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Biology subjects

Foylan, S.

Publications and source records attributed to Foylan, S..

4 recordsLinked to original sources

Obtaining super-resolved images at the mesoscale through Super-Resolution Radial Fluctuations

Super-resolution microscopy overcomes the diffraction limit of light to achieve higher spatial resolutions than are typically available when using light microscopy techniques. However, these methods are usually restricted to imaging a very small field of view (FOV). Here, we have applied one of these super-resolution techniques, Super-Resolution Radial Fluctuations (SRRF) in conjunction with the Mesolens, which has the unusual combination of a low-magnification and high numerical aperture, to obtain super-resolved images over a FOV of 4.4 mm x 3.0 mm. We assessed the accuracy of these SRRF images through error maps calculated using a secondary analysis method, Super-resolution Quantitative Image Rating and Reporting of Error Locations (SQUIRREL). We demonstrate it is possible to achieve images with a resolution of 446.3 {+/-} 10.9 nm, providing a [~]1.6-fold improvement in spatial resolution over a uniquely large field, with consistent structural agreement between raw data and SRRF processed images. MotivationCurrent super-resolution imaging techniques allow for a greater understanding of cellular structures however they are often complex or only have the ability to image a few cells at once. This small field of view may not represent the behaviour across the entire sample and the manual selection of which restricted ROI to use may introduce bias. Currently, this is often circumvented by stitching and tiling methods which stitch many small ROI together, however this can result in artefacts across an image which poses an issue when analysing data. To combat this, we have used the Mesolens alongside Super-Resolution Radial Fluctuations analysis, to obtain super-resolved images over a field of view of 4.4 mm x 3.0 mm with minimal error.

biophysics↗

Printing, Characterising, and Assessing Transparent 3D Printed Lenses for Optical Imaging

High-quality lens production has involved subtractive manufacturing methods for centuries. These methods demand specialist equipment and expertise that often render custom high-grade glass optics inaccessible. We aimed to develop a low-cost, accessible, and reproducible method to manufacture high-quality three-dimensional (3D) printed lenses using consumer-grade technology. Various planoconvex lenses were produced using a consumer-grade 3D printer and low-cost spin coating setup, and printed lenses were compared to commercial glass counterparts. A range of mechanical and optical methods are introduced to determine the surface quality and curvature of 3D printed lenses. Amongst others, high-resolution interference reflection microscopy methods were used to reconstruct the convex surface of printed lenses and quantify their radius of curvature. The optical throughput and performance of 3D printed lenses were assessed using optical transmissivity measurements and classical beam characterisation methods. We determined that 3D printed lenses had comparable curvature and performance to commercial glass lenses. Finally, we demonstrated the application of 3D printed lenses for brightfield transmission microscopy, resolving sub-cellular structures over a 2.3 mm field-of-view. The high reproducibility and comparable performance of 3D printed lenses present great opportunities for additive manufacturing of bespoke optics for low-cost rapid prototyping and improved accessibility to high-quality optics in low-resource settings.

biophysics↗

Standing wave mesoscopy

Standing wave (SW) microscopy is a method that uses an interference pattern to excite fluorescence from labelled cellular structures and produces high-resolution images of three-dimensional objects in a two-dimensional dataset. SW microscopy is performed with high magnification, high numerical aperture objective lenses, and while this results in high resolution images, the field of view is very small. Here we report upscaling of this interference imaging method from the microscale to the mesoscale using the Mesolens, which has the unusual combination of a low magnification and high numerical aperture. With this method, we produce SW images within a field of view of 4.4 mm x 3.0 mm that can readily accommodate over 16,000 cells in a single dataset. We demonstrate the method using both single-wavelength excitation and the multi-wavelength SW method TartanSW. We show application of the method for imaging of fixed and living cells specimens, with the first application of SW imaging to study cells under flow conditions.

cell biology↗

MesoTIRF: a Total Internal Reflection Fluorescence illuminator for axial super-resolution membrane imaging at the mesoscale

Total Internal Reflection Fluorescence (TIRF) illumination bypasses the axial diffraction limit of light by using an evanescent field to excite fluorophores close to a sample substrate. TIRF illumination significantly improves image contrast, allowing researchers to study membrane structure and dynamics with localized reductions in photobleaching. However, a significant limitation of most TIRF microscopes is the relatively small field of view (FOV). TIRF objectives require a high numerical aperture (NA) to generate the evanescent wave. Such lenses invariably have a high magnification and result in a [~] 50 {micro}m diameter imaging field, requiring many subsequent images for accurate statistical analysis. Waveguide and prism-based TIRF systems are, in principle, compatible with lower magnification lenses to widen the FOV but these have a correspondingly low NA and lateral resolution. To overcome these limitations, we present a prism-based TIRF illuminator for the Mesolens - a specialist objective lens with the unusual combination of low magnification and high NA. This new imaging mode - MesoTIRF - enables TIRF imaging across a 4.4 mm x 3.0 mm FOV. We demonstrate evanescent wave illumination of cell specimens, and show the multi-wavelength capability of the modality across more than 700 cells in a single image. MesoTIRF images have up to a 6-fold improvement in signal-to-background ratio compared to widefield epi-fluorescence illumination, and we illustrate the benefit of this improved contrast for the detection and quantification of focal adhesions in fixed cells. Fluorescence intensities and resolvable structural detail do not vary considerably in homogeneity across the MesoTIRF FOV.

biophysics↗