Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation

International audienceTotal internal reflection fluorescence microscopy (TIRF) produces 2D images of the fluorescent activity integrated over a very thin layer adjacent to the glass coverslip. By varying the illumination angle (multi-angle TIRF), a stack of 2D images is acquired from which it is possible to estimate the axial position of the observed biological structures. Due to its unique optical sectioning capability, this technique is ideal to observe and study biological processes at the vicinity of the cell membrane. In this paper, we propose an efficient reconstruction algorithm for multi-angle TIRF microscopy which accounts for both the PSF of the acquisition system (diffraction) and the background signal (e.g., autofluorescence). It jointly performs volume reconstruction, deconvolution, and background estimation. This algorithm, based on the simultaneous-direction method of mul-tipliers (SDMM), relies on a suitable splitting of the optimization problem which allows to obtain closed form solutions at each step of the algorithm. Finally, numerical experiments reveal the importance of considering the background signal into the reconstruction process, which reinforces the relevance of the proposed approach

A 3D model with shape prior information for biological structures reconstruction using Multiple-Angle Total Internal Reflection Fluorescence Microscopy

International audienceWe propose a new model for the reconstruction of biological struc- tures using Multiple-Angle Total Internal Reflection Fluorescence Microscopy (MA-TIRFM). This recent microscopy technique allows the visualization of sub-cellular structures around the plasma mem- brane which is of fundamental importance in the comprehension of exchanges mechanisms of the cell. We present a 3D reconstruction method based on a shape prior information on the observed struc- tures and robust to shot noise and background fluorescence. A nov- elty with respect to the state of the art is to propose a method allow- ing the recovery of multiple objects aligned along the axial axis. The optimization problem can be formulated as a minimization problem where both the number of objects in the model and their parame- ters have to be estimated. This difficult combinatorial optimization problem is tackled by using a Marked Point Process approach which allows modelling interactions between the objects in order to regu- larize the inverse problem. Finally, performances of the proposed method are evaluated on synthetic data and real data

Waveguide platform and methods for super-resolution fluorescence microscopy of sub-cellular structures

Super-resolution fluorescence microscopy is widespread, owing to its demonstrated ability to resolve dynamical processes within cells and to identify the structure and position of specific proteins in the interior of protein complexes. Nowadays, subcellular features can be routinely resolved at the nanoscopic scale thanks to the accessibility of straightforward sample-preparation protocols, simple hardware tools, and open source software. Building on its ability to investigate large-scale macromolecules networks in their natural environment with high resolution, fluorescence microscopy is further evolving by the development of quantitative and high-throughput methods to characterize such networks. Previous implementations of high-throughput microscopy made use of imaging sequentially smaller fields of view (FOV), which makes axial alignment a challenge and extends the imaging time. In our work, we circumvent these problems with our large FOV systems, which are based on flat-field sample illumination over large areas, combined with a CMOS-camera. In this thesis, I present a waveguide platform designed to image a wide area with low background by mean of total internal reflection fluorescence (TIRF) excitation. The waveguide chips for this platform were fabricated at the center of micro-nano technology (CMi) at EPFL, in collaboration with the group of Aleksandra Radenovic (specifically with Evgenii Glushkov). The resulting waveguide-TIRF system is specifically optimized for applications where easy and repetitive buffer exchange is needed. To achieve large and uniform TIRF excitation, I studied some fundamental parameters of the waveguide, developing specific code to simulate, at the first order, its behavior. I then extended light propagation solutions adopted in the field of integrated photonics to our waveguide chip fabrication process. To easily integrate the chip within the commercial stage of an upright microscope, I designed a novel chip holder that ensures aqueous solution sealing, mitigates the presence of scatter light in the imaging area, and facilitates the waveguide alignment during the input beam-coupling phase. On the analysis side, the need for computational tools that are specific to fluorescence microscopy is continuously growing, due to the fact that this technique heavily relies on the treatment of large quantities of data. The automated analysis of images is a fundamental step of the measurement process, necessary for unbiased quantification and statistical validation, especially where repetitive visual inspection would be impractically long. This is particularly critical for single molecule localization microscopy (SMLM), where the quality of the reconstructed super-resolved image actually is a trade-off between the algorithm localization precision and its speed, a key element considering the need of processing tens of thousands of large images to generate the final, super-resolved one. In this work, I present a series of computational tools for CMOS camera characterization developed for large flat-field STORM microscopy, a 3D SMLM reconstruction software specific for Double-Helix (DH) point spread function (PSF) and a set of cell shape analysis tools to study C.Crescentus shape dynamics

