Tomographic single pixel spatial frequency projection imaging

Conventional methods for three-dimensional (3D) imaging frequently rely on voxel-by-voxel data acquisition, which restricts the range of specimens in they can be effectively employed. While advances technology now permit routine acquisition 3D images approaching video rates, there are other limitations to image formation fluorescent microscopy that prohibit studies large volume samples, highly scattering media, and dynamic environments. Some approaches collection circumvent this need by use tomographic imaging, where sub-3D projections collected at varying illumination angles reconstructed through an inversion algorithm compute estimate fluorophore distribution. Many such spatially coherent light, thus light. By employing unique spatio-temporally patterns conjunction with computational reconstruction, we show some laser scanning wide-field overcome. We outline several utilize patterned collect data. All three dimensional optical exploits projection desired information into a lower-dimensional subspace, then full object is estimated from these discuss number single pixel strategies project onto zero-dimensional, usually power, measurement. Further, reconstruction enhance estimates forward model process. • Super resolution superior quality. Tomographic enables high quality super imaging. Analytic inverse operators tomography .