Nanoscopy in nonlinear scanning fluorescence imaging systems

In the last 30 years, superresolution in optical microscopy has been a major field of research. During this time, different techniques have been created to break the diffraction limit in order to make observations at a nanometric scale. Given that optical microscopy is non-invasive, those superresolution methods pave the way for a better understanding of biological mechanism at a molecular level. Most of those methods are based on a nonlinear interaction between the excitation light intensity and the sample response (often fluorescent signal). In the same time, nanodiamonds containing fluorescent defects have been proven to be a choice probe for superresolution nanos-copy since they exhibit a strong and stable fluorescent signal even under high light intensities exposure (often required to obtain nonlinear photoresponse). Nanodiamonds containing Nitrogen Vacancy (NV) defects that exhibit a red fluorescent signal had been previously shown to be a viable biomarker for STED superresolved image. First, we demonstrated that green fluorescent nanodia-monds containing Nitrogen-Vacancy-Nitrogen (NVN) defects can be used with a Stimulated Emission Depletion (STED) superreso-lution microscope. Then, we implemented a STED microscope in our lab and compared the properties of NVN and NV centers for STED imaging. We conclude that even if nanodiamonds with NVN defects are less intense, they can be used as a second color nonbleaching biomarker. To illustrate the potential use of green nanodiamonds as bio-compatible probe, we superresolved them internalized into a cell with STED microscopy. Second, we tried to work on one of the main limitation in STED nanoscopy: the lack of information in the axial direction within a single scan. We combined our home made STED microscope with a Double Helix phase mask that modifies the detection point spread function in order to obtain axial localization of the superresolved emitters. We achieved three dimensional localization of nanometric fluorescent emitters but we note that photobleaching was the main limitation of this approach with organic dyes. We discussed different solutions to limit the photobleaching and their feasibility. We also worked on a different superresolution technique that we named Computational Nonlinear Saturated (CNS) microscopy. We showed that with digital post treatment of the acquired data, a nonlinear photoresponse can be harnessed to any scanning microscope equipped with a camera detector to enhance the resolution. We demonstrated that increasing the excitation power and inducing fluorescence saturation, it is possible to break the diffraction limit in a conventional confocal microscope (after data post-treatment). However, with this method, we did not obtain a gain in resolution as high as with other superresolution tech-niques involving fluorescence saturation, such as saturated structured illumination microscopy. To understand the origin of this limitation, we carried out simulation to investigate the performance of CNS microscopy in noisy environments compared with wide field techniques. We propose alternative implementation and quantify the possible resolution gain with simulations. Finally, we demonstrated how a technique, initially created for optical microscopy, can be adapted to lensless endoscopic imaging...

Imaging tissues and cells beyond the diffraction limit with structured illumination microscopy and Bayesian image reconstruction

Tomas Lukes, Jakub Pospisil

Background: Structured illumination microscopy (SIM) is a family of methods in optical fluorescence microscopy that can achieve both optical sectioning and super-resolution effects. SIM is a valuable method for high-resolution imaging of fixed cells or tissues labeled with conventional fluorophores, as well as for imaging the dynamics of live cells expressing fluorescent protein constructs. In SIM, one acquires a set of images with shifting illumination patterns. This set of images is subsequently treated with image analysis algorithms to produce an image with reduced out-of-focus light (optical sectioning) and/or with improved resolution (super-resolution). Findings: Five complete, freely available SIM datasets are presented including raw and analyzed data. We report methods for image acquisition and analysis using open-source software along with examples of the resulting images when processed with different methods. We processed the data using established optical sectioning SIM and super-resolution SIM methods and with newer Bayesian restoration approaches that we are developing. Conclusions: Various methods for SIM data acquisition and processing are actively being developed, but complete raw data from SIM experiments are not typically published. Publically available, high-quality raw data with examples of processed results will aid researchers when developing new methods in SIM. Biologists will also find interest in the high-resolution images of animal tissues and cells we acquired. All of the data were processed with SIMToolbox, an open-source and freely available software solution for SIM.

