MAI-SIM: interferometric multicolor structured illumination microscopy for everybody
Edward N. Ward, Lisa Hecker, Charles N. Christensen, Jacob R Lamb,, Meng Lu, Luca Mascheroni, Chyi Wei Chung, Anna Wang, Christopher J. Rowlands,, Gabriele S. Kaminski Schierle, Clemens F. Kaminski

TL;DR
MAI-SIM is an accessible, high-speed, multicolor structured illumination microscopy technique that combines interferometric pattern generation with machine learning for real-time super-resolution imaging of live biological samples.
Contribution
The paper introduces a robust, flexible interferometric SIM system with a simple, wavelength-independent pattern generation, coupled with a machine learning toolbox for real-time, multicolor super-resolution image reconstruction.
Findings
Capable of real-time super-resolution imaging in multiple colors
Demonstrated on live biological samples with large fields of view
Provides instant visualization of super-resolved images
Abstract
Sub-diffraction resolution, gentle sample illumination, and the possibility to image in multiple colors make Structured Illumination Microscopy (SIM) an imaging technique which is particularly well suited for live cell observations. Here, we present Machine learning Assisted Interferometric-SIM (MAI-SIM), an easy-to-implement method for high speed SIM imaging in multiple colors. The instrument is based on an interferometer design in which illumination patterns are generated, rotated, and stepped in phase through movement of a single galvanometric mirror element. The design is robust, flexible, and the pattern generation process works for all wavelengths. We complement the unique properties of interferometric SIM with a machine learning toolbox that is simple and efficient to use and is superior to existing methods for the reconstruction of super-resolved images recorded by the…
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Taxonomy
TopicsAdvanced Fluorescence Microscopy Techniques · Cell Image Analysis Techniques · Photoacoustic and Ultrasonic Imaging
