bioRxivBiophysics
Super-resolved polarisation-enhanced second harmonic generation for direct imaging of nanoscale changes in collagen architecture
P. B. Johnson, A. Karvounis, J. Singh, C. J. Brereton, K. Bourdakos, K. Lunn, J. J. Roberts, D. E. Davies, O. L. Muskens, M. G. Jones, S. Mahajan
Abstract
Super-resolution (SR) optical microscopy has allowed the investigation of many biological structures below the diffraction limit, however, most of the techniques are hampered by the need for fluorescent labels. Non-linear label-free techniques such as Second Harmonic Generation (SHG) provide structurally specific contrast without the addition of exogenous labels, allowing observation of unperturbed biological systems. Here we achieve super-resolution SHG (SR-SHG) for the first time. We use the photonic nanojet (PNJ) phenomena to achieve a resolution of ~{lambda}/6 with respect to the fundamental wavelength, a ~2.7-fold improvement over diffraction-limited SHG under the same imaging conditions. Crucially we find that the polarisation properties of excitation are maintained in a PNJ allowing the resolution to be further enhanced by detection of polarisation-resolved SHG (p-SHG) by observing anisotropy in signals. These new findings allowed us to visualise biological SHG-active structures such as collagen at an unprecedented and previously unresolvable spatial scale. Moreover, we demonstrate that the use of an array of self-assembled high-index spheres overcomes the issue of a limited field of view for such a method, allowing PNJ-assisted SR-SHG to be used over a large area. Dysregulation of collagen at the nanoscale occurs in many diseases and is an underlying cause in diseases such as lung fibrosis. Here we are able to demonstrate that pSR-SHG allows unprecedented observation of changes at the nanoscale that are invisible by conventional diffraction-limited SHG imaging. The ability to non-destructively image SHG-active biological structures without labels at the nanoscale with a relatively simple optical method heralds the promise of a new tool to understand biological phenomena and drive drug discovery.
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