Computational structured illumination for high-content fluorescent and phase microscopy
arXiv:1901.00417 · doi:10.1364/BOE.10.001978
Abstract
High-content biological microscopy targets high-resolution imaging across large fields-of-view (FOVs). Recent works have demonstrated that computational imaging can provide efficient solutions for high-content microscopy. Here, we use speckle structured illumination microscopy (SIM) as a robust and cost-effective solution for high-content fluorescence microscopy with simultaneous high-content quantitative phase (QP). This multi-modal compatibility is essential for studies requiring cross-correlative biological analysis. Our method uses laterally-translated Scotch tape to generate high-resolution speckle illumination patterns across a large FOV. Custom optimization algorithms then jointly reconstruct the sample's super-resolution fluorescent (incoherent) and QP (coherent) distributions, while digitally correcting for system imperfections such as unknown speckle illumination patterns, system aberrations and pattern translations. Beyond previous linear SIM works, we achieve resolution gains of 4x the objective's diffraction-limited native resolution, resulting in 700 nm fluorescence and 1.2 um QP resolution, across a FOV of 2x2.7 mm^2, giving a space-bandwidth product (SBP) of 60 megapixels.
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Cited by in corpus (4)
- Super-resolution structured illumination microscopy: past, present and future
- Dynamic Structured Illumination Microscopy with a Neural Space-time Model
- Translation-based structured illumination microscopy via generalized Richardson-Lucy method
- Sample Motion for Structured Illumination Fluorescence Microscopy