Oxford University Press (OUP)2019

Dielectric-sphere-based microsystem for optical super-resolution imaging

Gergely Huszka

Well-established imaging techniques proved that features below the diffraction limit can be observed optically using so-called super-resolution microscopies, which overcome Abbe's resolution limit. In traditional far-field microscopy, the introduction of fluorescent samples and engineered light paths was key for this breakthrough. In parallel, near-field techniques with similar performance were developed, but they suffered from a limited field-of-view. The merge of the two approaches was already demonstrated ~15 years ago, when micrometer-sized dielectric objects positioned on a sample were found to be able to image the sample with super-resolution. By observing the sample through the micro-object with a classical optical microscope, the latter could capture a virtual image showing sub-diffraction details. Although this way the near-field information transfer into the far-field by the micro-object was proven and found to be key for enabling super-resolution imaging, the limited field-of-view, as determined by the size of the micro-object, remained an issue. In this dissertation, a novel method is presented that provides a microscopy technique capable of achieving super-resolution without field-of-view restrictions. Based on previous studies, dielectric microspheres were chosen for this imaging technique. First, the working principle of these microspheres was explored by investigating both the illumination and the reflected light path. These findings provided a better understanding on the phenomena working behind microsphere-assisted imaging and allowed to create an engineering toolbox that can be used to design microsphere-based optical systems. This was followed by an investigation on microfabrication techniques, in order to create a microchip that can serve as a bridge between a single microsphere and the macro-sized-components of a classical optical microscope. The resulting chip was later embedded in a custom fixation system that allowed scanning of this microsphere over the sample, while keeping its position fixed compared to the microscope objective. The microscope mounted camera recorded pictures during the scan, which were used to generate a large field-of-view super-resolution image by stitching. After initial successes, the setup was improved in terms of robustness and application range. The new version allowed field-of-view in the millimeter range, while it could be operated in both oil- and water-immersion. Parallel imaging with an array of microspheres was also implemented, which further enhanced the imaging speed. The algorithmic background (including an automated scanning and image reconstruction protocol) of this microscopy method was developed in-house. Its validation showed superior performance compared to existing software. Future developments (e.g. employment of 3D-printing for mass-production, imaging in vivo biological samples, metrology applications) are envisioned. The findings presented here may pave the road for an easy-to-use, generalized super-resolution imaging system.

EPFL2018

Time-lapse high-resolution microscopy to study the morphogenesis of microorganisms

Mélanie Thérèse Marie Hannebelle

Mycobacterium tuberculosis, the etiological agent for the tuberculosis disease, is a bacterial pathogen thought to infect about a quarter of the global human population. It is the first cause of death among infectious diseases, and is most prevalent in low-income populations. Much remains unknown about how these bacteria grow, divide, and manage to persist in the host even during month-long antibiotic treatments. Bacteria are typically at the edge of the spatial resolution that conventional optical microscopy techniques can offer, and so new tools are required to study bacterial substructures or surface morphologies with nanometer resolution. We developed a platform for automated optical microscopy and atomic force microscopy (AFM) in order to study the morphogenesis of mycobacteria. What is the growth dynamics of mycobacteria? Opposite models coexist in the literature for the pole growth dynamics of mycobacteria: the unipolar model and the bipolar model. We show that the growth dynamics of mycobacteria follows a new end take off NETO model. There is a surprising similarity between the NETO growth dynamics of mycobacteria and of fission yeast, which hints at shared mechanisms for pole growth in evolutionarily distant pole growing organisms. How do pole-growing organisms maintain their shape through insertion of new cell wall material at the tip? To explore further pole growth morphogenesis, we developed a method for imaging with AFM the pole of a growing rod-shaped microorganism. We observed the formation of a stiff fibril mesh on the pole of fission yeast cells, and showed that this mesh is stretched as the cell grows and insert new cell wall material at the tip. How do mycobacteria divide into two sibling cells? Another essential aspect of morphogenesis of rod-shaped cell is the division of a mother cell into two sibling cells. Using AFM, we measured the relative contributions of mechanical forces and molecular mechanisms driving the division process in mycobacteria. We showed that there is a concentration of mechanical stress at the future division site, using a combination of COMSOL finite element modeling and AFM measurements while controlling the cell turgor pressure. The accumulation of mechanical stress, in combination of enzymatic activity, ultimately leads to mechanical fracture and separation of the sibling bacteria. Conventional optical microscopy techniques tend to have low resolution and high speed, while conventional AFMs have comparatively high resolution and low speed. We designed and built a 3D-printed structured illumination (SIM) module, the openSIM, as an add-on for fluorescence microscopes. It provides structured illumination to obtain SIM images with higher resolution. With the aim of improving the imaging speed of AFM, we implemented photothermal actuation in a tip-scanning AFM head, and quantified the design constraints for high-speed photothermal off-resonance tapping imaging. AFM is most often used to scan and acquire high-resolution images of a sample. Its nanometer precision make it a unique tool for other applications. We combined an AFM head with a volcano-shaped probe for electrogram measurements, and demonstrated simultaneous recording of extracellular field potentials and contraction of the cell. This new tool opens the way for future studies exploring the intriguing links between mechanobiology and electrophysiology, with single-cell resolution.