Multi-target 3D single-molecule super resolution imaging throughout mammalian cells with a single-objective tilted light sheet.

Abstract

Single-molecule based super-resolution fluorescence microscopy offers an approach to sub-diffraction-limited imaging of biological samples. While these approaches have proved significant to understanding subcellular structures, numerous super-resolution systems suffer from drawbacks such as decreased localization precision due to high background fluorescence, lack of control of the extracellular environment, decreased multi-target accuracy due to chromatic offsets in multicolor imaging, and the inability to image structures in three dimensions (3D). Light sheet fluorescence microscopy, which involves illuminating the sample with a thin sheet of light, offers a gentle illumination scheme that greatly reduces photobleaching, photodamage, and out of focus background fluorescence, thereby improving the localization precision. Here, we present a single-objective tilted light sheet super-resolution setup with five added innovations: (i) a microfluidic chip with reflective sidewalls and transparent top, (ii) sequential DNA Point Accumulation for Imaging in Nanoscale Topography (DNA-PAINT) known as Exchange-PAINT, (iii) deep learning for high density single emitter localization, (iv) double helix point spread functions for 3D imaging, and (iv) galvanometric dithering of the illumination beam to reduce scattering artifacts and provide homogenous sample illumination. By utilizing light sheet illumination in conjunction with Exchange-PAINT and deep learning, this setup allows for the use of high concentrations of imager strands given that background fluorescence is drastically reduced and sparse emitters are no longer necessary for accurate localization. Furthermore, sequential washes of imager strands are enabled through the use of microfluidics, which allows for accurate, multi-target reconstructions that are not subject to chromatic offsets. Thus, we demonstrate a setup that offers improved localization precision, extracellular environment control, multi-target information, and 3D imaging that can easily be implemented for fast, accurate, and precise multi-target super-resolution whole cell imaging.