Paper
21 August 2023 Multiscale resolution in structured illumination microscopy
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Abstract
Structured illumination microscopy (SIM) is a most popular super-resolution technique used in cell biology and bio-imaging. Here, we present a novel approach to realize multiscale super-resolution SIM by swapping the non-linearity between instrumentation and reconstruction algorithm to achieve super-resolution. Our goal is to overcome two conventional limitations of SIM i.e., fixed resolution and the need of precise knowledge of illumination pattern. The optical system encodes higher order frequencies of the sample by projecting PSF-modulated binary patterns for illuminating the sample plane, which do not have clean Fourier peaks conventionally used in SIM. These patterns fold high frequency content of sample into the measurements in an obfuscated manner, which are de-obfuscated using multiple signal classification algorithm. Our approach eliminates the need of clean peaks in the illumination pattern, which have multiple advantages i.e., simple instrumentation and the flexibility of using different collection lenses. The reconstruction algorithm used in the proposed work does not require known illumination. Finally, we reduce the sensitivity of reconstruction algorithm to the signal to background ratio. Here, we acquired patterned illumination images of the same sample using different collection objective lenses, and obtained diffraction limited as well as super-resolved images, supporting 4 different resolution in the same system through SIM. Our experimental results with multiple collection objective lens show wider applicability of the proposed system at signal to background ration as small as <3.
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Ankit Butola, Sebastian Acuna, Daniel Henry Hansen, and Krishna Agarwal "Multiscale resolution in structured illumination microscopy", Proc. SPIE 12630, Advances in Microscopic Imaging IV, 126300L (21 August 2023); https://doi.org/10.1117/12.2671708
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KEYWORDS
Light sources and illumination

Super resolution

Biological samples

Objectives

Reconstruction algorithms

Spatial light modulators

Binary data

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