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Stochastically Structured Illumination Microscopy scan less super resolution imaging

2024/09/24 by Davide Fusco, Fusco, Denzel, Emmanouil Xypakis +13
Biochemistry, Genetics and Molecular Biology · Engineering · #78A70 #92C55 #Advanced Fluorescence Microscopy Techniques #FOS: Physical sciences #Image Processing Techniques and Applications #Optics (physics.optics) #Photoacoustic and Ultrasonic Imaging

paper · pdf · doi:10.48550/arxiv.2409.16006

openalex publication_date 2024/09/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In Super-resolution, a varying-illumination image stack is required. This enriched the dataset typically necessitates precise mechanical control and micron scale optical alignment and repeatability. Here, we introduce a novel methodology for super-resolution microscopy called Stochastically Structured Illumination Microscopy (S2IM), which bypasses the need for illumination control instead exploiting the random, uncontrolled movement of the target object. We tested our methodology within the clinically relevant ophthalmoscopic setting, harnessing the inherent saccadic motion of the eye to induce stochastic displacement of the illumination pattern on the retina. We opted to avoid human subjects by utilizing a phantom eye model, featuring a retina composed of human induced pluripotent stem cells (iPSC) retinal neurons, and replicating the ocular saccadic movements by custom actuators. Our findings demonstrate that S2IM unlocks scan-less super-resolution with a resolution enhancement of 1.91, with promising prospects also beyond ophthalmoscopy applications such as active matter or atmospheric/astronomical observation.

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