Abstract
High-content biological microscopy targets high-resolution imaging across large fields-of-view, often achieved by computational imaging approaches. Previously, we demonstrated 2D multimodal high-content microscopy via structured illumination microscopy (SIM) with resolution >2×>2×<math><mrow><mo>></mo> <mn>2</mn> <mo>×</mo></mrow> </math> the diffraction limit, using speckle illumination from Scotch tape. In this work, we extend the method to 3D by leveraging the fact that the speckle illumination is in fact a 3D structured pattern. We use both a coherent and an incoherent imaging model to develop algorithms for joint retrieval of the 3D super-resolved fluorescent and complex-field distributions of the sample. Our reconstructed images resolve features beyond the physical diffraction-limit set by the system's objective and demonstrate 3D multimodal imaging with ∼0.6×0.6×6μ∼0.6×0.6×6μ<math><mrow><mo>∼</mo> <mn>0.6</mn> <mo>×</mo> <mn>0.6</mn> <mo>×</mo> <mn>6</mn> <mtext> </mtext> <mi>μ</mi></mrow> </math> m3 resolution over a volume of ∼314×500×24μ∼314×500×24μ<math><mrow><mo>∼</mo> <mn>314</mn> <mo>×</mo> <mn>500</mn> <mo>×</mo> <mn>24</mn> <mtext> </mtext> <mi>μ</mi></mrow> </math> m3.
