Adaptive optimisation of illumination beam profiles in fluorescence microscopy

T. J. Mitchell, C. D. Saunter, W. O'Nions, J. M. Girkin, G. D. Love, Thomas G. Bifano, Joel Kubby, Sylvain Gigan
2015 Adaptive Optics and Wavefront Control for Biological Systems  
Wide-field fluorescence microscope techniques such as single/selective plane illumination microscope (SPIM) are typically configured to image large regions of a sample at once. Here the illumination beam provides uniform excitation of several biological features across the region, 'sliced' to a thickness of between 5 -10 microns. In this paper we propose a simple alteration to the optical configuration of a SPIM by switching the light-sheetforming cylindrical lens with a spatial light
more » ... This has the potential to adaptively reconfigure the light sheet geometry to improve the optical sectioning of specific biological features, rather than the thicker sectioning of several features at once across a larger observation field-of-view. We present a prototype version of such a system, referred to as an Adaptive-SPIM (A-SPIM) system. We then suggest that the direct recording of illumination beam shapes within the working microscope system can better facilitate the analysis and subsequent re-configuration of the illumination beam to a specific geometry, and summarise the design and operation of a device that we have developed specifically for this purpose. We finally present reconstructed quantitative three dimensional flux maps of illumination beams from three microscope configurations taken using this miniature high-dynamic range beam profiling device, comparing the beam geometry of a regular SPIM system with our prototype A-SPIM system, and suggesting future improvements. Downloaded From: http://proceedings.spiedigitallibrary.org/ on 05/18/2015 Terms of Use: http://spiedl.org/terms Proc. of SPIE Vol. 9335 93350B-4 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 05/18/2015 Terms of Use: http://spiedl.org/terms
doi:10.1117/12.2080310 fatcat:kdh3mwspjvarzbpozos2vuob7u