Blind Super-Resolution Approach for Exploiting Illumination Variety in Optical-Lattice Illumination Microscopy

Abstract

Optical-lattice illumination patterns help in pushing high spatial frequency components of the sample into the optical transfer function of a collection microscope. However, exploiting these high-frequency components require precise knowledge of illumination if reconstruction approaches similar to structured illumination microscopy are employed. Here, we present an alternate blind reconstruction approach that can provide super-resolution without the requirement of extra frames. For this, the property of exploiting temporal fluctuations in the sample emissions using “multiple signal classification algorithm” is extended aptly toward using spatial fluctuation of phase-modulated lattice illuminations for super-resolution. The super-resolution ability is shown for sinusoidal and multiperiodic lattice with approximately 3- and 6-fold resolution enhancements, respectively, over the diffraction limit.

Transmission structured illumination microscopy with tunable frequency illumination using tilt mirror assembly

“…The experimental verification is performed for both It is observed that the traditional reconstruction fails to process the raw data for the cases when the illumination frequency lies outside the detection passband. We have implemented TIRF-SIM like reconstruction 39,41 approaches for our reconstruction, however, there are possibilities to explore blind 42,43 approaches which do not require the prior knowledge of the illumination patterns. Moreover, the deep-learning based 44,45 algorithms might offer potential application in the tSIM reconstruction.…”

Superresolution structured illumination microscopy reconstruction algorithms: a review

“…However, these methods require prior knowledge of the illumination pattern. In 2021, Samanta et al 165 envisaged the utility of optical lattice illumination patterns generated by phase-engineered interference of coplanar beams 166 and presented a blind reconstruction approach combined with Higher image contrast than flat-noise SIM TV-FISTA-SIM 150 Iterative algorithm Fast convergence speed a multiple signal classification algorithm (MUSICAL) 167 .…”

“…However, these methods require prior knowledge of the illumination pattern. In 2021, Samanta et al 165 envisaged the utility of optical lattice illumination patterns generated by phase-engineered interference of coplanar beams 166 and presented a blind reconstruction approach combined with a multiple signal classification algorithm (MUSICAL) 167 . The results demonstrated that using sinusoidal and multiperiodic illumination patterns, a maximum of three- and six-fold resolution enhancement beyond the diffraction limit could be obtained, respectively.…”

An overview of structured illumination microscopy: recent advances and perspectives

“…A few blind reconstruction approaches are available [40][41][42][43][44] which does not require any prior knowledge about the illumination patterns. The multiple signal classification algorithm [45] is also an efficient blind approach [46] for successful SIM reconstruction; which demonstrates common reconstruction approach both for temporal fluctuation and spatial fluctuation based imaging. Besides, there are deconvolution methods [47][48][49][50] for the SIM reconstruction.…”