Probing Cellular Uptake of Nanoparticles, One at a Time

Advanced fluorescence microscopy is the method of choice to study cellular uptake of nanoparticles with molecular specificity and nanoscale resolution; yet, direct visualization of nanoparticles entry into cells poses severe technical challenges. Here, we have combined super-resolution photoactivation localization microscopy (PALM) with single particle tracking (SPT) to visualize clathrin-mediated endocytosis (CME) of polystyrene nanoparticles at very high spatial and temporal resolution

Image Analysis and Platform Development for Automated Phenotyping in Cytomics

This thesis is dedicated to the empirical study of image analysis in HT/HC screen study. Often a HT/HC screening produces extensive amounts that cannot be manually analyzed. Thus, an automated image analysis solution is prior to an objective understanding of the raw image data. Compared to general application domain, the efficiency of HT/HC image analysis is highly subjected to image quantity and quality. Accordingly, this thesis will address two major procedures, namely image segmentation and object tracking, in the image analysis step of HT/HC screen study. Moreover, this thesis focuses on expending generic computer science and machine learning theorems into the design of dedicated algorithms for HT/HC image analysis. Additionally, this thesis exemplifies a practical implementation of image analysis and data analysis workflow via empirical case studies with different image modalities and experiment settings. However, the data analysis theorem will be generally illustrated without further expansions. Finally, the thesis will briefly address supplementary infrastructures for end-user interaction and data visualization.Netherlands Bioinformatics CentreComputer Systems, Imagery and Medi

Super-resolution mapping of receptor engagement during HIV entry

The plasma membrane (PM) serves as a major interface between the cell and extracellular stimuli. Studies indicate that the spatial organisation and dynamics of receptors correlate with the regulation of cellular responses. However, the nanoscale spatial organisation of specific receptor molecules on the surface of cells is not well understood primarily because these spatial events are beyond the resolving power of available tools. With the development in super-resolution microscopy and quantitative analysis approaches, it optimally poises me to address some of these questions. The human immunodeficiency virus type-1 (HIV-1) entry process is an ideal model for studying the functional correlation of the spatial organisation of receptors. The molecular interactions between HIV envelope glycoprotein (Env) and key receptors, CD4 and co-receptor CCR5/CXCR4, on the PM of target cells have been well characterised. However, the spatial organisation that receptors undergo upon HIV-1 binding remains unclear. In this project, I established a Single Molecule Localisation Microscopy (SMLM) based visualisation and quantitative analysis pipeline to characterise CD4 membrane organisation in CD4+ T cells, the main host cell target for HIV-1 infection. I found that prior to HIV engagement, CD4 and CCR5 molecules are organised in small distinct clusters across the PM. Upon HIV-1 engagement, I observed dynamic congregation and subsequent dispersal of virus-associated CD4 clusters within 10min. I further incorporated statistical modelling to show that this reorganisation is not random. This thesis provides one of the first nanoscale imaging and quantitative pipelines for visualising and quantifying membrane receptors. I showed that this quantitative approach provides a robust methodology for understanding the recruitment of HIV-1 receptors before the formation of a fusion pore. This methodology can be applied to the analyses of the nanoscale organisation of PM receptors to link the spatial organisation to function

Light-sheet microscopy: a tutorial

This paper is intended to give a comprehensive review of light-sheet (LS) microscopy from an optics perspective. As such, emphasis is placed on the advantages that LS microscope configurations present, given the degree of freedom gained by uncoupling the excitation and detection arms. The new imaging properties are first highlighted in terms of optical parameters and how these have enabled several biomedical applications. Then, the basics are presented for understanding how a LS microscope works. This is followed by a presentation of a tutorial for LS microscope designs, each working at different resolutions and for different applications. Then, based on a numerical Fourier analysis and given the multiple possibilities for generating the LS in the microscope (using Gaussian, Bessel, and Airy beams in the linear and nonlinear regimes), a systematic comparison of their optical performance is presented. Finally, based on advances in optics and photonics, the novel optical implementations possible in a LS microscope are highlighted.Peer ReviewedPostprint (published version