In this modality, a light sheet with a thickness of only a few microns illuminates the sample and the fluorescence is projected orthogonally onto the camera chip. By imaging small regions of interest at a very high frame rate, we can determine dynamic parameters such as diffusion coefficients and local concentrations in a 2D array of pixels. In this thesis, I discuss the theoretical background, hardware setup, design and characterization of a SPIM which I have built in order to perform imaging FCS. / Thesis / Master of Science (MSc)

Microchimerism arises from the exchange of cells between genetically distinct individuals. The coexistence of genetically distinct cell populations within a single organism has possible effects on health and functioning of individuals immune systems, but the exact mechanisms of action are often not yet known. With the development of microscopic technologies and software for data analysis, the possibilities of detection and phenotyping of these rare cell populations are expanding. My intention in this work is to find maternal microchimerism in embryonic tissues (E13) and intestines of breastfed pups using MHCII/EGFP knock-in mouse model. Several different technologies potentially suitable for the detection of maternal microchimeric cells in offspring tissues (light sheet fluorescent microscopy - LSFM, virtual slide microscopy and flow cytometry) were selected. Advanced analysis of the obtained samples from the light sheet microscopy using the creation of a neural network was used here. The presence of maternal microchimerism was not demonstrated by flow cytometry. Using LSFM, image data were obtained from intestinal samples of suckling pups, which were processed by the neural network method. Data analysis of embryos (E13) obtained by the same method did not allow data analysis due to high...

Correct layering (lamination) of neurons in the central nervous system (CNS) is critical for the tissue functionality. Neuronal lamination is established during development, when the majority of neurons have to move from their birthplace to the appropriate layer, where they function. Therefore, to grasp the logic of CNS development, it is essential to understand the kinetics and modes of the variety of neuronal translocation events. Most of our knowledge about neuronal translocation has been gained using fixed tissue or ex vivo imaging, which is not ideal for such a dynamic process heavily dependent on the surrounding environment. To avoid these limitations, I combined translucent zebrafish embryos with light sheet fluorescence microscopy, which together enabled gentle in toto imaging of neuronal translocation. I studied the translocation of retinal ganglion cells (RGCs) across the developing zebrafish retina. RGCs are the first neurons that differentiate in the vertebrate retina and are born in a proliferative zone at the retinal apical side. From here, they move basally, spanning the complete apico-basal length of the tissue. They are destined to occupy the most basal layer, where their axons form the optic nerve. Although it was described that RGCs move their soma while being attached to both apical and basal sides of the retina, the kinetics and cell biological mechanisms of somal translocation remained unknown. Extracting single cell behavior of RGCs from high-resolution movies of their translocation allowed for quantitative analysis of RGC movement. I revealed that RGCs cross the retina in less than two hours in a directionally persistent manner. The movement of RGC soma is a cell autonomously generated process, which requires intact microtubules and actin-dependent basal attachment of cells for speed and efficiency. Unexpectedly, interference with somal translocation leads to a shift towards a multipolar migratory mode, previously not observed for RGCs, in which they temporarily lose both apical and basal attachment and apico-basal polarity. The multipolar mode is overall slower and less directionally persistent, but still allows RGCs to reach the basal retina. However, when RGC translocation is inhibited completely, they differentiate ectopically in the center of the retina, which in turn triggers the formation of ectopic layers of later born neurons. These results highlight the importance of establishing the basal layer of ganglion cells for ensuing retinal lamination. Overall, I generated important advances in the understanding of neuronal translocation and lamination, which might be relevant for other parts of the CNS.

In the past two decades, Fluorescence microscopy has imparted tremendous impact in Biology and Imaging. Several super-resolution Fluorescence imaging techniques (e.g. PALM, STED, STORM, 4Pi and structured illumination) have enabled diff raction-unlimited imaging. But high resolution is limited to a depth of few tens of microns. Thus, deep tissue imaging and simultaneous volume imaging have become a highly sought after feature in Fluorescence microscopy. The research work in this thesis address these issues by using spatial filtering techniques to tailor the point spread function (PSF) which uniquely characterizes the optical sys-tem. The advantage of this approach lies in the fact that intricate details about the focal region can be computed and designed with the help of well established theory and experimentation. In particular, this technique was applied to both spherical and cylindrical lenses. The former was used to generate Bessel-like, non-diffracting beams which demonstrated the ability to penetrate deep inside tissue-like media and thereby yielded an imaging depth of nearly 650μm as compared to about 200μm for a state-of-the-art confocal microscope. The latter gave rise to light-sheet and it's extended version that is ideal for planar imaging at large penetration depths. Another development is the generation of multiple light-sheet illumination pattern that can simultaneously illuminate several planes of the specimen. The proposed multiple light-sheet illumination microscopy (MLSIM) technique may enable volume imaging in Fluorescence microscopy. The first two chapters of this thesis are introductory in nature and provides a general overview of the principles of Fluorescence microscopy and three state-of-the-art Fluorescence imaging techniques; namely confocal, multi-photon and light-sheet based microscopy. Confocal microscopes are widely considered as a standard tool for biologists and this discussion shows that even though they have made signi ficant contributions in the fields of biophysics, biophotonics and nanoscale imaging, their inability to achieve better penetration depth has prevented their use in thick, scattering samples such as biological tissue. The system PSF of a confocal microscope broadens as it goes deeper in-side a scattering sample resulting in poor-resolution thereby destroying the very concept of high resolution, noise-free imaging. Additionally, confocal microscopy suffers from in-creased photo-bleaching due to o -layer (above and below the focal plane) excitation and low temporal resolution since it requires point-by-point scanning mechanism. On the other hand, multi-photon microscopy offers several advantages over confocal microscopy such as reduced photo-bleaching and inherent optical sectioning ability, however, it still lacks in providing high temporal resolution. Light-sheet based microscopy have gained popularity in recent years and promises to deliver high spatio-temporal resolution with minimized photo-bleaching. Recently, a considerable amount of research has been dedicated to further develop this promising technique for a variety of applications. The ability to look deeper inside a biological specimen has profound implications. How-ever, at depths of hundreds of microns, several effects (such as scattering, PSF distortion and noise) deteriorates the image quality and prohibits detailed study of key biological phenomenon. Chapter 3 of this thesis describes the original research work which experimentally addresses to this issue. Here, Bessel-like beam is employed in conjugation with an orthogonal detection scheme to achieve imaging at large penetration depth. Bessel beams are penetrative, non-di ffracting and have self-reconstruction properties making them a natural choice for imaging scattering prone specimens which are otherwise inaccessible by other microscopy imaging techniques such as, Widefield, CLSM, 4PI, Structural illumination microscopy and others. In this case such a Bessel-like beam is generated by masking the back-aperture of the excitation objective with a ring-like spatial filter. The proposed excitation scheme allow continuous scanning by simply translating the detection optics. Additionally, only a pencil-like region of the specimen can be illuminated at a given instance thereby reducing premature photobleaching of neighboring regions. This illumination scheme coupled with orthogonal detection shows the ability of selective imaging from a desired plane deep inside the specimen. In such a configuration, the lateral resolution of the illumination arm determines the axial resolution of the overall imaging system. Such an imaging system is a boon for obtaining depth information from any desired specimen layer that includes nano-particle tracking in thick tissue. Experiments performed by imaging the Fluorescent polymer tagged-CaCO3 particles and yeast cell in a tissue-like gel-matrix demonstrates penetration depth that extends up to 650 m. This will advance the field of fluorescence imaging microscopy and imaging. Similar to the ability to observe deep inside a sample, simultaneous 3D monitoring of whole specimens play a vital role in understanding many developmental process in Biology. At present, light-sheet based microscopy is the prime candidate amongst the various microscopy techniques, that is capable of providing high signal-to-background-ratio as far as planar imaging is concerned. Since spatial filtering technique was found to successfully give rise to novel features (such as large penetration depth) in a fluorescence microscope setup, a logical extension would be to implement a similar approach with a light-sheet based microscope setup. These implementations are discussed in Chapter 4 of this thesis where spatial filtering is employed with cylindrical lenses. For facilitating computational and experimental studies, a vectorial formalism was derived to give an explicit computable integral solution of the electric field generated at the focal region of a cylindrical lens. This representation is based on vectorial diffraction theory and further enables the computation of the point spread function of a cylindrical lens. Commonly used assumptions are made in the derivation such as no back-scattering and negligible contribution from evanescent fields. Stationary phase approximation along with the Fresnel transmission coefficients are employed for evaluating the polarization dependent electric field components. Computational studies were carried out to determine the polarization effects and calculate the system resolution. Experimental comparison of light-sheet intensity pro les show good agreement with the theoretical calculations and hence validate the model. This formalism was derived as a first step since it gives the essential understanding of tightly focused E-fields of a high N.A. cylindrical lens systems and thereby helps in further understanding the effect of spatial filtering. As the next step, generation of extended light-sheet for fluorescence microscopy is pro-posed by introducing a specially designed double-window spatial filter at the back-aperture of a cylindrical lens. The filter allows the light to pass through the periphery and center of a cylindrical lens. When illuminated with a plane wave, the proposed filter results in an extended depth-of-focus along with side-lobes which are due to other interferences in the transverse focal plane. Computational studies show a maximum extension of light-sheet by 3:38 times for single photon excitation, and 3:68 times for multi-photon excitation as compared to state-of-art single plane illumination microscopy (SPIM) system and essentially implies a larger field of view. Finally, generation of multiple light-sheet pattern is proposed and demonstrated using a different spatial filter placed at the back aperture of a cylindrical lens. A complete imaging setup consisting of multiple light-sheets for illumination and an orthogonal detection arm, is implemented for volume imaging in fluorescence microscopy. This proposed scheme is a single shot technique that enables whole volume imaging by simultaneously exciting multiple specimen layers. Experimental results confirm the generation of multiple light-sheets of thickness 6:6 m with an inter-sheet spacing of 13:4 m. Imaging of 3 5 m sized fluorescently coated Yeast cells (encaged in Agarose gel-matrix) is per-formed and conclusively demonstrates the usefulness and potential of multiple light-sheet illumination microscopy (MLSIM) for volume imaging. As part of the future scope of the research work presented in this thesis, the Bessel-beam based improved depth microscopy technique may attract applications in particle tracking deep inside tissues and optical injection apart from fluorescence imaging applications. The vectorial formalism derived for cylindrical lens can be used to predict other, complex optical setups involving cylindrical lenses. Extended light-sheet generation proposed in this work by using appropriate spatial filtering with a cylindrical lens, complements the existing and popular selective plane illumination microscopy technique and may facilitate the study of large biological specimens (such as, full-grown Zebra sh and tissue) with high spatial resolution and reduced photobleaching. Finally, the MLSIM technique presented in this thesis may accelerate the field of developmental biology, cell biology, fluorescence imaging and 3D optical data storage.